Name: Data Analyst Training: Microsoft Power BI at QLS Level 7 Diploma
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<p><strong>***24 Hour Limited Time Flash Sale***<br /><br /></strong><strong> Learn C++ Admission Gifts <br /><br /></strong><strong> FREE PDF &amp; Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter</strong></p><p>Are you a professional feeling stuck in your career, struggling to keep up with the ever-changing demands of the industry? Or perhaps you're a beginner, unsure of where to start or how to break into your desired field. Whichever stage you're in, our exclusive Learn C++ from Scratch: The Complete Coding Guide Bundle provides unique insights and tools that can help you achieve your goals.</p><p>Designed to cater to the needs of both seasoned professionals and aspiring newcomers, our Learn C++ from Scratch: The Complete Coding Guide bundle is a comprehensive program that will equip you with the essential skills and knowledge you need to succeed. Whether you're looking to advance in your current role or embark on a new career journey, this bundle has everything you need to take your professional life to the next level.</p><p><strong>But that's not all. When you enrol in Learn C++ from Scratch: The Complete Coding Guide Online Training, you'll receive 30 CPD-Accredited PDF Certificates, Hard Copy Certificates, and our exclusive student ID card, all absolutely free.</strong></p><p><strong>Courses Are Included In this Learn C++ from Scratch: The Complete Coding Guide Career Bundle:</strong></p><ul><li><strong>Course 01: </strong>C++ Development: The Complete Coding Guide</li><li><strong>Course 02: </strong>Basic C# Coding</li><li><strong>Course 03: </strong>Computer Vision: C++ and OpenCV with GPU support</li><li><strong>Course 04: </strong>Python Basic Programming for Absolute Beginners</li><li><strong>Course 05: </strong>Python Programming for Everybody</li><li><strong>Course 06: </strong>Intermediate Python Coding</li><li><strong>Course 07: </strong>Higher Order Functions in Python - Level 03</li><li><strong>Course 08: </strong>Javascript Programming for Beginners</li><li><strong>Course 09: </strong>JavaScript Masterclass: ES6 Modern Development</li><li><strong>Course 10: </strong>JavaScript Foundations for Everyone</li><li><strong>Course 11: </strong>Basic Asynchronous JavaScript</li><li><strong>Course 12: </strong>SQL NoSQL Big Data and Hadoop</li><li><strong>Course 13: </strong>Level-3 Machine Learning Course with Python</li><li><strong>Course 14: </strong>Data Analytics with Tableau</li><li><strong>Course 15: </strong>R Programming for Data Science</li><li><strong>Course 16: </strong>JavaScript Functions</li><li><strong>Course 17: </strong>Introduction to Data Analysis</li><li><strong>Course 18: </strong>SQL Programming Masterclass</li><li><strong>Course 19: </strong>Complete Google Analytics Course</li><li><strong>Course 20: </strong>JavaScript Promises</li><li><strong>Course 21: </strong>jQuery Masterclass Course: JavaScript and AJAX Coding Bible</li><li><strong>Course 22: </strong>Quick Data Science Approach from Scratch</li><li><strong>Course 23: </strong>Microsoft SQL Server Development for Everyone</li><li><strong>Course 24: </strong>Learn to Use Python for Spatial Analysis in ArcGIS</li><li><strong>Course 25: </strong>Data Science with Python</li><li><strong>Course 26: </strong>C++ Coding Masterclass</li><li><strong>Course 27: </strong>C++ Programming for Absolute Beginners</li><li><strong>Course 28: </strong>Game Development using Cocos2d-x v3 C++</li><li><strong>Course 29: </strong>Tic-Tac-Toe Clone - The Complete SFML C++ Game Course</li><li><strong>Course 30: </strong>Computer Vision by Using C++ and OpenCV</li></ul><p>With Learn C++ from Scratch: The Complete Coding Guide, you'll embark on an immersive learning experience that combines interactive lessons with voice-over audio, ensuring that you can learn from anywhere in the world, at your own pace. And with 24/7 tutor support, you'll never feel alone in your journey, whether you're a seasoned professional or a beginner.</p><p>Don't let this opportunity pass you by. Enrol in Learn C++ from Scratch: The Complete Coding Guide today and take the first step towards achieving your goals and dreams.</p><p><strong>Why buy this Learn C++ from Scratch: The Complete Coding Guide?</strong></p><ul><li><strong>Free CPD Accredited Certificate</strong> upon completion of Learn C++ from Scratch: The Complete Coding Guide</li><li>Get <strong>a free student ID card</strong> with Learn C++ from Scratch: The Complete Coding Guide</li><li><strong>Lifetime access</strong> to the Learn C++ from Scratch: The Complete Coding Guide course materials</li><li>Get instant access to this Learn C++ from Scratch: The Complete Coding Guide course</li><li>Learn Learn C++ from Scratch: The Complete Coding Guide from anywhere in the world</li><li>24/7 tutor support with the Learn C++ from Scratch: The Complete Coding Guide course.</li></ul> <p><strong>Start your learning journey straightaway!</strong></p><p>Learn C++ from Scratch: The Complete Coding Guide premium bundle consists of 30 precisely chosen courses on a wide range of topics essential for anyone looking to excel in this field. Each segment of Learn C++ from Scratch: The Complete Coding Guide is meticulously designed to maximise learning and engagement, blending interactive content and audio-visual modules for a truly immersive experience.</p><p><strong>Certification</strong></p><p>You have to complete the assignment given at the end of the Learn C++ from Scratch: The Complete Coding Guide course. After passing the Learn C++ from Scratch: The Complete Coding Guide exam You will be entitled to claim a PDF &amp; Hardcopy certificate accredited by CPD Quality standards completely free.</p> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        300 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
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                        </div> <h2>
        
        <div>Who is this course for?</div>
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                        <div id="who_is_this_course_for">
                            <p>This bundle is ideal for:</p><ul><li>Students seeking mastery in this field</li><li>Professionals seeking to enhance their skills</li><li>Anyone who is passionate about this topic</li></ul>
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                        <div id="requirements">
                            <p>This <strong>Learn C++ from Scratch: The Complete Coding Guide</strong> doesn't require prior experience and is suitable for diverse learners.</p>
                        </div> <h2>
        
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                        <div id="career_path">
                            <p>This <strong>Learn C++ from Scratch: The Complete Coding Guide</strong> bundle will allow you to kickstart or take your career in the related sector to the next stage.</p>
                        </div> <h2>
        
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                        <div id="optional_extras">
                                    <h4>CPD Accredited Digital certificate</h4>
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            Digital certificate -
            Included
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        <h4>CPD Accredited Hard copy certificate</h4>
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            Hard copy certificate -
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            <div><p>If you are an <strong>international student</strong>, then you have to pay an additional <strong>10 GBP</strong> for each certificate as an international delivery charge.</p></div>

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Learn C++ from Scratch: The Complete Coding Guide - CPD Certified

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<p><strong>The future is data-driven.</strong> Imagine wielding the power to extract insights from vast datasets and leverage artificial intelligence to solve complex problems. This Data Science and Artificial Intelligence bundle empowers you to unlock the potential of data and AI. Equip yourself with the skills to solve complex problems, make informed decisions, and shape the future of data-driven innovation.</p><p><strong>What awaits you:</strong></p><ul><li><strong>15 in-depth courses:</strong> Master essential programming languages like Python and R, delve into statistics and probability, and explore the fascinating world of artificial intelligence.</li><li><strong>Learn by doing:</strong> Gain practical experience through hands-on projects, applying your knowledge to real-world data science and AI applications.</li><li><strong>Unlock career possibilities:</strong> Develop a sought-after skillset that opens doors to exciting opportunities in data science, machine learning, and AI-powered fields.</li></ul><p><strong>This is your chance to:</strong></p><ul><li>Become a data-driven decision-maker.</li><li>Build innovative AI solutions.</li><li>Transform businesses with the power of data.</li></ul><p><strong>Enrol now and take your first step towards a data-driven future!</strong></p><p><strong>Course List </strong></p><ul><li><strong>Statistics &amp; Probability for Data Science &amp; Machine Learning:</strong> Master the language of data! This course equips you with core statistical and probability concepts for analysing data and building machine learning models.</li></ul><ul><li><strong>R Programming for Data Science:</strong> Unleash the power of R, a popular programming language for data analysis and visualisation. Learn to manipulate data, perform statistical tests, and create informative graphics.</li></ul><ul><li><strong>Python Data Science:</strong> Dive into Python, the go-to language for data science. This course equips you with essential skills for data manipulation, analysis, and building machine learning models.</li></ul><ul><li><strong>SQL for Data Science, Data Analytics and Data Visualisation:</strong> Unlock the secrets of databases! Learn SQL, a powerful query language for retrieving and formatting data for analysis and visualisation in data science projects.</li></ul><ul><li><strong>Quick Data Science Approach from Scratch:</strong> Get started with data science fast! This course provides a foundational understanding of the entire data science workflow, from data acquisition to analysis and communication.</li></ul><ul><li><strong>Foundations of Artificial Intelligence:</strong> Demystify the world of AI! Explore core concepts like machine learning, deep learning, and natural language processing to understand how AI systems learn and solve problems.</li></ul><ul><li><strong>Consider replacing with:</strong><strong>Advanced Statistics for Data Science:</strong> Take your statistical skills to the next level. This course delves deeper into advanced statistical techniques commonly used in data science projects.</li></ul><ul><li><strong>ChatGPT &amp; AI: 23 Ways to Make Money with AI:</strong> Discover the monetisation potential of AI! Learn how to leverage ChatGPT, a large language model, and explore various ways to generate income through AI applications.</li></ul><ul><li><strong>ChatGPT for Marketing and Productivity with AI Tools:</strong> Boost your marketing and productivity with AI! Explore how ChatGPT and other AI tools can automate tasks, generate content, and optimise marketing campaigns.</li></ul><ul><li><strong>Hands-on Machine Learning Project - Auto Image Captioning for Social Media:</strong> Learn by doing! Build a real-world machine learning project that automatically generates captions for social media images. Gain practical experience in training and deploying a machine learning model.</li></ul><ul><li><strong>Spatial Data Visualisation and Machine Learning in Python:</strong> Uncover hidden patterns in location-based data! Learn spatial data analysis techniques and use Python to visualise and analyse geographic data for machine learning applications.</li></ul><ul><li><strong>Machine Learning for Predictive Maps in Python and Leaflet:</strong> Predict the future with maps and machine learning! Develop machine learning models that can make predictions based on geographic data, visualised using interactive maps with Leaflet.js.</li></ul><ul><li><strong>U&amp;P AI - Natural Language Processing (NLP) with Python:</strong> Make machines understand human language! Master NLP techniques for text analysis, sentiment analysis, and machine translation using Python libraries.</li></ul><ul><li><strong>Learn AI with Python:</strong> Deepen your understanding of AI. Explore various Python libraries and frameworks commonly used in machine learning and AI development.</li></ul><ul><li><strong>Creating REST APIs with Python Django:</strong> Connect your data and applications! Learn how to build RESTful APIs using Python's Django framework, enabling data exchange and communication between different systems.</li></ul><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        40 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <ul><li>Aspiring data scientists, machine learning engineers, and AI enthusiasts</li><li>Business professionals seeking to leverage data and AI for better decision-making</li><li>Anyone curious about the future of technology and its applications</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>This bundle has minimal entry requirements, requiring only access to a computer or mobile device with internet connectivity, basic computer literacy, proficiency in the English language, and a genuine eagerness to learn. We welcome learners from all backgrounds to join us in exploring new subjects and expanding their knowledge.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>The Data Science &amp; Artificial Intelligence Bundle equips you with a versatile skillset that opens doors to a multitude of exciting career paths. Here's a glimpse into some potential journeys you can embark on:</p><ul><li>Data Scientist</li><li>Machine Learning Engineer</li><li>AI Specialist</li><li>Business Intelligence Analyst</li><li>Data Analyst</li><li>Research Scientist</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4> Digital certificate</h4>
        <p>
            Digital certificate -
            £9
        </p>
        <h4> Hard copy certificate</h4>
        <p>
            Hard copy certificate -
            £15
        </p>
            <div><p>A Hardcopy Certificate (international): £15 + £10 (postal charge) = £25</p></div>

                        </div>

One Education

Data Science and Artificial Intelligence (Online) Course

<section style="color: rgb(33, 37, 41); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(33, 37, 41);"><h2 style="color: rgb(62, 57, 52); box-sizing: border-box;" fr-original-style=" color: rgb(62, 57, 52);">About this training course</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Business Impact:</strong>&nbsp;The main aim is to provide insight and understanding of data analytics and machine learning principles through applications. Field data is used to explain data-analysis workflows. Using easy to follow solution scripts, the participants will assess and extract value from the data sets. Hands-on solution approach will give them confidence to try out applicable techniques on data from their field assets.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Data analysis means cleaning, inspecting, transforming, and modeling data with the goal of discovering new, useful information and supporting decision-making. In this hands-on 2-day training course, the participants learn some data analysis and data science techniques and workflows applied to petroleum production (specifically artificial lift) while reviewing code and practicing. The focus is on developing data-driven models while keeping our feet closer to the underlying oil and gas production principles.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Unique Features:</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><em fr-original-style="" style="box-sizing: border-box;">Eight business use cases</em></strong>&nbsp;covering their business impact, code walkthroughs for most all and solution approach.</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><em fr-original-style="" style="box-sizing: border-box;">Industry data sets</em></strong>&nbsp;for participants to practice on and take home.</li><li fr-original-style="" style="box-sizing: border-box;">No software or complicated Python frameworks required.</li></ul></section><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><a href="https://petroedgeasia.net/training/data-analytics-workflows-for-artificial-lift-production-and-facility-engineers-classroom-training/" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">Download your brochure</a></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><a href="mailto:info@asiaedge.net?subject=Please Send me the Brochure for Data Analytics Workflows for Artificial Lift, Production and Facility Engineers" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">Email me the brochure</a></p><section style="color: rgb(33, 37, 41); box-sizing: border-box;" fr-original-style=" color: rgb(33, 37, 41);"><a data-toggle="collapse" href="https://petroedgeasia.net/training/data-analytics-workflows-for-artificial-lift-production-and-facility-engineers-classroom-training/#collapseOne" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);">TRAINING OBJECTIVES</a><div data-parent="#accordion" fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">After the completion of this training course, participants will be able to:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Understand digital oil field transformation and its impact on business</li><li fr-original-style="" style="box-sizing: border-box;">Examine machine learning methods</li><li fr-original-style="" style="box-sizing: border-box;">Review workflows and code implementations</li><li fr-original-style="" style="box-sizing: border-box;">After completing the course, participants will have a set of tools and some pathways to model and analyze their data in the cloud, find trends, and develop data-driven models</li></ul></div><a data-toggle="collapse" href="https://petroedgeasia.net/training/data-analytics-workflows-for-artificial-lift-production-and-facility-engineers-classroom-training/#collapseTwo" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);">TARGET AUDIENCE</a><div data-parent="#accordion" fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This training course is suitable and will greatly benefit the following specific groups:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Artificial lift, production and facilities engineers and students to enhance their knowledge base, increase technology awareness, and improve the facility with different data analysis techniques applied on large data sets</li></ul></div><a data-toggle="collapse" href="https://petroedgeasia.net/training/data-analytics-workflows-for-artificial-lift-production-and-facility-engineers-classroom-training/#collapsecl" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);">COURSE LEVEL</a><div data-parent="#accordion" fr-original-style="" style="box-sizing: border-box;"><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Intermediate</li><li fr-original-style="" style="box-sizing: border-box;">Advanced</li></ul></div><a data-toggle="collapse" href="https://petroedgeasia.net/training/data-analytics-workflows-for-artificial-lift-production-and-facility-engineers-classroom-training/#collapseThree" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);">TRAINING METHODS</a><div data-parent="#accordion" fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The course discusses several business use-cases that are amenable to data-driven workflows. For each use case, the instructor will show the solution using a data analysis technique with Python code deployed in the Google cloud. Trainees will solve a problem and tweak their solution.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><em fr-original-style="" style="box-sizing: border-box;">Course Duration: 2 days in total (14 hours).</em></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Training Schedule</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">0830 &ndash; Registration&nbsp;0900 &ndash; Start of training&nbsp;1030 &ndash; Morning Break&nbsp;1045 &ndash; Training recommences&nbsp;1230 &ndash; Lunch Break&nbsp;1330 &ndash; Training recommences&nbsp;1515 &ndash; Evening break&nbsp;1530 &ndash; Training recommences&nbsp;1700 &ndash; End of Training</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The maximum number of participants allowed for this training course is 20.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This course is also available through our Virtual Instructor Led Training (VILT) format.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Prerequisites:</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Understanding of petroleum production concepts</li><li fr-original-style="" style="box-sizing: border-box;">Knowledge of Python is not a must but preferred to get the full benefit.</li><li fr-original-style="" style="box-sizing: border-box;">The training will use the Google Collaboratory environment available in Google-Cloud for hands-on exercises</li><li fr-original-style="" style="box-sizing: border-box;">Trainees will need to bring a computer with a Google Chrome browser and a Google email account (available for free)</li></ul></div><a data-toggle="collapse" href="https://petroedgeasia.net/training/data-analytics-workflows-for-artificial-lift-production-and-facility-engineers-classroom-training/#collapseFive" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);">TRAINER</a><div data-parent="#accordion" fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Your expert course leader has over 35 years&rsquo; work-experience in multiphase flow, artificial lift, real-time production optimization and software development/management. His current work is focused on a variety of use cases like failure prediction, virtual flow rate determination, wellhead integrity surveillance, corrosion, equipment maintenance, DTS/DAS interpretation. He has worked for national oil companies, majors, independents, and service providers globally. He has multiple patents and has delivered a multitude of industry presentations. Twice selected as an SPE distinguished lecturer, he also volunteers on SPE committees. He holds a Bachelor&rsquo;s and Master&rsquo;s in chemical engineering from the Gujarat University and IIT-Kanpur, India; and a Ph.D. in Petroleum Engineering from the University of Tulsa, USA.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Highlighted Work Experience:</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">At Weatherford, consulted with clients as well as directed teams on digital oilfield solutions including LOWIS &ndash; a solution that was underneath the production operations of Chevron and Occidental Petroleum across the globe.</li><li fr-original-style="" style="box-sizing: border-box;">Worked with and consulted on equipment&rsquo;s like field controllers, VSDs, downhole permanent gauges, multiphase flow meters, fibre optics-based measurements.</li><li fr-original-style="" style="box-sizing: border-box;">Shepherded an enterprise-class solution that is being deployed at a major oil and gas producer for production management including artificial lift optimization using real time data and deep-learning data analytics.</li><li fr-original-style="" style="box-sizing: border-box;">Developed a workshop on digital oilfield approaches for production engineers.</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Patents:</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Principal inventor: &ldquo;Smarter Slug Flow Conditioning and Control&rdquo;</li><li fr-original-style="" style="box-sizing: border-box;">Co-inventor: &ldquo;Technique for Production Enhancement with Downhole Monitoring of Artificially Lifted Wells&rdquo;</li><li fr-original-style="" style="box-sizing: border-box;">Co-inventor: &ldquo;Wellbore real-time monitoring and analysis of fracture contribution&rdquo;</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Worldwide Experience in Training / Seminar / Workshop Deliveries:</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Besides delivering several SPE webinars, ALRDC and SPE trainings globally, he has taught artificial lift at Texas Tech, Missouri S&amp;T, Louisiana State, U of Southern California, and U of Houston.</li><li fr-original-style="" style="box-sizing: border-box;">He has conducted seminars, bespoke trainings / workshops globally for practicing professionals:<ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><u fr-original-style="" style="box-sizing: border-box;">Companies:</u>&nbsp;Basra Oil Company, ConocoPhillips, Chevron, EcoPetrol, Equinor, KOC, ONGC, LukOil, PDO, PDVSA, PEMEX, Petronas, Repsol, , Saudi Aramco, Shell, Sonatrech, QP, Tatneft, YPF, and others.</li><li fr-original-style="" style="box-sizing: border-box;"><u fr-original-style="" style="box-sizing: border-box;">Countries:</u>&nbsp;USA, Algeria, Argentina, Bahrain, Brazil, Canada, China, Croatia, Congo, Ghana, India, Indonesia, Iraq, Kazakhstan, Kenya, Kuwait, Libya, Malaysia, Oman, Mexico, Norway, Qatar, Romania, Russia, Serbia, Saudi Arabia, S Korea, Tanzania, Thailand, Tunisia, Turkmenistan, UAE, Ukraine, Uzbekistan, Venezuela.</li><li fr-original-style="" style="box-sizing: border-box;">Virtual training provided for PetroEdge, ALRDC, School of Mines, Repsol, UEP-Pakistan, and others since pandemic.</li></ul></li></ul></div><a data-toggle="collapse" href="https://petroedgeasia.net/training/data-analytics-workflows-for-artificial-lift-production-and-facility-engineers-classroom-training/#collapseCS" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);"></a></section><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><a href="https://petroedgeasia.net/training/data-analytics-workflows-for-artificial-lift-production-and-facility-engineers-classroom-training/" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">Download your brochure</a></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><a href="mailto:info@asiaedge.net?subject=Please Send me the Brochure for Data Analytics Workflows for Artificial Lift, Production and Facility Engineers" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">Email me the brochure</a></p><section style="color: rgb(33, 37, 41); box-sizing: border-box;" fr-original-style=" color: rgb(33, 37, 41);"><a data-toggle="collapse" href="https://petroedgeasia.net/training/data-analytics-workflows-for-artificial-lift-production-and-facility-engineers-classroom-training/#collapseCS" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);">POST TRAINING COACHING SUPPORT (OPTIONAL)</a><div data-parent="#accordion" fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">To further optimise your learning experience from our courses, we also offer individualized &ldquo;One to One&rdquo; coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster.<br fr-original-style="" style="box-sizing: border-box;"><a href="mailto:info@asiaedge.net?subject=Request%20for%20further%20information%20regarding%20post%20training%20coaching%20support" target="_blank" style="color: rgb(0, 123, 255); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(0, 123, 255);">Request for further information post training support</a>&nbsp;and fees applicable</p></div></section>

EnergyEdge - Training for a Sustainable Energy Future

Data Engineering

Data Science

Petroleum Engineering

Oil & Gas Industry

Enhance your skills in data analytics for artificial lift production and facility engineering with EnergyEdge's course. Sign up now!

Data Analytics Workflows for Artificial Lift, Production and Facility Engineers

Team of 10, pp

Normal Fee, pp

Redhill

<h3><b>Definitive Salt training course description</b></h3>
      <p>Salt is a remote execution framework and configuration
management system. This course covers Salt from the
basics. After a quick first taste the course moves onto
execution modules, salt states, minion and master data,
jinja, Salt extensions and then topology and
configuration options. Hands on sessions are used to
reinforce the theory rather than teach specific
manufacturer equipment.</p>
        
				<h5><b>What will you learn</b></h5>
				<ul>
				 
		<li>Install and use Salt.</li>
																					<li>Describe the architecture of Salt.</li>
                     <li>Manage configurations with Salt.</li>
																					<li>Extend Salt.</li>
                  </ul>
        <h5>
        <b>Definitive Salt training course details</b> </h5>
				<div>
					<div>
						<ul>
							<li><b> Who will benefit:</b> </li>
							
              <p>Anyone working with Salt.</p>
              
							<li><b>Prerequisites:</b></li>
							
							<p>Linux fundamentals.</p>
              
							<li><b>Duration</b></li>
							
              <p>2 days
						</p>
              
							
              
              
						</ul>
					</div>
				</div>
      <h3><b>Definitive Salt training course contents</b></h3>
      <ul>
				<li>Introduction </li><p>
What is Salt? High- level architecture, Some quick examples, system management, configuration management, A brief history, Topology options, Extending Salt.

</p><li>Quick start: First taste of Salt </li><p>
Single-master setup, from packages, bootstrap scripts, Starting up, Basic commands, salt: the main workhorse, salt-key: key management, salt-call: execution on the minion, salt-run: co-ordination of jobs on the master, summary of commands, Key management, viewing keys, accepting keys, rejecting keys, key files, Minion targeting, minion ID, list (-L), glob, regular expressions (-E), grains (-G), compound (-C), targeting summary, Additional remote execution details, Conclusion.

</p><li>Execution modules: The functional foundation </li><p>
sys: information and documentation about modules, sys.doc basic documentation, sys.list_modules, sys.list_functions: simple listings, cmd: execute via shell, cmd.run: run any command, pkg: manage packages, virtual modules, pkg.lists_pkgs: list all installed packages, pkg.available version: see what version will be installed, pkg.install: install packages, user: manage users, user.add: add users, user.list_users, user info: get user info, saltutil: access various Salt utilities, Summary.

</p><li>Configuration management: Salt states </li><p>
Salt files overview, SLS example: adding a user, working with the multi-layered state system, Highstate and the top file, the top file, State ordering, require: depend on another state, watch: run based on other changes, odds and ends, Summary.

</p><li>Minion data / master data </li><p>
Grains are minion data, performing basic grain operations, setting grains, targeting with grains in the top file, Pillars are data from the master, querying pillar data, querying other sources with external pillars, Renderers give data options.

</p><li>Extending Salt: part I </li><p>
Introduction to Jinja, Jinja basics, Templating with Jinja, filtering by grains, Custom execution module, Custom state modules, Custom grains, External pillars, Summary.

</p><li>More on the matter </li><p>
Runners, manage minions, manage jobs, The orchestrate runner, The event system, The reactor system, Summary.

</p><li>Extending Salt: part II </li><p>
Python client API, reading configuration data on a master and minion, using the master client (localclient) API, Using the caller client API, Custom runners, writing a custom runner, using the runnerclient API, Summary.

</p><li>Topology and configuration options </li><p>
Master configuration, directories and files, logging, access control, files server options, Topology variations, masterless minions, peer systems, syndication masters, multiple masters.

</p><li>Brief introduction to salt-cloud </li><p>
Overview, Setup AWS and salt-cloud, installing salt-cloud, cloud providers, cloud profiles, cloud maps, Introspection via salt cloud, Creating infrastructure, More information.

</p><li>Using vagrant to run Salt examples </li><p>
YAML.</p>
      </ul>

Systems & Network Training

Network & Security

Network Engineer

Definitive Salt for engineers

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Accelerate Your Full Stack Developer Career: Fast-Track Program with Exams, TOTUM Card &amp; 5-Year Support. Enrol Today!</p><hr fr-original-style="" style="border-color: var(--border-muted); border-style: solid; clear: both; break-after: page; user-select: none; box-sizing: border-box;"><div style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Study method</strong></div>Online</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></div><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Duration</strong></div>12months <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&middot;</strong>&nbsp;Self-paced</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></div><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Access to content</strong></div>5 years</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></div><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Certifications</strong></div></div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);">CompTIA IT Fundamentals Certification</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Pearson IT Specialist HTML5 Application Development</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Pearson IT Specialist HTML and CSS</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Pearson IT Specialist Python</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Pearson IT Specialist AI (Artificial Intelligence)</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Pearson IT Specialist Databases</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Pearson IT Specialist JavaScript</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><br fr-original-style="" style="box-sizing: border-box;"></div></div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Additional info</strong></div><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Exam(s) / assessment(s) is included in price</li><li fr-original-style="" style="box-sizing: border-box;">Tutor is available to students</li><li fr-original-style="" style="box-sizing: border-box;">TOTUM card included in price</li><li fr-original-style="" style="box-sizing: border-box;">Job guarantee programme is included in this course</li></ul><div fr-original-style="" style="box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></div><hr fr-original-style="" style="border-color: var(--border-muted); border-style: solid; clear: both; break-after: page; user-select: none; box-sizing: border-box;"><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><h2 fr-original-style="" style="box-sizing: border-box;">Overview</h2><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Learn the most in-demand digital skills in the world today with the Nuyew Tech Academy</strong></strong></p><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">A Full Stack Developer is someone who is familiar and comfortable with all layers in computer software development. Full Stack Developers have the functional knowledge and ability to take a concept and turn it into a finished product. They understand how everything works from top to bottom and can anticipate problems accordingly.</p><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Becoming a Full Stack Developer has many advantages over being a specialist in either front-end or back-end development with one of the main advantages being the fact that they tend to find themselves very much in demand as they have more of the key skills desired by the leading Tech Companies.</p></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 fr-original-style="" style="box-sizing: border-box;">Certifications</h2><div style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><h3 fr-original-style="" style="box-sizing: border-box;">CompTIA IT Fundamentals Certification</h3>Awarded by&nbsp;CompTIA</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h3 fr-original-style="" style="box-sizing: border-box;">Pearson IT Specialist HTML5 Application Development</h3><h3 fr-original-style="" style="box-sizing: border-box;">Pearson IT Specialist HTML and CSS</h3><h3 fr-original-style="" style="box-sizing: border-box;">Pearson IT Specialist Python</h3><h3 fr-original-style="" style="box-sizing: border-box;">Pearson IT Specialist AI (Artificial Intelligence)</h3><h3 fr-original-style="" style="box-sizing: border-box;">Pearson IT Specialist Databases</h3><h3 fr-original-style="" style="box-sizing: border-box;">Pearson IT Specialist JavaScript</h3>Awarded by Pearson</div></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><hr fr-original-style="" style="border-color: var(--border-muted); border-style: solid; clear: both; break-after: page; user-select: none; box-sizing: border-box;"><h2 fr-original-style="" style="box-sizing: border-box;">Description</h2><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">With a national shortage of&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Full Stack Developers</strong>, starting salaries of up to &pound;25,000 per annum (average UK Salary &pound;52,500) and amazing future employed and self-employed career prospects, take the next step today with our&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Fast Track Full Stack Developer Programme.</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">What you can expect from our Fast Track Programme:</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">World Class Education</li><li fr-original-style="" style="box-sizing: border-box;">Energetic and unlimited 24/7 Student Support</li><li fr-original-style="" style="box-sizing: border-box;">Real, tangible Career Outcomes</li><li fr-original-style="" style="box-sizing: border-box;">5 Years Career Support and Course Access</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">What our programme includes:</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Foundation Awards</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">CompTIA ITF+ (IT Fundamentals)</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Industry Recognised Qualifications</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Pearson IT Specialist HTML5 Application Development</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Pearson IT Specialist HTML and CSS</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Pearson IT Specialist JavaScript</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Pearson IT Specialist Python</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Pearson IT Specialist AI (Artificial Intelligence)</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Pearson IT Specialist Databases</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Exams</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Includes all Exams and Unlimited Re-Sits</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">5 Years Career Support Guarantee</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">As part of our unique Support Guarantee, our&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Career Support Team</strong>&nbsp;will assist you with:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">CV writing</li><li fr-original-style="" style="box-sizing: border-box;">Expert careers advice</li><li fr-original-style="" style="box-sizing: border-box;">Interview preparation</li><li fr-original-style="" style="box-sizing: border-box;">Identifying and applying for the best opportunities in your area</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">As a student in the&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Nuyew Tech Academy</strong>&nbsp;you will also be given exclusive access to our&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Career Skills Academy</strong>&nbsp;which includes advanced courses on Employability, CV Preparation, Interview Skills and Technique and everything else you need to get ready for your new Career.</p></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 fr-original-style="" style="box-sizing: border-box;">Who is this course for?</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This course is open to anyone interested in pursuing a Career in Full Stack Web Development. Our&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Foundation Level</strong>&nbsp;provides the flexibility for us to accommodate students with any level of previous knowledge and experience.</p></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 fr-original-style="" style="box-sizing: border-box;">Requirements</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This course is open to all and has no pre-requisites All you need is a passion for technology and a strong desire to succeed.</p></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 fr-original-style="" style="box-sizing: border-box;">Career path</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Our programme is designed to enable you to achieve an Entry Level/Helpdesk role during training (&pound;18k-&pound;24K) ensuring that you also have the vital work experience required to enter the Tech Industry at a higher level (Av Salary &pound;52.5K).</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;">Our Career Support Guarantee gives you exclusive access to our dedicated Career Support Team and Advanced Career Skills Academy for 5 Years following Graduation.</p><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></p></div></section></section></div>

NuYew Ltd

Full Stack Developer

Certified Full Stack Developer Pathway with Career Guarantee

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Accelerate Your Software Developer Career: Fast-Track Program with Exams, TOTUM Card &amp; 5-Year Support. Enrol Today!</p><hr fr-original-style="" style="border-color: var(--border-muted); border-style: solid; clear: both; break-after: page; user-select: none; box-sizing: border-box;"><div style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Study method</strong></div>Online</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></div><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Duration</strong></div>9 months <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&middot;</strong>&nbsp;Self-paced</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></div><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Access to content</strong></div>5 years</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></div><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Certifications</strong></div></div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);">CompTIA IT Fundamentals Certification</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Pearson IT Specialist Software Developer</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Pearson IT Specialist HTML5 Application Development</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Pearson IT Specialist HTML and CSS</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Pearson IT Specialist Java</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Pearson IT Specialist Python</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Pearson IT Specialist AI (Artificial Intelligence)</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><br fr-original-style="" style="box-sizing: border-box;"></div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Additional info</strong></div><ul fr-original-style="" style="box-sizing: border-box;"><li id="isPasted" fr-original-style="" style="box-sizing: border-box;">Exam(s) / assessment(s) is included in price</li><li fr-original-style="" style="box-sizing: border-box;">Tutor is available to students</li><li fr-original-style="" style="box-sizing: border-box;">TOTUM card included in price</li><li fr-original-style="" style="box-sizing: border-box;">Job guarantee programme is included in this course</li></ul><div fr-original-style="" style="box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></div><hr fr-original-style="" style="border-color: var(--border-muted); border-style: solid; clear: both; break-after: page; user-select: none; box-sizing: border-box;"><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><h2 fr-original-style="" style="box-sizing: border-box;">Overview</h2><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Learn the most in-demand digital skills in the world today with the Nuyew Tech Academy</strong></strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Demand for software developers is at an all-time high worldwide. Digital transformation affects every industry and developers are required to support the change.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Global shortages of coders mean that those skilled in this area command excellent salaries and have limitless opportunities around the world.</p></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 fr-original-style="" style="box-sizing: border-box;">Certifications</h2><h3 fr-original-style="" style="box-sizing: border-box;">CompTIA IT Fundamentals Certification</h3>Awarded by&nbsp;CompTIA<h3 fr-original-style="" style="box-sizing: border-box;">Pearson IT Specialist Software Developer</h3><h3 fr-original-style="" style="box-sizing: border-box;">Pearson IT Specialist HTML5 Application Development</h3><h3 fr-original-style="" style="box-sizing: border-box;">Pearson IT Specialist HTML and CSS</h3><h3 fr-original-style="" style="box-sizing: border-box;">Pearson IT Specialist Java</h3><h3 fr-original-style="" style="box-sizing: border-box;">Pearson IT Specialist Python</h3><h3 fr-original-style="" style="box-sizing: border-box;">Pearson IT Specialist AI (Artificial Intelligence)</h3>Awarded by&nbsp;Pearson</section></section></section></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><br fr-original-style="" style="box-sizing: border-box;"></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><hr fr-original-style="" style="border-color: var(--border-muted); border-style: solid; clear: both; break-after: page; user-select: none; box-sizing: border-box;"><h2 fr-original-style="" style="box-sizing: border-box;">Description</h2><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">With a national shortage of&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Software Developers</strong>, starting salaries of up to &pound;25,000 per annum (average UK Salary &pound;52,500) and amazing future employed and self-employed career prospects, take the next step today with our&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Fast Track&nbsp;</strong><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Software Developer&nbsp;</strong><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Programme.</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">What you can expect from our Fast Track Programme:</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">World Class Education</li><li fr-original-style="" style="box-sizing: border-box;">Energetic and unlimited 24/7 Student Support</li><li fr-original-style="" style="box-sizing: border-box;">Real, tangible Career Outcomes</li><li fr-original-style="" style="box-sizing: border-box;">5 Years Career Support and Course Access</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">What our programme includes:</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Foundation Awards</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">CompTIA ITF+ (IT Fundamentals)</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Industry Recognised Qualifications</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Pearson IT Specialist Software Developer</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Pearson IT Specialist HTML5 Application Development</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Pearson IT Specialist HTML and CSS</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Pearson IT Specialist Java</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Pearson IT Specialist Python</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Pearson IT Specialist AI (Artificial Intelligence)</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Exams</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Includes all Exams and Unlimited Re-Sits</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">5 Years Career Support Guarantee</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">As part of our unique Support Guarantee, our&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Career Support Team</strong>&nbsp;will assist you with:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">CV writing</li><li fr-original-style="" style="box-sizing: border-box;">Expert careers advice</li><li fr-original-style="" style="box-sizing: border-box;">Interview preparation</li><li fr-original-style="" style="box-sizing: border-box;">Identifying and applying for the best opportunities in your area</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">As a student in the&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Nuyew Tech Academy</strong>&nbsp;you will also be given exclusive access to our&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Career Skills Academy</strong>&nbsp;which includes advanced courses on Employability, CV Preparation, Interview Skills and Technique and everything else you need to get ready for your new Career.</p></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 fr-original-style="" style="box-sizing: border-box;">Who is this course for?</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This course is open to anyone interested in pursuing a Career in Software Development. Our&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Foundation Level</strong>&nbsp;provides the flexibility for us to accommodate students with any level of previous knowledge and experience.</p></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 fr-original-style="" style="box-sizing: border-box;">Requirements</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This course is open to all and has no pre-requisites All you need is a passion for technology and a strong desire to succeed.</p></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 fr-original-style="" style="box-sizing: border-box;">Career path</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Our programme is designed to enable you to achieve an Entry Level/Helpdesk role during training (&pound;18k-&pound;24K) ensuring that you also have the vital work experience required to enter the Tech Industry at a higher level (Av Salary &pound;52.5K).<br fr-original-style="" style="box-sizing: border-box;">Our Career Support Guarantee gives you exclusive access to our dedicated Career Support Team and Advanced Career Skills Academy for 5 Years following Graduation.</p></section></section></section></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><br fr-original-style="" style="box-sizing: border-box;"></section></section></div>

Software Developer

Certified Software Developer Pathway with Career Guarantee

<strong>Do you want to build a simple, reliable, and error-free chatbot for your business? If yes, then this is the course for you! Learn to build a chatbot with Amazon Lex, a fully-controlled AI service with sophisticated natural language models to create, develop, test, and deploy chatbots (conversational interfaces) in applications.</strong>
        <p>Amazon Lex, a fully-controlled AI service, has sophisticated natural language models to create, develop, test, and deploy chatbots (conversational interfaces) in applications. Amazon Web Service (AWS) provides AWS Lambda, a serverless computing service without provisioning or managing servers.

The course begins with an exhaustive overview of the fundamentals of AWS for chatbots, training chatbot development with deep learning.

Afterward, we will delve into the characteristics of AWS and its notable functionalities. Following this, we will embark on constructing a chatbot for hotel booking utilizing Amazon Lex. Subsequently, we will acquire the skills to establish an AWS Lambda function and establish its connection with Amazon Lex. Then, we will cover the concepts of chatbot backend development for AWS Lex and AWS Lambda. We will further advance to integrate the chatbot with Twilio and learn to use the AWS Software Development Kit. Website integration of AWS Lex chatbot and implementing response cards with chatbots is the final concept that we will explore in the course.

Upon completing this course, you will relate concepts and theories for chatbots in various domains, gain extensive understanding, and learn to implement AWS Lex and AWS Lambda for building real-world chatbots. You will independently build customized chatbots with AWS Lex and AWS Lambda and integrate your chatbots with WhatsApp, messaging apps, and websites.

All resources are available at: https://github.com/PacktPublishing/-Chatbots-Development-with-Amazon-Lex</p>
        <h2>What You Will Learn</h2><p>Learn the fundamentals of Amazon Web Services (AWS)<br>Gain hands-on chatbot development with Amazon Lex and Amazon Lambda<br>Explore web-based Amazon Web Services chatbot development<br>Run code on AWS Lambda without provisioning or managing servers<br>Learn practical usage of Twilio and its integration with AWS for chatbots<br>Explore the functionality of Amazon Lex for chatbot development</p>
        <h2>Audience</h2><p>This course is tailored for individuals interested in AWS and applying AWS Lex and AWS Lambda for chatbot development. This course will benefit individuals interested in building customized chatbots for their applications-AI practitioners, chatbot developers, research scholars, data scientists, and so on.</p>
        <h2>Approach</h2><p>The course is created as online tutorials that promote learning by doing. You get comprehensive knowledge via building and testing the implementation of projects in real-world applications. Simple, jargon-free explanations ensure that you understand the concepts clearly. The course provides a sound understanding of the basics before proceeding to more complex concepts.</p>
        <h2>Key Features</h2><p>Learn AWS Lex and Lambda basics and applications of chatbots and build them with hands-on practice * Develop chatbots with AWS Lex and AWS Lambda and test and implement chatbots in real-world apps * Learn essential chatbot integration with Twilio and Boto-3, and integrate websites with the chatbots</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/-Chatbots-Development-with-Amazon-Lex</p>
        <h2>About the Author</h2><h3>AI Sciences</h3><p>AI Sciences are experts, PhDs, and artificial intelligence practitioners, including computer science, machine learning, and Statistics. Some work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM.

AI sciences produce a series of courses dedicated to beginners and newcomers on techniques and methods of machine learning, statistics, artificial intelligence, and data science. They aim to help those who wish to understand techniques more easily and start with less theory and less extended reading. Today, they publish more comprehensive courses on specific topics for wider audiences.

Their courses have successfully helped more than 100,000 students master AI and data science.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p>This section focuses on the course introduction and provides a quick overview of the instructor/author of the course, the AI Sciences group and how they deliver courses, and a general course description.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Course Introduction</p><p style='margin: 0'>The instructor provides a general overview of what you will learn from this course-chatbot development with Amazon Lex. We will also discuss Amazon Lambda and different methodologies for chatbot building.</p></td></tr><tr><td style='padding: 15px;'><p>2. Instructor Introduction</p><p style='margin: 0'>In this video, we will quickly know the instructor/author of the course and look at his qualifications and experience in delivering the course in this online mode.</p></td></tr><tr><td style='padding: 15px;'><p>3. AI Sciences Introduction</p><p style='margin: 0'>This video briefly outlines AI Sciences, how they deliver courses online, their ratings and presence, and the topics they provide courses on.</p></td></tr><tr><td style='padding: 15px;'><p>4. Course Description</p><p style='margin: 0'>This video discusses the concepts to be covered in this course, including Amazon Web Services, Amazon Lex bot, Amazon Twilio, website integration, response cards, and more.</p></td></tr></tbody></table><br><h4>2. Fundamentals of AWS for Chatbots</h4><p>This section focuses on chatbot development with Amazon Lex, including the services offered, the salient features of Lex, the benefits of using Amazon Lex, and the architecture.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Module Overview</p><p style='margin: 0'>In this video, we will discuss the concepts covered in this module, including Amazon Web Services, the web services that Amazon provides, how we can use these services, and the benefits of AWS, apart from the salient features of AWS.</p></td></tr><tr><td style='padding: 15px;'><p>2. Overview of AWS</p><p style='margin: 0'>In this lecture, we will look at Amazon Web Services, which is the most comprehensive and widely adopted web service. We will also discuss its functionality, Amazon Community, security, innovation pace, operational expertise, and more.</p></td></tr><tr><td style='padding: 15px;'><p>3. Services of AWS</p><p style='margin: 0'>This video outlines the various services provided by AWS, including more than 200 services, AWS Compute, AWS Storage, AWS Database, AWS Migration, API Gateway, cloud management services, WAF and shield, elastic transcoder, and more.</p></td></tr><tr><td style='padding: 15px;'><p>4. Salient Features of AWS</p><p style='margin: 0'>Let's understand the salient features of AWS, including pricing, flexibility, and scalability, global architecture, PaaS services, reliability, scheduling, customization, and security.</p></td></tr><tr><td style='padding: 15px;'><p>5. Lex Bot Overview</p><p style='margin: 0'>In this video, we will look at the Amazon Lex bot. Here, we will briefly overview its architecture, define the chat experience and the processes involved, and deploy the chatbot.</p></td></tr><tr><td style='padding: 15px;'><p>6. Benefits of Amazon Lex</p><p style='margin: 0'>Here, we will discuss the benefits of using Lex bot, including seamless deployment and scaling, built-in integration with AWS, input technologies, cost-effectiveness, and simplicity.</p></td></tr><tr><td style='padding: 15px;'><p>7. Framework of Lex</p><p style='margin: 0'>In this lecture, we will discuss the framework of Amazon Lex and how it functions. We will look at the operation cycle of the Amazon chatbot.</p></td></tr></tbody></table><br><h4>3. Chatbot Development with AWS Lex and AWS Lambda</h4><p>This section focuses on chatbot development with Amazon Lex and AWS Lambda. This module is regarding hands-on training in chatbot development using Amazon Lex.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Module Overview</p><p style='margin: 0'>This is an introductory video on the concepts to be learned in this module, including chatbot creation steps, AWS Lambda, Twilio, and project creation.</p></td></tr><tr><td style='padding: 15px;'><p>2. Chatbot Steps</p><p style='margin: 0'>This video provides an in-depth outline of the various steps involved in creating a chatbot with Amazon Lex. We will understand how Amazon Lex connects with Amazon Lambda, Twilio software, and Amazon DynamoDB for storage.</p></td></tr><tr><td style='padding: 15px;'><p>3. AWS Lambda Steps</p><p style='margin: 0'>In this lesson, you will learn to connect Amazon Lambda with Amazon Lex. Amazon Lambda helps with the validation and fulfillment of the chatbot. You will learn about the steps involved in performing the connectivity.</p></td></tr><tr><td style='padding: 15px;'><p>4. Twilio and Website</p><p style='margin: 0'>In this video, you will learn about the Twilio application and how it helps Amazon Lex create the chatbot. You will learn to integrate Twilio with Lex. This is the third step for Twilio connectivity and website connectivity.</p></td></tr><tr><td style='padding: 15px;'><p>5. Response Cards</p><p style='margin: 0'>This is the last step in creating an Amazon Lex chatbot, creating and adding response cards, including the card setup, slot upgradation, chatbot building, and demonstration.</p></td></tr><tr><td style='padding: 15px;'><p>6. Start Developing Chatbot</p><p style='margin: 0'>This video demonstrates the process of creating the Amazon Lex chatbot step by step. You will learn to create your ID on Amazon.com and log in. We will get to the interface and start working from there.</p></td></tr><tr><td style='padding: 15px;'><p>7. Intent Utterance and Slot</p><p style='margin: 0'>In this video, we will discuss intent in depth, which are utterances the user asks, and reveal the user's intent. We will also understand about a slot, which is information that Amazon Lex requires to fulfill an intent.</p></td></tr><tr><td style='padding: 15px;'><p>8. Making Utterances</p><p style='margin: 0'>After understanding intents and slots in detail, we will make utterances in our chatbots. We will begin with creating intent and then create an utterance using the sample utterances tab.</p></td></tr><tr><td style='padding: 15px;'><p>9. Generic Utterance with Slots</p><p style='margin: 0'>This is the continuation of the lesson from the previous video, where we learned how to create a new intent and then create sample utterances. We will look at completing the information required for the chatbot to understand the intent and create the slot.</p></td></tr><tr><td style='padding: 15px;'><p>10. Adding Custom Slots</p><p style='margin: 0'>This video will teach us to add multiple customized slots to the utterances. We will create prompts, add slot types, create multiple slots, and then save our intent on the chatbot.</p></td></tr><tr><td style='padding: 15px;'><p>11. Build and Test</p><p style='margin: 0'>After creating the intents, we will want to create a few messages as responses to be displayed by the chatbot. You will learn to add acceptance and decline responses to the chatbot.</p></td></tr><tr><td style='padding: 15px;'><p>12. Visual Builder</p><p style='margin: 0'>In this video, we will create a conversational flow, plan the utterances, and make the chatbot accept the queries and responses. We will then use the visual builder to set up the visual perspective of the chatbot.</p></td></tr><tr><td style='padding: 15px;'><p>13. Lambda Introduction</p><p style='margin: 0'>After building and testing the chatbot and creating the visual structure, you will learn to create the backend on Amazon Lambda and connect it with our chatbot for seamless working.</p></td></tr><tr><td style='padding: 15px;'><p>14. Interconnection</p><p style='margin: 0'>This video demonstrates the process of connecting Amazon Lambda to our chatbot. We will create the functions required for our chatbot and author it from scratch.</p></td></tr><tr><td style='padding: 15px;'><p>15. Starting Lambda Code</p><p style='margin: 0'>In this video, we will prepare to write the code for the chatbot's functioning; we will import a few required libraries, including JSON, datetime, and time.</p></td></tr><tr><td style='padding: 15px;'><p>16. Session state Dialog Hook and Dialog Action</p><p style='margin: 0'>In this lecture, we will understand what a session state is, basically the state of the conversation between the user and the Amazon Lex chatbot and dialog action, which determines the action that Amazon Lex should take to the Lambda function.</p></td></tr><tr><td style='padding: 15px;'><p>17. Completing Lambda Function</p><p style='margin: 0'>In this lesson, we will complete the Lambda function and the last part of the chatbot build-the fulfillment code hook and add them to the database.</p></td></tr><tr><td style='padding: 15px;'><p>18. Testing Our Chatbot</p><p style='margin: 0'>After completing all the necessary steps in building the chatbot, we will now deploy the chatbot and back to the Lex console. We will then test the chatbot for the intended tasks it is to perform.</p></td></tr><tr><td style='padding: 15px;'><p>19. Chatbot Deployment on WhatsApp with Twilio</p><p style='margin: 0'>In this video, we will look at making sure that the chatbot is being communicated with correctly and that we do not need to use the Lex interface to use the chatbot.</p></td></tr><tr><td style='padding: 15px;'><p>20. Integration with Boto</p><p style='margin: 0'>In this lesson, we will discuss deploying our chatbot using code. We will not use a built-in application such as Twilio; instead, we will use a Python library, Boto.</p></td></tr><tr><td style='padding: 15px;'><p>21. Responses with Boto</p><p style='margin: 0'>After creating a query with Boto and obtaining responses from the chatbot, we will look at the responses obtained with Boto.</p></td></tr><tr><td style='padding: 15px;'><p>22. Chatbot on Website</p><p style='margin: 0'>This video demonstrates how to use the chatbot that we created on a website. We will look at the available code to implement the chatbot and showcase it on the website. We will use the app, Kommunicate.io.</p></td></tr><tr><td style='padding: 15px;'><p>23. Response Cards for User Experience</p><p style='margin: 0'>In this video, you will learn about creating response cards and adding better user themes and experiences.</p></td></tr><tr><td style='padding: 15px;'><p>24. Complete Chatbot with Response Cards</p><p style='margin: 0'>This video will teach us to create complete response cards and check the created slot types with options best suited for enhanced user experience. We will test the bot for the full functionality of the intended tasks.</p></td></tr></tbody></table>

Packt

AWS Lambda

Web Development

Python

Do you want to build a simple, reliable, and error-free chatbot for your business? If yes, then this is the course for you! Learn to build a chatbot with Amazon Lex, a fully-controlled AI service with sophisticated natural language models to create, develop, test, and deploy chatbots (conversational interfaces) in applications.

Chatbots Development with Amazon Lex

Loughborough

<div>
		

		<div>
			
			<p>This course will enable you to bring value to the business by putting data science concepts into practice. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, but it can also inform - by guiding decisions and influencing day-to-day operations.</p>
			<div><i></i> 5 Days - 1 Exam</div>
			<div><i></i>  £595.00 incl. VAT</div>
			
			
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			<p>Interested in attending? Have a suggestion about running this event near you?<br />Register your interest now</p>
			
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		<h3>Description</h3>
		<p></p><p>For a business to thrive in our data-driven world, it must treat data as one of its most important assets. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, but it can also inform - by guiding decisions and influencing day-to-day operations. This calls for a robust workforce of professionals who can analyze, understand, manipulate, and present data within an effective and repeatable process framework. In other words, the business world needs data science practitioners. This course will enable you to bring value to the business by putting data science concepts into practice. This course includes hands-on activities for each topic area.</p>
<h3>Course Objectives: </h3>
<p>In this course, you will implement data science techniques in order to address business issues. You will:</p>
<p>• Use data science principles to address business issues. <br />• Apply the extract, transform, and load (ETL) process to prepare datasets. <br />• Use multiple techniques to analyze data and extract valuable insights. <br />• Design a machine learning approach to address business issues. <br />• Train, tune, and evaluate classification models. <br />• Train, tune, and evaluate regression and forecasting models. <br />• Train, tune, and evaluate clustering models. <br />• Finalize a data science project by presenting models to an audience, putting models into production, and monitoring model performance.</p>
<p></p>
	
		<h3>Target Student</h3>
		<p></p><p>This course is designed for business professionals who leverage data to address business issues. The typical student in this course will have several years of experience with computing technology, including some aptitude in computer programming.  However, there is not necessarily a single organizational role that this course targets. A prospective student might be a programmer looking to expand their knowledge of how to guide business decisions by collecting, wrangling, analyzing, and manipulating data through code; or a data analyst with a background in applied math and statistics who wants to take their skills to the next level; or any number of other data-driven situations. </p>
<p>Ultimately, the target student is someone who wants to learn how to more effectively extract insights from their work and leverage that insight in addressing business issues, thereby bringing greater value to the business.  This course is also designed to assist students in preparing for the Certified Data Science Practitioner certification.</p>
<p></p>
	
		<h3>Prerequisites</h3>
		<p></p><p>To ensure your success in this course, you should have at least a high-level understanding of fundamental data science concepts, including, but not limited to: types of data, data science roles, the overall data science lifecycle, and the benefits and challenges of data science.</p>
<p>You should have also have experience with high-level programming languages like Python. Being comfortable using fundamental Python data science libraries like NumPy and pandas is highly recommended.</p>
<p>In addition to programming, you should also have experience working with databases, including querying languages like SQL. </p>
<p></p>
	
		<h3>Modules/Lessons</h3>
		<p></p><h4>Lesson 1: Addressing Business Issues with Data Science</h4>
<div>
<p>Topic A: Initiate a Data Science Project<br />Topic B: Formulate a Data Science Problem</p>
<h4>Lesson 2: Extracting, Transforming, and Loading Data</h4>
<p>Topic A: Extract Data <br />Topic B: Transform Data <br />Topic C: Load Data</p>
<h4>Lesson 3: Analyzing Data</h4>
<p>Topic A: Examine Data<br />Topic B: Explore the Underlying Distribution of Data <br />Topic C: Use Visualizations to Analyze Data<br />Topic D: Preprocess Data</p>
<h4>Lesson 4: Designing a Machine Learning Approach</h4>
<p>Topic A: Identify Machine Learning Concepts<br />Topic B: Test a Hypothesis</p>
</div>
<h4>Lesson 5: Developing Classification Models</h4>
<p>Topic A: Train and Tune Classification Models <br />Topic B: Evaluate Classification Models</p>
<h4>Lesson 6: Developing Regression Models</h4>
<p>Topic A: Train and Tune Regression Models <br />Topic B: Evaluate Regression Models</p>
<h4>Lesson 7: Developing Clustering Models</h4>
<p>Topic A: Train and Tune Clustering Models <br />Topic B: Evaluate Clustering Models</p>
<h4>Lesson 8: Finalizing a Data Science Project</h4>
<p>Topic A: Communicate Results to Stakeholders <br />Topic B: Demonstrate Models in a Web App <br />Topic C: Implement and Test Production Pipelines</p>
<p></p>

Mpi Learning - Professional Learning And Development Provider

This course will enable you to bring value to the business by putting data science concepts into practice. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, but it can also inform - by guiding decisions and influencing day-to-day operations.

Certified Data Science Practitioner

<p><strong>Uncover the secrets hidden within your data.</strong> In today's data-driven world, the ability to extract insights and build intelligent systems is a valuable asset. This comprehensive Diploma in Data Science Bundle equips you with the programming languages, statistical knowledge, and machine learning techniques needed to thrive in this exciting field.</p><p><strong>What can you expect from this Bundle?</strong></p><ul><li><strong>Master the fundamentals:</strong> Build a strong foundation in programming languages like Python and R, essential tools for data manipulation and analysis.</li><li><strong>Dive into Machine Learning:</strong> Explore various machine learning algorithms and techniques for predictive modelling, pattern recognition, and data-driven decision making.</li><li><strong>Embrace Big Data:</strong> Learn how to handle and analyse massive datasets using tools like PySpark and Hadoop.</li><li><strong>Become a data-driven professional:</strong> Develop the skills and knowledge to solve real-world problems and unlock the power of your data.</li></ul><p><strong>Enrol now and become a data-driven problem solver and propel your career to new heights!</strong></p><p><strong>Course List </strong></p><ul><li><strong>R Programming for Data Science:</strong></li></ul><ol><ol><ul><li>Master the fundamentals of R programming, a powerful language for data analysis and visualisation.</li><li>Learn how to import, clean, and manipulate data using R.</li></ul></ol></ol><ul><li><strong>Data Science &amp; Machine Learning with Python:</strong></li></ul><ol><ol><ul><li>Gain proficiency in Python, a versatile language widely used in data science applications.</li><li>Explore core machine learning concepts and build basic prediction models using Python libraries.</li></ul></ol></ol><ul><li><strong>Python Data Science:</strong></li></ul><ol><ol><ul><li>Deepen your understanding of Python for data science, including data structures, libraries like NumPy and Pandas, and data wrangling techniques.</li><li>Learn how to implement data visualisation tools like Matplotlib and Seaborn to create compelling data stories.</li></ul></ol></ol><ul><li><strong>SQL for Data Science, Data Analytics and Data Visualisation:</strong></li></ul><ol><ol><ul><li>Master SQL, a crucial language for querying and retrieving data from relational databases.</li><li>Learn how to integrate SQL with other data science tools for efficient analysis.</li></ul></ol></ol><ul><li><strong>Quick Data Science Approach from Scratch:</strong></li></ul><ol><ol><ul><li>Gain a foundational understanding of the data science workflow, from data acquisition to model deployment.</li><li>Learn how to approach data science problems in a structured and efficient manner.</li></ul></ol></ol><ul><li><strong>Computer Science With Python:</strong></li></ul><ol><ol><ul><li>Build a solid foundation in computer science principles, including algorithms, data structures, and problem-solving techniques.</li><li>Learn how to apply these concepts to solve data science challenges using Python.</li></ul></ol></ol><ul><li><strong>Big Data Analytics with PySpark Power BI and MongoDB:</strong></li></ul><ol><ol><ul><li>Explore big data technologies like PySpark for distributed data processing and MongoDB for handling NoSQL databases.</li><li>Learn how to integrate these tools with Power BI for effective data visualisation and business intelligence.</li></ul></ol></ol><ul><li><strong>SQL NoSQL Big Data and Hadoop:</strong></li></ul><ol><ol><ul><li>Gain a comprehensive understanding of different database types, including SQL, NoSQL, and Big Data frameworks like Hadoop.</li><li>Learn how to choose the appropriate database technology for different data science projects.</li></ul></ol></ol><ul><li><strong>Machine Learning Basics:</strong></li></ul><ol><ol><ul><li>Demystify core machine learning concepts like supervised and unsupervised learning algorithms.</li><li>Learn how to evaluate and interpret the performance of machine learning models.</li></ul></ol></ol><ul><li><strong>Machine Learning for Aspiring Data Scientists: Zero to Hero:</strong></li></ul><ol><ol><ul><li>Progress from beginner to intermediate in machine learning, building more complex models and exploring advanced techniques.</li><li>Learn how to apply machine learning to solve real-world data science problems.</li></ul></ol></ol><ul><li><strong>Business Intelligence and Data Mining:</strong></li></ul><ol><ol><ul><li>Discover best practices for extracting valuable insights from data for business decision making.</li><li>Learn data mining techniques to uncover hidden patterns and trends in large datasets.</li></ul></ol></ol><ul><li><strong>Deep Learning &amp; Neural Networks Python - Keras:</strong></li></ul><ol><ol><ul><li>Delve into the world of deep learning and artificial neural networks, a powerful technique for complex data analysis.</li><li>Learn how to implement deep learning models using popular libraries like Keras in Python.</li></ul></ol></ol><ul><li><strong>Project on Deep Learning - Artificial Neural Network:</strong></li></ul><ol><ol><ul><li>Apply your deep learning knowledge to solve a practical data science problem through a hands-on project.</li><li>Gain experience in building and deploying deep learning models.</li></ul></ol></ol><ul><li><strong>Essential Training on Deep Learning Heuristic using R:</strong></li></ul><ol><ol><ul><li>Explore deep learning concepts and implement algorithms using the R programming language.</li><li>Learn how to leverage R's capabilities for specific deep learning tasks.</li></ul></ol></ol><ul><li><strong>Statistics &amp; Probability for Data Science &amp; Machine Learning:</strong></li></ul><ol><ul><li>Develop a strong foundation in statistical concepts essential for data analysis and machine learning models.</li><li>Learn how to interpret data, conduct hypothesis testing, and assess the reliability of your results.</li></ul></ol><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        40 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <ul><li>Individuals with a passion for data and an interest in extracting insights.</li><li>Professionals seeking to upskill or transition into a data science career.</li><li>Anyone who wants to unlock the power of data for better decision-making.</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>This bundle has minimal entry requirements, requiring only access to a computer or mobile device with internet connectivity, basic computer literacy, proficiency in the English language, and a genuine eagerness to learn. We welcome learners from all backgrounds to join us in exploring new subjects and expanding their knowledge.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Data Scientist</li><li>Machine Learning Engineer</li><li>Data Analyst</li><li>Business Intelligence Specialist</li><li>Data Visualisation Specialist</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4> Digital certificate</h4>
        <p>
            Digital certificate -
            £9
        </p>
        <h4> Hard copy certificate</h4>
        <p>
            Hard copy certificate -
            £15
        </p>
            <div><p>A Hardcopy Certificate (international): £15 + £10 (postal charge) = £25</p></div>

                        </div>

Diploma in Data Science Course

<p><strong>** Designed by Industry Specialist | FREE 2 CPD Courses With Certificates | QLS Level 7 Diploma Course | QLS Hard Copy Certificate Included | 180 CPD Points | Lifetime Access | Installment Payment | Tutor Support **</strong></p><p>In an era where 2.5 quintillion bytes of data are produced daily, the ability to process and visualise that data is paramount. Enter Power BI a tool that's taking the business world by storm. As the global market becomes increasingly data-driven, the role of a competent Data Analyst cannot be overstated. Introducing the "<strong>Data Analyst Training: Microsoft Power BI at QLS Level 7 Diploma</strong>." Designed by an industry specialist, this all-around course will guide you from the basics to the complicated nuances of <strong>Power BI</strong>, ensuring that you're not just a participant but a commander in the data revolution.</p><p>Experience beyond simple data processing. Get into 14 meticulously crafted modules that cover everything: from establishing a solid foundation in <strong>Module 01</strong> to storytelling with data in <strong>Module 08</strong> and even integrating advanced languages like Python in Module 07. With each module endorsed by <strong>Quality Licence Scheme</strong>, explore mini-projects that bolster your application abilities. By the end, you'll be adept at transforming raw data into actionable insights and compelling stories giving you a distinctive edge in the global job market.</p><p>As businesses globally recognise the vast potential of data, the demand for adept <strong>Power BI </strong>professionals skyrockets. But why be just another analyst when you can be the best? Train yourself with the "<strong>Data Analyst Training: Microsoft Power BI at QLS Level 7 Diploma</strong>" and harness the power of data to shape tomorrow. Your journey to global recognition begins here. Enrol now!</p><p><strong>â </strong><strong>ADDITIONAL GIFT </strong><strong>â</strong></p><ul><li><strong>Free Course 01:</strong> Google Data Studio</li><li><strong>Free Course 02:</strong> Business Intelligence and Data Mining</li></ul><p><strong>Learning Outcomes:</strong></p><ul><li>Be competent in the foundational concepts of Microsoft Power BI, from installation to interface navigation.</li><li>Develop proficiency in data transformation techniques using the Query Editor.</li><li>Acquire advanced data transformation skills, including dynamic data operations with the M formula language.</li><li>Comprehend the intricacies of creating robust and efficient data models with diverse relationships.</li><li>Formulate compelling visual representations of data, exploring visuals like pie charts, treemaps, and matrix visuals.</li><li>Integrate Python within Power BI, enabling advanced data manipulation and machine learning capabilities.</li><li>Narrate compelling data-driven stories, leveraging effective visualisation and storytelling techniques.</li><li>Grasp the essentials of DAX for powerful data operations, from basic aggregations to context manipulations with CALCULATE.</li><li>Navigate and optimise the Power BI Cloud Service, ensuring seamless data presentations and platform sharing.</li><li>Implement advanced security measures, understanding row-level security for safeguarding sensitive data.</li></ul><p>Experience the transformative world of data with our "<strong>Data Analyst Training: Microsoft Power BI at QLS Level 7 Diploma</strong>". Prepared by industry experts, this course bridges foundational concepts with advanced techniques, enabling learners to extract, visualise, and communicate insights effectively. From conquering Power BI's interface to advanced data storytelling, integrate Python and DAX for a holistic analytical experience. Ideal for aspiring data professionals, this course promises hands-on projects and mastery of the global market.</p><p><strong>Course Curriculum:</strong></p><p><strong>** Data Analyst Training: Microsoft Power BI at QLS Level 7 Diploma **</strong></p><p><strong>Module 01: Introduction</strong></p><ul><li>Welcome!</li><li>What is Power BI?</li><li>Download &amp; Installing Power BI Desktop</li><li>Getting to know the interface</li><li>Mini Project: Transform Data</li><li>Mini Project: Visualise Data</li><li>Mini Project: Creating a Data Model</li><li>Course Outline: What will you learn in this course?</li><li>How to learn best with this course?</li></ul><p><strong>Module 02: Preparing our Project</strong></p><ul><li>Creating our initial project file</li><li>Working with the attached project files</li></ul><p><strong>Module 03: Data Transformation - The Query Editor</strong></p><ul><li>Exploring the Query Editor</li><li>Connecting to our data source</li><li>Editing rows</li><li>Changing data types</li><li>Replacing values</li><li>Close &amp; Apply</li><li>Connecting to a CSV file</li><li>Connecting to a web page</li><li>Extracting characters</li><li>Splitting &amp; merging columns</li><li>Creating conditional columns</li><li>Creating columns from examples</li><li>Merging Queries</li><li>Pivoting &amp; Unpivoting</li><li>Appending Queries</li><li>Practice &amp; Solution: Population table</li><li>The Fact-Dimension-Model</li><li>Practice: Load the dimension table</li><li>Organising our queries in groups</li><li>Entering data manually</li><li>Creating an index column</li><li>Workflow &amp; more transformations</li><li>Module summary</li><li>Exercise 1 - Instruction</li><li>Exercise Solution</li></ul><p><strong>Module 04: Data Transformation - Advanced</strong></p><ul><li>Advanced Editor - Best practices</li><li>Performance: References vs. Duplicating</li><li>Performance: Enable / Disable Load &amp; Report Refresh</li><li>Group by</li><li>Mathematical Operations</li><li>Run R Script</li><li>Using Parameters to transform data dynamically</li><li>M formula language: Basics</li><li>M formula language: Values, Lists &amp; Tables</li><li>M formula language: Functions</li><li>M formula language: More functions &amp; steps</li><li>Exercise 2 - Instructions</li><li>Exercise 2 - Solution</li></ul><p><strong>Module 05: Creating a Data Model</strong></p><ul><li>Understanding the relationship</li><li>Create &amp; edit relationships</li><li>One-to-many &amp; one-to-one relationship</li><li>Many-to-many (m:n) relationship</li><li>Cross filter direction</li><li>Activate &amp; deactivate relationships</li><li>Model summary</li><li>Exercise 3 Create Model</li><li>Exercise 3 Solution</li></ul><p><strong>Module 06: Data Visualisation</strong></p><ul><li>Our first visual</li><li>The format tab</li><li>Understanding tables</li><li>Conditional formatting</li><li>The Pie Chart</li><li>All about the filtered visual</li><li>The filter pane for developers</li><li>Cross-filtering &amp; editing interactions</li><li>Syncing slicers across pages</li><li>Creating drill-downs</li><li>Creating drill throughs</li><li>The treemap visual</li><li>The decomposition tree</li><li>Understanding the matrix visual</li><li>Editing pages</li><li>Buttons &amp; Actions</li><li>Bookmarks to customise your report</li><li>Analytics and Forecasts with line charts</li><li>Working with custom visuals</li><li>Get data using R Script &amp; R Script visual</li><li>Asking questions - Q&amp;A visual</li><li>Wrap up - data visualisation</li></ul><p><strong>Module 07: Power BI &amp; Python</strong></p><ul><li>Python in Power BI - Plan of attack</li><li>Setting up Python for Power BI</li><li>Transforming data using Python</li><li>Creating visualisations using Python</li><li>Violin plots, pair plots &amp; ridge plots using Python</li><li>Machine learning (Bayes Text Analyser) using Python</li><li>Performance &amp; Troubleshooting</li></ul><p><strong>Module 08: Storytelling with Data</strong></p><ul><li>Introduction</li><li>Show Empathy &amp; Identify the Requirement</li><li>Finding the Most Suitable KPIs</li><li>Choose an Effective Visualisation</li><li>Make Use of Natural Reading Patterns</li><li>Tell a Story Using Visual Cues</li><li>Avoid Chaos &amp; Group Information</li><li>Warp Up - Storytelling with Data</li></ul><p><strong>Module 09: DAX - The Essentials</strong></p><ul><li>Introduction</li><li>The project data</li><li>Measures vs. Calculated Columns</li><li>Automatically creating a date table in DAX</li><li>CALENDAR</li><li>Creating a complete date table with features</li><li>Creating a key measurement table</li><li>Aggregation functions</li><li>The different versions of COUNT</li><li>SUMX - Row-based calculations</li></ul><p><strong>Module 10: DAX - The CALCULATE function</strong></p><ul><li>Calculate - The basics</li><li>Changing the context with FILTER</li><li>All</li><li>All SELECTED</li><li>All Except</li></ul><p><strong>Module 11: Power BI Service - Power BI Cloud</strong></p><ul><li>How to go on now?</li><li>Power BI Pro vs Premium &amp; Signing up</li><li>Exploring the interface</li><li>Discovering your workspace</li><li>Connecting Power BI Desktop &amp; Cloud</li><li>Understanding datasets &amp; reports</li><li>Working on reports</li><li>Updating reports from Power BI Desktop</li><li>Creating and working with workspaces</li><li>Installing &amp; using a data gateway</li><li>Get Quick Insights</li><li>Creating dashboards</li><li>Sharing our results through Apps</li><li>Power BI Mobile App</li><li>Creating the layout for the Mobile App</li><li>Wrap up - Power BI Cloud</li></ul><p><strong>Module 12: Row-Level Security</strong></p><ul><li>Introduction</li><li>Creating a Row-Level Security</li><li>Row-Level Security in the Cloud</li><li>Row-Level Security &amp; Data Model</li><li>Dynamic Row-Level Security</li><li>Dynamic Many-to-Many RLS</li><li>Hierarchical Row-Level Security</li></ul><p><strong>Module 13: More data sources</strong></p><ul><li>JSON &amp; REST API</li><li>Setting up a local MySQL database</li><li>Connecting to a MySQL database in Power BI</li><li>Connecting to a SQL database (PostgreSQL)</li></ul><p><strong>Module 14: Next steps to improve &amp; stay up to date</strong></p><ul><li>Congratulations &amp; next steps</li><li>The End</li></ul><p><strong>Please Note:</strong> Imperial Academy is an approved reselling partner for Quality Licence Scheme courses under One Education.</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        180 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>This <strong>Data Analyst Training: Microsoft Power BI at QLS Level 7 Diploma </strong>course is appropriate for the following:</p><ul><li>Aspiring data analysts eager to kickstart or advance their careers in the data visualization realm.</li><li>Business professionals wanting to harness data-driven insights for strategic decision-making.</li><li>Researchers and academicians aiming to represent complex data sets in easily digestible visuals.</li><li>IT specialists looking to expand their skill set into the booming field of data analytics and visualization.</li><li>Companies and teams aiming to upskill their members for improved data-driven operations and reporting.</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>No requirements to enrol in <strong>Data Analyst Training: Microsoft Power BI at QLS Level 7 Diploma</strong>.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Data Analyst: £25,000 - £40,000</li><li>Software Engineer: £28,000 - £55,000</li><li>Marketing Manager: £30,000 - £50,000</li><li>Civil Engineer: £27,000 - £52,000</li><li>Graphic Designer: £21,000 - £37,000</li><li>Solicitor: £30,000 - £60,000</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Hard Copy QLS Certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
        <h4>PDF Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>Student ID Card</h4>
        <p>
            Digital certificate -
            Included
        </p>

                        </div>

Imperial Academy

Bring Your Data To Life | Designed by Industry Specialist |  Level 7 | QLS Endorsed Diploma | Certificate Included

Data Analyst Training: Microsoft Power BI at QLS Level 7 Diploma

"Start your career as a Certified Python Programmer and earn up to £70,000 per Year."
Are you looking to make your mark in the ever-evolving world of Data Analyst? The demand for Python programmers has never been higher. Just in the UK, job postings for Analysts / Python programmers surged by an astounding 70% in 2022. This exponential growth trend signifies the soaring need for skilled Python programmers. Amid this vibrant job market, our Python Programmer online Training is your golden ticket to a prosperous career in programming or Data Analysis. Regardless of your level - beginner or expert - we ensure a comprehensive learning experience that will enhance your current skills and prepare you for the dynamic tech industry.
We envision being your reliable ally throughout your journey - from imparting quality Python training to ensuring your employability in the programming world.
Our Python Certification Program offers more than just technical know-how. We extend comprehensive career mentoring and support designed to mould you into an industry-ready professional. We'll assist you in creating an impressive resume, preparing for interviews, and landing your dream job. With a vast network of partner companies continually looking for Python programmers, we provide an opportunity to get your foot in the door of your desired companies.
Our mission is simple - to be your trusted partner every step of the way, from training to employment.
In addition to teaching you the technical skills you need, we will also provide you with career mentoring and support. We will help you build your resume, prepare for interviews, and land your dream job. We also have partnerships with many companies that are hiring Programmers, so we can help you get your foot in the door.
If you are not happy with our service, we also offer a 100% money-back guarantee. So what are you waiting for? Enrol in our Python Certification - IT Program today and start your journey to becoming a successful Python Programmer!
Why Choose Us?
So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Certified Python Programmers:
Personalised Guidance: We believe in the power of individual attention. Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some Python experience, we will guide you towards honing your skills and developing a strong foundation in Python.
One-On-One Consultation: Gain invaluable insights and guidance from seasoned professionals who have thrived in the Python programming field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise.
Extensive Job Opportunities: We have established partnerships with numerous companies actively seeking Certified Python Programmers. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere.
Interview Preparation: No more stress over unexpected interview questions. We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress.
Courses we will provide once you enrol in the program:
Course 01: Computer Science With Python
Course 02: Ultimate Python Training for Beginners
Course 03: Python Intermediate Training
Course 04: Python Advanced Training
Course 05: Deep Learning & Neural Networks Python - Keras
Course 06: Complete Python Machine Learning & Data Science Fundamentals
Course 06: Introduction to Data Analysis
Course 07: Business and Data Analytics for Beginners
Course 08: Data Analytics with Tableau
Course 09: Quick Data Science Approach from Scratch
Course 10: Learn MySQL from Scratch for Data Science and Analytics
Course 11: SQL for Data Science, Data Analytics and Data Visualization
Course 12: Statistics & Probability for Data Science & Machine Learning
Course 13: Basic Google Data Studio
Course 14: Machine Learning with Python Course
Course 15: Python Programming Bible | Networking, GUI, Email, XML, CGI
Course 16: Web Scraping and Mapping Dam Levels in Python and Leaflet
Course 17: Coding Essentials - Javascript, ASP. Net, C#
Course 19: Master JavaScript with Data Visualization
How Can We Offer Job Guarantees?
HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector.
The Python Certification - IT Training is completed in 9 easy steps:
Step 1: Enrol in the Programme
Begin your exciting journey with us by enrolling in the Python Certification Training program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied.
After you enrol in the Program, you will get lifetime access to 19 Premium Courses related to Python Programming. These courses will teach you the knowledge and skills required to become a successful Python Prgrammer. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing!
Step 2: Initial One-On-One Counselling Session
Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path.
Step 3 - Certification upon Course Completion
After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject.
Step 4: CV Revamping
Our team of professionals will build you a compelling CV and LinkedIn profile. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the programming/development industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently.
Step 5: Building Network and Submitting CV
We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many high-profile individuals and companies through your LinkedIn profile.
Step 6: Interview Preparation
With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills.
Step 7: Securing Job Interviews
Leveraging our partnerships with leading companies, we'll secure job interviews for you. We'll ensure you get the opportunity to showcase your skills to potential employers and get the dream job you want.
Step 8: Post-Interview Support
Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job.
Step 9: Celebrate Your New Job!
Once you've secured your dream job in Python Programming, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role.
We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful career in Python Programming begins with us.
 CPD 
100 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
This Python Certification Course is suitable for:
Beginners with no prior programming experience who are looking to enter the world of coding.
Intermediate programmers who wish to expand their skills and explore Python's extensive usage.
IT professionals seeking to diversify their skill sets and stay relevant in today's tech-driven market.
Data analysts and scientists who want to leverage Python's powerful libraries for their data processing needs.
Students and recent graduates looking to enhance their employability in the thriving tech industry.
Entrepreneurs who wish to understand and utilise Python to automate tasks and analyse data for their businesses.
Anyone with a keen interest in Python programming and a desire to delve into its applications in diverse fields like web development, data science, machine learning, and more.
 Requirements 
No experience required. Just enrol & start learning python.
 Career path 
Upon completion of our Program, the potential career paths include:
Python Developer: £30,000 - £90,000 annually
Data Scientist: £40,000 - £100,000 annually
Machine Learning Engineer: £50,000 - £110,000 annually
Data Analyst: £35,000 - £85,000 annually
Software Engineer: £35,000 - £95,000 annually
Back-end Developer: £40,000 - £95,000 annually
Web Developer: £30,000 -£85,000 annually
 Certificates 
CPD Accredited e-Certificate
 Digital certificate - Included 
CPD Accredited Framed (Hardcopy) Certificate
 Hard copy certificate - Included 
Enrolment Letter
 Digital certificate - Included 
QLS Endorsed Hard Copy Certificate
 Hard copy certificate - Included 
Student ID Card
 Digital certificate - Included 

Programming Fundamentals

Career Development

IT Certifications

Become an IT professional with our Python Certification - IT Job Ready Program! Gain comprehensive skills in Python programming, data analysis, and automation. We offer a money-back guarantee if you don't secure a job within six months of completion. Enroll now and jumpstart your tech career!


Ready to land your dream job in tech? Our Python Certification - IT Job Ready Program equips you with essential Python programming, data analysis, and automation skills. Plus, we offer a money-back guarantee if you don't get hired within six months of completing the course. Don't miss out – enroll today and take the first step towards a successful IT career! 💻📊 #PythonCertification #TechTraining #CareerReady #MoneyBackGuarantee

Python Certification - IT Job Ready Program with Money Back Guarantee

<p><strong>Start your career in Data Science and earn up to £90,000 per month.</strong></p><p>Are you eager to dive into the high-speed world of Data Science powered by Python? In the UK alone, Data Scientist job postings witnessed a dramatic increase of 67% in 2022, emphasising the burgeoning demand for proficient Python programmers. Amid such a dynamic job market, our online course - Data Science with Python, serves as your stepping-stone to a universe of opportunities. Whether you're taking your first step into the realm of Data Science or aiming to augment your existing skills, our program offers peerless support, ensuring you're industry-ready by the time you complete our course.</p><p><strong>Our mission is simple</strong> - to be your trusted partner every step of the way, from training to employment.</p><p>In addition to teaching you the technical skills you need, we will also provide you with <strong>career mentoring and support</strong>. We will help you build your resume, prepare for interviews, and land your <strong>dream job</strong>. We also have<strong> partnerships with many companies</strong> that are hiring Data <strong>Scientists</strong>, so we can help you get your foot in the door.</p><p>If you are not happy with our service, we also offer a <strong>100% money-back guarantee</strong>. So what are you waiting for? Enrol in our Data Scientist with Python Training Program today and start your journey to becoming a successful Data Scientist!</p><p>If you have any questions, you can <strong>contact us</strong>. We will be happy to provide you with all the information you need.</p><p><strong>Why Choose Us?</strong></p><p>So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Data Scientist with Python:</p><ul><li><strong>Personalised Guidance:</strong> We believe in the power of individual attention. Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some Python experience, we will guide you towards honing your skills and developing a strong foundation in both Data Science and Python.<br /><br /></li><li><strong>One-On-One Consultation Sessions with Industry Experts:</strong> Gain invaluable insights and guidance from seasoned professionals who have thrived in the Data Science field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise.<br /><br /></li><li><strong>Extensive Job Opportunities:</strong> We have established partnerships with numerous companies actively seeking Data Scientists. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere.<br /><br /></li><li><strong>Interview Preparation:</strong> No more stress over unexpected interview questions. We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress.<br /><br /></li><li><strong>Money-Back Guarantee:</strong> Your satisfaction is our top priority. We are confident in the quality of our training and support, which is why we offer a <strong>100% money-back guarantee. </strong>If, for any reason, you're not happy with our services, we'll refund your investment, no questions asked. We believe in the value we provide and want you to feel completely satisfied with your decision to join us.<br /><br /></li><li><strong>Continuous Career Support: </strong>Our commitment doesn't end when you secure a job. We'll be there for you throughout your career journey, offering continued support and guidance.</li></ul><p><strong>Here are the courses we will provide once you enrol in the program:</strong></p><ul><li>Course 01: Business and Data Analytics for Beginners</li><li>Course 02: Quick Data Science Approach from Scratch</li><li>Course 03: Learn MySQL from Scratch for Data Science and Analytics</li><li>Course 04: SQL for Data Science, Data Analytics and Data Visualization</li><li>Course 05: Statistics &amp; Probability for Data Science &amp; Machine Learning</li><li>Course 06: R Programming for Data Science</li><li>Course 07: Python Data Science with Numpy, Pandas and Matplotlib</li><li>Course 08: Complete Python Machine Learning &amp; Data Science Fundamentals</li><li>Course 09: 2021 Data Science &amp; Machine Learning with R from A-Z</li><li>Course 10: Python Programming from Scratch with My SQL Database</li><li>Course 11: Level 2 Python Course</li><li>Course 12: Machine Learning for Predictive Maps in Python and Leaflet</li><li>Course 13: Python Programming Bible | Networking, GUI, Email, XML, CGI</li><li>Course 14: Python for Spatial Analysis in ArcGIS</li><li>Course 15: Ultimate Python Training for Beginners</li><li>Course 16: PyScript Fundamentals Training</li></ul><p><strong>How Can We Offer Job Guarantees?</strong></p><p>HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector.</p> <p><strong>The </strong><strong>Data Scientist with Python </strong><strong>Program is completed in 9 easy steps:<br /><br /></strong></p><p><strong>Step 1: Enrol in the Programme</strong></p><p>Begin your exciting journey with us by enrolling in the Data Science with Python Training program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied.</p><p>After you enrol in the Program, you will get lifetime access to 16 premium courses related to Data Science with Python. These courses will teach you the knowledge and skills required to become a successful Data Scientist. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing!</p><p><strong>Step 2: Initial One-On-One Counselling Session</strong></p><p>Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path.<br /><br /></p><p><strong>Step 3 - </strong><strong>Certification upon Course Completion</strong></p><p>After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject.<br /><br /></p><p><strong>Step 4: </strong><strong>CV Revamping</strong></p><p>Our team of professionals will build you a compelling CV and <strong>LinkedIn profile</strong>. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the Data Science with Python industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently. <br /><br /></p><p><strong>Step 5: Building Network and Submitting CV</strong></p><p>We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many<strong> high-profile individuals and companies</strong> through your LinkedIn profile.<br /><br /></p><p><strong>Step 6: Interview Preparation</strong></p><p>With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills.<br /><br /></p><p><strong>Step 7: Securing Job Interviews</strong></p><p>Leveraging our partnerships with leading companies, <strong>we'll secure job interviews for you</strong>. We'll ensure you get the opportunity to showcase your skills to potential employers and <strong>get the dream job you want</strong>.<br /><br /></p><p><strong>Step 8: Post-Interview Support</strong></p><p>Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job.<br /><br /></p><p><strong>Step 9: Celebrate Your New Job!</strong></p><p>Once you've secured your dream job in Data Science with Python, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role.</p><p>We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful career in Data Science with Python begins with us.</p> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        100 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div> <h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <ul><li>Beginners with an interest in Data Science and Python programming.</li><li>Programmers and Software Engineers looking to transition into Data Science.</li><li>Business Analysts and Project Managers aiming to leverage Data Science in their domains.</li><li>Researchers and Academics who wish to utilise Python for complex data analysis.</li></ul>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>No experience required. Just enrol &amp; start learning.</p>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Data Scientist: £60,000 - £90,000</li><li>Machine Learning Engineer: £65,000 - £100,000</li><li>Data Analyst: £40,000 - £60,000</li><li>Business Intelligence Analyst: £45,000 - £70,000</li><li>Data Engineer: £50,000 - £80,000</li><li>Big Data Architect: £70,000 - £120,000</li></ul>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Accredited e-Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>CPD Accredited Framed (Hardcopy) Certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
        <h4>Enrolment Letter</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>QLS Endorsed Hard Copy Certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
        <h4>Student ID Card</h4>
        <p>
            Digital certificate -
            Included
        </p>

                        </div>

Start your career in Data Science and earn up to £90,000 per month.
Are you eager to dive into the high-speed world of Data Science powered by Python? In the UK alone, Data Scientist job postings witnessed a dramatic increase of 67% in 2022, emphasising the burgeoning demand for proficient Python programmers. Amid such a dynamic job market, our online course - Data Science with Python, serves as your stepping-stone to a universe of opportunities. Whether you're taking your first step into the realm of Data Science or aiming to augment your existing skills, our program offers peerless support, ensuring you're industry-ready by the time you complete our course.
Our mission is simple - to be your trusted partner every step of the way, from training to employment.
In addition to teaching you the technical skills you need, we will also provide you with career mentoring and support. We will help you build your resume, prepare for interviews, and land your dream job. We also have partnerships with many companies that are hiring Data Scientists, so we can help you get your foot in the door.
If you are not happy with our service, we also offer a 100% money-back guarantee. So what are you waiting for? Enrol in our Data Scientist with Python Training Program today and start your journey to becoming a successful Data Scientist!
If you have any questions, you can contact us. We will be happy to provide you with all the information you need.
Why Choose Us?
So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Data Scientist with Python:
Personalised Guidance: We believe in the power of individual attention. Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some Python experience, we will guide you towards honing your skills and developing a strong foundation in both Data Science and Python.
One-On-One Consultation Sessions with Industry Experts: Gain invaluable insights and guidance from seasoned professionals who have thrived in the Data Science field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise.
Extensive Job Opportunities: We have established partnerships with numerous companies actively seeking Data Scientists. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere.
Interview Preparation: No more stress over unexpected interview questions. We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress.
Money-Back Guarantee: Your satisfaction is our top priority. We are confident in the quality of our training and support, which is why we offer a 100% money-back guarantee. If, for any reason, you're not happy with our services, we'll refund your investment, no questions asked. We believe in the value we provide and want you to feel completely satisfied with your decision to join us.
Continuous Career Support: Our commitment doesn't end when you secure a job. We'll be there for you throughout your career journey, offering continued support and guidance.
Here are the courses we will provide once you enrol in the program:
Course 01: Business and Data Analytics for Beginners
Course 02: Quick Data Science Approach from Scratch
Course 03: Learn MySQL from Scratch for Data Science and Analytics
Course 04: SQL for Data Science, Data Analytics and Data Visualization
Course 05: Statistics & Probability for Data Science & Machine Learning
Course 06: R Programming for Data Science
Course 07: Python Data Science with Numpy, Pandas and Matplotlib
Course 08: Complete Python Machine Learning & Data Science Fundamentals
Course 09: 2021 Data Science & Machine Learning with R from A-Z
Course 10: Python Programming from Scratch with My SQL Database
Course 11: Level 2 Python Course
Course 12: Machine Learning for Predictive Maps in Python and Leaflet
Course 13: Python Programming Bible | Networking, GUI, Email, XML, CGI
Course 14: Python for Spatial Analysis in ArcGIS
Course 15: Ultimate Python Training for Beginners
Course 16: PyScript Fundamentals Training
How Can We Offer Job Guarantees?
HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector.
The Data Scientist with Python Program is completed in 9 easy steps:


Step 1: Enrol in the Programme
Begin your exciting journey with us by enrolling in the Data Science with Python Training program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied.
After you enrol in the Program, you will get lifetime access to 16 premium courses related to Data Science with Python. These courses will teach you the knowledge and skills required to become a successful Data Scientist. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing!
Step 2: Initial One-On-One Counselling Session
Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path.


Step 3 - Certification upon Course Completion
After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject.


Step 4: CV Revamping
Our team of professionals will build you a compelling CV and LinkedIn profile. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the Data Science with Python industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently. 


Step 5: Building Network and Submitting CV
We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many high-profile individuals and companies through your LinkedIn profile.


Step 6: Interview Preparation
With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills.


Step 7: Securing Job Interviews
Leveraging our partnerships with leading companies, we'll secure job interviews for you. We'll ensure you get the opportunity to showcase your skills to potential employers and get the dream job you want.


Step 8: Post-Interview Support
Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job.


Step 9: Celebrate Your New Job!
Once you've secured your dream job in Data Science with Python, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role.
We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful career in Data Science with Python begins with us.
 CPD 
100 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
Beginners with an interest in Data Science and Python programming.
Programmers and Software Engineers looking to transition into Data Science.
Business Analysts and Project Managers aiming to leverage Data Science in their domains.
Researchers and Academics who wish to utilise Python for complex data analysis.
 Requirements 
No experience required. Just enrol & start learning.
 Career path 
Data Scientist: £60,000 - £90,000
Machine Learning Engineer: £65,000 - £100,000
Data Analyst: £40,000 - £60,000
Business Intelligence Analyst: £45,000 - £70,000
Data Engineer: £50,000 - £80,000
Big Data Architect: £70,000 - £120,000
 Certificates 
CPD Accredited e-Certificate
 Digital certificate - Included 
CPD Accredited Framed (Hardcopy) Certificate
 Hard copy certificate - Included 
Enrolment Letter
 Digital certificate - Included 
QLS Endorsed Hard Copy Certificate
 Hard copy certificate - Included 
Student ID Card
 Digital certificate - Included 

Big Data Analytics

Data Skills

Data Science with Python - IT Job Ready Program with Career Support & Money Back Guarantee

<strong>Learn Python Programming the Easy Way, Complete with Examples, Quizzes, Exercises and more. Learn Python 2 and Python 3.</strong>
        <p>This course will teach you Python in a practical manner, complete with examples, quizzes, exercises, and more. You will learn when to use Python 2 and Python 3; both versions are covered in the course and you will learn to program in both. You'll learn how to take tedious and repetitious tasks and turn them into programs that will save you time and simplify your life on Linux, UNIX, or MAC systems. You will learn how to prepare your computer for programming in Python; how to work with various data types including strings, lists, tuples, dictionaries, Booleans; how to perform mathematical operations using Python, and more.</p>
        <h2>What You Will Learn</h2><p>When to use Python 2 and when to use Python 3.<br>How to install Python on Windows, Mac, and Linux.<br>How to prepare your computer for programming in Python.<br>The various ways to run a Python program on Windows, Mac, and Linux.<br>Suggested text editors and Integrated Development Environments to use when coding in Python.<br>How to work with various data types including strings, lists, tuples, dictionaries, Booleans, and more.<br>What variables are and when to use them.<br>How to perform mathematical operations using Python.<br>How to capture input from a user.<br>Ways to control the flow of your programs.<br>The importance of white space in Python.<br>How to organize your Python programs: learn what goes where.<br>What modules are, when you should use them, and how to create your own.<br>How to define and use functions.<br>Important built-in Python functions that you ll use often.<br>How to read from and write to files.<br>The difference between binary and text files.<br>Various ways of getting help, including finding Python documentation.<br></p>
        <h2>Audience</h2><p>This course targets anyone interested in Python programming, Python scripting, or computer programming in general; those who want to become a highly paid Python developer; and those who want to open up doors in their IT career by learning one of the world's most popular and in-demand programming languages.</p>
        <h2>Approach</h2><p>A complete course packed with step-by-step instructions, practice exercises with solutions, and quizzes. This course is clearly divided into small parts to help you understand each part individually and learn at your own pace. Once you've completed this course you'll know how to write programs that will run on the Linux, Mac, and Windows operating systems. You can even take what you've learned and apply it to web applications. </p>
        <h2>Key Features</h2><p>How to install Python on Windows, Mac, and Linux. * A practical tutorial designed for Python beginners. * </p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/python-for-beginners-learn-python-programming-python-3-</p>
        <h2>About the Author</h2><h3>Jason Cannon</h3><p>Jason Cannon is a professional system administrator, consultant, and author. He started his career as a Unix and Linux System engineer in 1999. Since that time, he has utilized his Linux skills at companies such as Xerox, UPS, Hewlett-Packard, and Amazon.com. Additionally, he has acted as a technical consultant and independent contractor for small businesses and Fortune 500 companies.

Jason has professional experience with CentOS, RedHat Enterprise Linux, SUSE Linux Enterprise Server, and Ubuntu. He has used several Linux distributions on personal projects including Debian, Slackware, CrunchBang, and others. In addition to Linux, Jason has experience supporting proprietary Unix operating systems including AIX, HP-UX, and Solaris. He enjoys teaching others how to use and exploit the power of the Linux operating system.</p>
        <h2>Course Outline</h2><h4>1. Course Overview and Downloads</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Course Overview</p><p style='margin: 0'>Course Overview and Downloads: Course Overview</p></td></tr></tbody></table><br><h4>2. Python Setup</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Python 2 vs Python 3</p><p style='margin: 0'>Python Setup: Python 2 vs Python 3</p></td></tr><tr><td style='padding: 15px;'><p>2. Installing Python on Windows</p><p style='margin: 0'>Python Setup: Installing Python on Windows</p></td></tr><tr><td style='padding: 15px;'><p>3. Installing Python on Mac</p><p style='margin: 0'>Python Setup: Installing Python on Mac</p></td></tr><tr><td style='padding: 15px;'><p>4. Installing Python on Linux</p><p style='margin: 0'>Python Setup: Installing Python on Linux</p></td></tr><tr><td style='padding: 15px;'><p>5. Writing Python Programs</p><p style='margin: 0'>Python Setup: Writing Python Programs</p></td></tr><tr><td style='padding: 15px;'><p>6. Running Python Programs</p><p style='margin: 0'>Python Setup: Running Python Programs</p></td></tr></tbody></table><br><h4>3. Strings and Variables</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Strings and Variables: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Variables and Strings</p><p style='margin: 0'>Strings and Variables: Variables and Strings</p></td></tr><tr><td style='padding: 15px;'><p>3. Functions and Printing</p><p style='margin: 0'>Strings and Variables: Functions and Printing</p></td></tr><tr><td style='padding: 15px;'><p>4. String Methods</p><p style='margin: 0'>Strings and Variables: String Methods</p></td></tr><tr><td style='padding: 15px;'><p>5. String Concatenation</p><p style='margin: 0'>Strings and Variables: String Concatenation</p></td></tr><tr><td style='padding: 15px;'><p>6. Formatting Strings</p><p style='margin: 0'>Strings and Variables: Formatting Strings</p></td></tr><tr><td style='padding: 15px;'><p>7. Section Summary</p><p style='margin: 0'>Strings and Variables: Section Summary</p></td></tr><tr><td style='padding: 15px;'><p>8. Solutions to the Practice Exercises - #1 - Video</p><p style='margin: 0'>Strings and Variables: Solutions to the Practice Exercises - #1 - Video</p></td></tr><tr><td style='padding: 15px;'><p>9. Solutions to the Practice Exercises - #2 - Video</p><p style='margin: 0'>Strings and Variables: Solutions to the Practice Exercises - #2 - Video</p></td></tr><tr><td style='padding: 15px;'><p>10. Solutions to the Practice Exercises - #3 - Video</p><p style='margin: 0'>Strings and Variables: Solutions to the Practice Exercises - #3 - Video</p></td></tr></tbody></table><br><h4>4. Numbers and Math</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Numbers and Math: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Numbers, Numeric Operations, and Numeric Functions</p><p style='margin: 0'>Numbers and Math: Numbers, Numeric Operations, and Numeric Functions</p></td></tr><tr><td style='padding: 15px;'><p>3. Comments</p><p style='margin: 0'>Numbers and Math: Comments</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Summary</p><p style='margin: 0'>Numbers and Math: Section Summary</p></td></tr></tbody></table><br><h4>5. Booleans and Conditionals</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Booleans and Conditionals: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Booleans</p><p style='margin: 0'>Booleans and Conditionals: Booleans</p></td></tr><tr><td style='padding: 15px;'><p>3. Conditionals</p><p style='margin: 0'>Booleans and Conditionals: Conditionals</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Summary</p><p style='margin: 0'>Booleans and Conditionals: Section Summary</p></td></tr></tbody></table><br><h4>6. Functions</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Functions: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Functions, Part I</p><p style='margin: 0'>Functions: Functions, Part I</p></td></tr><tr><td style='padding: 15px;'><p>3. Functions, Part II</p><p style='margin: 0'>Functions: Functions, Part II</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Summary</p><p style='margin: 0'>Functions: Section Summary</p></td></tr></tbody></table><br><h4>7. Lists</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Lists: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Lists</p><p style='margin: 0'>Lists: Lists</p></td></tr><tr><td style='padding: 15px;'><p>3. Slices</p><p style='margin: 0'>Lists: Slices</p></td></tr><tr><td style='padding: 15px;'><p>4. Exception Handling</p><p style='margin: 0'>Lists: Exception Handling</p></td></tr><tr><td style='padding: 15px;'><p>5. Loops</p><p style='margin: 0'>Lists: Loops</p></td></tr><tr><td style='padding: 15px;'><p>6. Sorting and Ranges</p><p style='margin: 0'>Lists: Sorting and Ranges</p></td></tr><tr><td style='padding: 15px;'><p>7. Section Summary</p><p style='margin: 0'>Lists: Section Summary</p></td></tr></tbody></table><br><h4>8. Dictionaries</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Dictionaries: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Dictionaries - Part I</p><p style='margin: 0'>Dictionaries: Dictionaries - Part I</p></td></tr><tr><td style='padding: 15px;'><p>3. Dictionaries - Part II</p><p style='margin: 0'>Dictionaries: Dictionaries - Part II</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Summary</p><p style='margin: 0'>Dictionaries: Section Summary</p></td></tr></tbody></table><br><h4>9. Tuples</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Tuples: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Tuples</p><p style='margin: 0'>Tuples: Tuples</p></td></tr><tr><td style='padding: 15px;'><p>3. Section Summary</p><p style='margin: 0'>Tuples: Section Summary</p></td></tr></tbody></table><br><h4>10. Files</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Files: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Files, Part I</p><p style='margin: 0'>Files: Files, Part I</p></td></tr><tr><td style='padding: 15px;'><p>3. Files, Part II</p><p style='margin: 0'>Files: Files, Part II</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Summary</p><p style='margin: 0'>Files: Section Summary</p></td></tr></tbody></table><br><h4>11. Modules</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Modules: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Modules, Part I</p><p style='margin: 0'>Modules: Modules, Part I</p></td></tr><tr><td style='padding: 15px;'><p>3. Modules, Part II</p><p style='margin: 0'>Modules: Modules, Part II</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Overview</p><p style='margin: 0'>Modules: Section Overview</p></td></tr></tbody></table>

Programming

Learn Python Programming the Easy Way, Complete with Examples, Quizzes, Exercises and more. Learn Python 2 and Python 3.

Python for Beginners: Learn Python Programming (Python 3)

<strong>You will master the fundamentals and more advanced principles of Python programming in this beginner's tutorial. This Python course covers every Python fundamental, including installation and more complex material such as Python data science.</strong>
        <p>'Python is the future of artificial intelligence and machine learning.'-Adrian Rosebrock, author.

Python is the programming language most loved by developers, data scientists, software engineers, and even hackers.

This Python basic to advanced course covers the fundamental concepts of Python programming and ways to apply this to real-world applications. The course modules, lesson-end quizzes, and lesson-end projects collectively cover the training course topics such as data operations, strings, file I/O, exception handling, error handling, conditional statements, CGI programming, shell scripting, web scraping, and Django.

It also covers Logging Framework, Unittest Framework, Socket Programming, Tornado Framework, and Networking. You will also build a Python chat server.

By the end of this course, you will have the skills to create and send robust Python applications using off-the-rack libraries confidently.

The code bundle for this course is available at: https://github.com/PacktPublishing/Python-Programming</p>
        <h2>What You Will Learn</h2><p>Learn the basics of Python<br>Learn networking and database access using Python and CGI programming<br>Understand the Python debugger<br>Understand web scraping using Beautiful Soup<br>Learn about Python Unittest<br>Build a Python chat server</p>
        <h2>Audience</h2><p>This course is for new Python users looking to make the best of this powerful programming language-college freshers, software developers, programming enthusiasts, and technical leads. Python is widely used in artificial intelligence, so if you are planning to start your career in AI/machine learning then you need to have an understanding of Python as a prerequisite.</p>
        <h2>Approach</h2><p>This course comprises self-paced videos, demos, lesson-end quizzes, and a competitive course-end project. This will help you increase your in-depth understanding of Python's design, memory models, object-arranged highlights, and information, and be industry-prepared.</p>
        <h2>Key Features</h2><p>Go from a beginner level to a confident level of Python programming * Increase your in-depth understanding of Python's design, memory models, and more * Work on a competitive project at the end of the course</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/python-programming</p>
        <h2>About the Author</h2><h3>Learnkart Technology Private Limited</h3><p>Learnkart understands the importance of upskilling and its impact on you. They pride themselves in creating specialized e-learning courses that will not only prepare you for certification exams but also help you gain hands-on knowledge for real-world applications. Thousands of students have developed their skills with Learnkart through a variety of courses, such as PgMP, Risk Management Professional (RMP), speech recognition, Python, Amazon Web Services (AWS), and more. Learnkart regularly adds courses to its portfolio to lend more value to your learning experience.</p>
        <h2>Course Outline</h2><h4>1. Course Introduction</h4><p></p><br><h4>2. Python Basics</h4><p></p><br><h4>3. Data Operations</h4><p></p><br><h4>4. Conditional Statements and Functions</h4><p></p><br><h4>5. Error Handling and File Operations</h4><p></p><br><h4>6. Shell Scripting and Django</h4><p></p><br><h4>7. Course End Project</h4><p></p>

You will master the fundamentals and more advanced principles of Python programming in this beginner's tutorial. This Python course covers every Python fundamental, including installation and more complex material such as Python data science.

Python Programming

<p><strong>Start your career as a Data Scientist and earn upto £90,000/ Year</strong></p><p>Are you ready to unlock the power of Python and dive into the exciting world of data science? Look no further because we have the ultimate solution for you: Introducing our Data Science with Python Course with Career Support and Job Ready Program!</p><p><strong>Our mission is simple</strong> - to be your trusted partner every step of the way, from training to employment.</p><p>In addition to teaching you the technical skills you need, we will also provide you with <strong>career mentoring and support</strong>. We will help you build your resume, prepare for interviews, and land your <strong>dream job</strong>. We also have<strong> partnerships with many companies</strong> that are hiring <strong>Data Scientists</strong>, so we can help you get your foot in the door.</p><p>If you are not happy with our service, we also offer a <strong>100% money-back guarantee</strong>. So what are you waiting for? Enrol in our Data Scientist with Python Training Program today and start your journey to becoming a successful Data Scientist!</p><p>If you have any questions, you can <strong>contact us</strong>. We will be happy to provide you with all the information you need.</p><p><strong>Why Choose Us?</strong></p><p>So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Data Scientist with Python:</p><ul><li><strong>Personalised Guidance:</strong> We believe in the power of individual attention. Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some <strong>Data Scientist</strong> experience, we will guide you towards honing your skills and developing a strong foundation in <strong>Data Science</strong>.<br /><br /></li><li><strong>Tailored CV Building:</strong> Crafting an impressive CV is crucial in today's competitive job market. Our team of experts will work closely with you to create a professional CV that showcases your skills and highlights your potential as a Data Scientist. We'll ensure that your CV stands out among the rest, increasing your chances of landing that dream job.<br /><br /></li><li><strong>One-On-One Consultation Sessions with Industry Experts:</strong> Gain invaluable insights and guidance from seasoned professionals who have thrived in the <strong>Data Science</strong> field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise.<br /><br /></li><li><strong>Extensive Job Opportunities:</strong> We have established partnerships with numerous companies actively seeking Data Scientists. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere. <br /><br /></li><li><strong>Interview Preparation:</strong> No more stress over unexpected interview questions. We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress.<br /><br /></li><li><strong>Money-Back Guarantee:</strong> Your satisfaction is our top priority. We are confident in the quality of our training and support, which is why we offer a <strong>100% money-back guarantee. </strong>If, for any reason, you're not happy with our services, we'll refund your investment, no questions asked. <br /><br /></li><li><strong>Continuous Career Support: </strong>Our commitment doesn't end when you secure a job. We'll be there for you throughout your career journey, offering continued support and guidance. Whether you need advice on career advancement, assistance with new projects, or simply a friendly ear to share your achievements, we'll be your trusted partner for long-term success.</li></ul><p><strong>Here are the courses we will provide once you enrol in the program:</strong></p><ul><li>Course 01: Ultimate Python Training for Beginners</li><li>Course 02: Python Intermediate Training</li><li>Course 03: Python Advanced Training</li><li>Course 04: SQL for Data Science, Data Analytics and Data Visualization</li><li>Course 05: Basic Data Analysis</li><li>Course 06: Develop Big Data Pipelines with R &amp; Sparklyr &amp; Tableau</li><li>Course 07: Develop Big Data Pipelines with R, Sparklyr &amp; Power BI</li><li>Course 08: Customer Analytics Training</li><li>Course 09: Google Analytics for Everyone</li><li>Course 10: Google Data Studio: Data Analytics</li><li>Course 11: Big Data Analytics with PySpark Tableau Desktop and MongoDB</li><li>Course 12: Big Data Analytics with PySpark Power BI and MongoDB</li><li>Course 13: Excel Data Analysis</li><li>Course 14: Introduction to Data Analytics with Tableau</li><li>Course 15: Machine Learning with Python Course</li><li>Course 16: Python Programming Bible | Networking, GUI, Email, XML, CGI</li></ul><p><strong>How Can We Offer Job Guarantees?</strong></p><p>HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector.</p> <p><strong>The </strong><strong>Data Scientist with Python </strong><strong>Program is completed in 9 easy steps:</strong></p><p><strong>Step 1: Enrol in the Programme</strong></p><p>Begin your exciting journey with us by enrolling in the <strong>Data Scientist </strong>Training program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied.</p><p>After you enrol in the Program, you will get lifetime access to 16 premium courses related to <strong>Data Scientist</strong>. These courses will teach you the knowledge and skills required to become a successful Data Scientist. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing!</p><p><strong>Step 2: Initial One-On-One Counselling Session</strong></p><p>Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path.</p><p><strong>Step 3 - </strong><strong>Certification upon Course Completion</strong></p><p>After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject.</p><p><strong>Step 4: </strong><strong>CV Revamping</strong></p><p>Our team of professionals will build you a compelling CV and <strong>LinkedIn profile</strong>. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the <strong>Data Scientist</strong> industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently.</p><p><strong>Step 5: Building Network and Submitting CV</strong></p><p>We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many<strong> high-profile individuals and companies</strong> through your LinkedIn profile.</p><p><strong>Step 6: Interview Preparation</strong></p><p>With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills.</p><p><strong>Step 7: Securing Job Interviews</strong></p><p>Leveraging our partnerships with leading companies, <strong>we'll secure job interviews for you</strong>. We'll ensure you get the opportunity to showcase your skills to potential employers and <strong>get the dream job you want</strong>.</p><p><strong>Step 8: Post-Interview Support</strong></p><p>Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job.</p><p><strong>Step 9: Celebrate Your New Job!</strong></p><p>Once you've secured your dream job in Data Science, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role.</p><p>We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful career in <strong>Data Science</strong> begins with us.</p> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        100 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div> <h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <ul><li>Aspiring data scientists looking to enter the exciting field of data science.</li><li>Professionals from other disciplines who want to transition into the data science domain.</li><li>Software engineers or programmers interested in expanding their skill set to include data science.</li><li>Analysts or researchers who want to enhance their data analysis and modeling capabilities.</li><li>Students or graduates seeking to kick-start their careers in data science with a strong foundation.</li></ul>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>No experience required. Just enrol &amp; start learning.</p>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Data Analyst: £25,000 - £55,000 per year</li><li>Data Scientist: £40,000 - £85,000 per year</li><li>Machine Learning Engineer: £50,000 - £100,000 per year</li><li>Data Engineer: £45,000 - £80,000 per year</li><li>Business Intelligence Analyst: £35,000 - £65,000 per year</li><li>Data Science Manager: £70,000 - £120,000 per year.</li></ul>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Accredited e-Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>CPD Accredited Framed (Hardcopy) Certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
        <h4>Enrolment Letter</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>QLS Endorsed Hard Copy Certificate </h4>
        <p>
            Hard copy certificate -
            Included
        </p>
        <h4>Student ID Card</h4>
        <p>
            Digital certificate -
            Included
        </p>

                        </div>

Start your career as a Data Scientist and earn upto £90,000/ Year
Are you ready to unlock the power of Python and dive into the exciting world of data science? Look no further because we have the ultimate solution for you: Introducing our Data Science with Python Course with Career Support and Job Ready Program!
Our mission is simple - to be your trusted partner every step of the way, from training to employment.
In addition to teaching you the technical skills you need, we will also provide you with career mentoring and support. We will help you build your resume, prepare for interviews, and land your dream job. We also have partnerships with many companies that are hiring Data Scientists, so we can help you get your foot in the door.
If you are not happy with our service, we also offer a 100% money-back guarantee. So what are you waiting for? Enrol in our Data Scientist with Python Training Program today and start your journey to becoming a successful Data Scientist!
If you have any questions, you can contact us. We will be happy to provide you with all the information you need.
Why Choose Us?
So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Data Scientist with Python:
Personalised Guidance: We believe in the power of individual attention. Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some Data Scientist experience, we will guide you towards honing your skills and developing a strong foundation in Data Science.
Tailored CV Building: Crafting an impressive CV is crucial in today's competitive job market. Our team of experts will work closely with you to create a professional CV that showcases your skills and highlights your potential as a Data Scientist. We'll ensure that your CV stands out among the rest, increasing your chances of landing that dream job.
One-On-One Consultation Sessions with Industry Experts: Gain invaluable insights and guidance from seasoned professionals who have thrived in the Data Science field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise.
Extensive Job Opportunities: We have established partnerships with numerous companies actively seeking Data Scientists. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere.
Interview Preparation: No more stress over unexpected interview questions. We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress.
Money-Back Guarantee: Your satisfaction is our top priority. We are confident in the quality of our training and support, which is why we offer a 100% money-back guarantee. If, for any reason, you're not happy with our services, we'll refund your investment, no questions asked.
Continuous Career Support: Our commitment doesn't end when you secure a job. We'll be there for you throughout your career journey, offering continued support and guidance. Whether you need advice on career advancement, assistance with new projects, or simply a friendly ear to share your achievements, we'll be your trusted partner for long-term success.
Here are the courses we will provide once you enrol in the program:
Course 01: Ultimate Python Training for Beginners
Course 02: Python Intermediate Training
Course 03: Python Advanced Training
Course 04: SQL for Data Science, Data Analytics and Data Visualization
Course 05: Basic Data Analysis
Course 06: Develop Big Data Pipelines with R & Sparklyr & Tableau
Course 07: Develop Big Data Pipelines with R, Sparklyr & Power BI
Course 08: Customer Analytics Training
Course 09: Google Analytics for Everyone
Course 10: Google Data Studio: Data Analytics
Course 11: Big Data Analytics with PySpark Tableau Desktop and MongoDB
Course 12: Big Data Analytics with PySpark Power BI and MongoDB
Course 13: Excel Data Analysis
Course 14: Introduction to Data Analytics with Tableau
Course 15: Machine Learning with Python Course
Course 16: Python Programming Bible | Networking, GUI, Email, XML, CGI
How Can We Offer Job Guarantees?
HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector.
The Data Scientist with Python Program is completed in 9 easy steps:
Step 1: Enrol in the Programme
Begin your exciting journey with us by enrolling in the Data Scientist Training program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied.
After you enrol in the Program, you will get lifetime access to 16 premium courses related to Data Scientist. These courses will teach you the knowledge and skills required to become a successful Data Scientist. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing!
Step 2: Initial One-On-One Counselling Session
Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path.
Step 3 - Certification upon Course Completion
After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject.
Step 4: CV Revamping
Our team of professionals will build you a compelling CV and LinkedIn profile. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the Data Scientist industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently.
Step 5: Building Network and Submitting CV
We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many high-profile individuals and companies through your LinkedIn profile.
Step 6: Interview Preparation
With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills.
Step 7: Securing Job Interviews
Leveraging our partnerships with leading companies, we'll secure job interviews for you. We'll ensure you get the opportunity to showcase your skills to potential employers and get the dream job you want.
Step 8: Post-Interview Support
Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job.
Step 9: Celebrate Your New Job!
Once you've secured your dream job in Data Science, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role.
We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful career in Data Science begins with us.
 CPD 
100 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
Aspiring data scientists looking to enter the exciting field of data science.
Professionals from other disciplines who want to transition into the data science domain.
Software engineers or programmers interested in expanding their skill set to include data science.
Analysts or researchers who want to enhance their data analysis and modeling capabilities.
Students or graduates seeking to kick-start their careers in data science with a strong foundation.
 Requirements 
No experience required. Just enrol & start learning.
 Career path 
Data Analyst: £25,000 - £55,000 per year
Data Scientist: £40,000 - £85,000 per year
Machine Learning Engineer: £50,000 - £100,000 per year
Data Engineer: £45,000 - £80,000 per year
Business Intelligence Analyst: £35,000 - £65,000 per year
Data Science Manager: £70,000 - £120,000 per year.
 Certificates 
CPD Accredited e-Certificate
 Digital certificate - Included 
CPD Accredited Framed (Hardcopy) Certificate
 Hard copy certificate - Included 
Enrolment Letter
 Digital certificate - Included 
QLS Endorsed Hard Copy Certificate
 Hard copy certificate - Included 
Student ID Card
 Digital certificate - Included 

Data Analyst

Data Scientist with Python - IT Job Ready Program + Career Support & Money Back Guarantee

Master Python 3.10 from the experts with this course and demonstrate programming wizardry in Python. Go from a geek to a wizard in no time with this well-structured video course and write Python code like a pro. Learn about the often-forgotten basics and special features of programming and Python in general.

The Ultimate Guide to Python Programming with Python 3.10

<strong>This course offers you the exact skills and principles you need to deliver a project using Python along with the tools you can use to create solid Python code. Master the language constructs, tools, and terminology with this carefully designed course for beginners.</strong>
        <p>Python is one of the most popular computer programming languages and this hands-on course for beginners will make it easy for someone who wants to get started with learning Python.

This course takes you through the introduction to the course and the learning objectives. You will learn to get started with Replit and write your first Python program. You will learn to store, process, and compare information in Python as well as learn to tidy messy data. You will learn about variables, strings, dictionaries, indexing, and slicing in Python. Further, you will understand loops in Python along with break, continue, and else functions.

Moving ahead, you will understand error handling in Python, get to know the try-and-catch block, and learn to add resources to Replit. You will also understand function parameters and explore the difference between local and global variables, and positional and keyword parameters. You will learn to work with JSON and clean the data along with various numeric functions such as min, max, and sum.

By the end of the course, you will gain a solid foundation in Python programming and be able to write high-quality code in Python.

All resources and code files are placed here: https://github.com/PacktPublishing/Python-Bootcamp-in-a-day---Python-Programming-for-Beginners</p>
        <h2>What You Will Learn</h2><p>Master Python programming fundamentals<br>Learn how to install Python to get up and running in no time<br>Learn how to process data to create Olympics Medals Tables<br>Solve multiple specific problems for a customer in the real world<br>Learn all about objects and variables in Python<br>Understand functions and function parameters in Python</p>
        <h2>Audience</h2><p>Whether you are a software engineer, software developer, computer programmer, web developer, transitioning into a new role, or simply someone who wants to understand what makes Python tick, this is the place to start. If you are preparing for a Python certification or job role, this course is for you.</p>
        <h2>Approach</h2><p>This course is video based course with no supporting document necessary. It takes you through the fundamentals of Python and teaches you how to use it with a simple tool so you can master the fundamentals in a day.</p>
        <h2>Key Features</h2><p>Be fluent in writing Python code and working with all the fundamentals of the language such as a list, string, function, dictionary, array, set, and much more * Learn to use Python's data analysis capabilities to analyze data from a real-world data source * A complete overview of the basics with exercises to test your knowledge of storing, processing, and storing information</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Python-Bootcamp-in-a-day---Python-Programming-for-Beginners</p>
        <h2>About the Author</h2><h3>Paul Ashun</h3><p>Paul Ashun is the CEO, MD, and chief consultant at Pashun Consulting Ltd., specializing in Scrum coaching and leadership within major global organizations. They are the authors of over 10 books on Scrum such as The Power of Scrum in the Real World, Confessions of a Scrum Master as well as the upcoming Agile User Storybook.

He started as a software developer and over ten years later, he became an Agile portfolio manager. He is a certified Scrum Master and a PMO manager. He has led projects for the BBC, General Electric, Oracle, BSkyB, HiT Entertainment, and Razorfish. He has been coaching product owners and business analysts in international blue-chip companies, dating back to 1999, in Agile and Scrum practices such as writing user stories.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>This video is an introduction the course and what you can expect from the course.</p></td></tr><tr><td style='padding: 15px;'><p>2. Learning Objectives - Introduction</p><p style='margin: 0'>This video explains the learning objectives of the course.</p></td></tr><tr><td style='padding: 15px;'><p>3. What Is Python?</p><p style='margin: 0'>This video explains what Python is and the need for Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. The Example</p><p style='margin: 0'>This video explains an example of a software engineer working in a media company to support the development team.</p></td></tr></tbody></table><br><h4>2. Getting Set Up</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Getting Set Up</p><p style='margin: 0'>This video explains the learning objectives of this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. How to Get Started with Replit</p><p style='margin: 0'>This video explains how to get started with Replit.</p></td></tr><tr><td style='padding: 15px;'><p>3. Writing Your First Python Program-Hello World</p><p style='margin: 0'>This video explains writing your first Python program-Hello World.</p></td></tr></tbody></table><br><h4>3. Storing Information</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Storing Information</p><p style='margin: 0'>This video explains the learning objectives of this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Objects and Variables</p><p style='margin: 0'>This video explains objects and variables in Python using an example of Olympic results.</p></td></tr><tr><td style='padding: 15px;'><p>3. Variable Names</p><p style='margin: 0'>This video explains variable names in Python and the rules to use them.</p></td></tr><tr><td style='padding: 15px;'><p>4. Numbers</p><p style='margin: 0'>This video explains the different types of numbers in Python.</p></td></tr><tr><td style='padding: 15px;'><p>5. Strings</p><p style='margin: 0'>This video explains strings in Python.</p></td></tr><tr><td style='padding: 15px;'><p>6. Showing Output When Running Python</p><p style='margin: 0'>This video explains showing output when running Python.</p></td></tr></tbody></table><br><h4>4. Processing Information</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Processing Information</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Processing Information</p><p style='margin: 0'>This video explains processing information in Python.</p></td></tr><tr><td style='padding: 15px;'><p>3. Indexing</p><p style='margin: 0'>This video explains indexing in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Slices</p><p style='margin: 0'>This video explains slices in Python.</p></td></tr><tr><td style='padding: 15px;'><p>5. String Functions</p><p style='margin: 0'>This video explains string functions in Python.</p></td></tr><tr><td style='padding: 15px;'><p>6. The 'input' Function</p><p style='margin: 0'>This video explains the input function in Python.</p></td></tr><tr><td style='padding: 15px;'><p>7. More String Operations</p><p style='margin: 0'>This video explains more string operations in Python.</p></td></tr><tr><td style='padding: 15px;'><p>8. Converting Between Different Types</p><p style='margin: 0'>This video explains converting between different types.</p></td></tr></tbody></table><br><h4>5. Comparing Information</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Comparing Information</p><p style='margin: 0'>This video explains the learning objectives of this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Comparing Information</p><p style='margin: 0'>This video explains comparing information in Python.</p></td></tr></tbody></table><br><h4>6. Tidying Messy Data</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Tidying Messy Data</p><p style='margin: 0'>This video explains the learning objectives of this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Tidying Messy Data</p><p style='margin: 0'>This video explains how to tidy messy data.</p></td></tr></tbody></table><br><h4>7. Storing Multiple Things</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Storing Multiple Things</p><p style='margin: 0'>This video explains the learning objectives of this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Storing Multiple Things</p><p style='margin: 0'>This video explains how to store multiple things.</p></td></tr><tr><td style='padding: 15px;'><p>3. Introducing Python Lists</p><p style='margin: 0'>This video explains lists in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Adding Items to a List</p><p style='margin: 0'>This video explains how to add items to a list.</p></td></tr><tr><td style='padding: 15px;'><p>5. Indexing and Slicing Lists</p><p style='margin: 0'>This video explains indexing and slicing lists.</p></td></tr><tr><td style='padding: 15px;'><p>6. Deleting Items in a List</p><p style='margin: 0'>This video explains how to delete items in a list.</p></td></tr><tr><td style='padding: 15px;'><p>7. Tuples</p><p style='margin: 0'>This video explains tuples in Python.</p></td></tr><tr><td style='padding: 15px;'><p>8. Long Lines in Python</p><p style='margin: 0'>This video explains long lines in Python.</p></td></tr><tr><td style='padding: 15px;'><p>9. Dictionaries</p><p style='margin: 0'>This video explains dictionaries in Python.</p></td></tr><tr><td style='padding: 15px;'><p>10. List Functions - More Ways to Work with Lists</p><p style='margin: 0'>This video explains list functions.</p></td></tr><tr><td style='padding: 15px;'><p>11. Sets</p><p style='margin: 0'>This video explains sets in Python.</p></td></tr></tbody></table><br><h4>8. Processing Collections</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Processing Collections</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. A Simple 'for' Loop</p><p style='margin: 0'>This video explains a simple for loop.</p></td></tr><tr><td style='padding: 15px;'><p>3. More Complex 'for' loops - 'break', 'continue', and 'else'</p><p style='margin: 0'>This video explains more complex 'for' loops.</p></td></tr><tr><td style='padding: 15px;'><p>4. The 'range' Function - How to Create a List of Numbers</p><p style='margin: 0'>This video explains how to create a list of numbers.</p></td></tr><tr><td style='padding: 15px;'><p>5. The 'while' Loop - Do Something for a While</p><p style='margin: 0'>This video explains the while loop.</p></td></tr></tbody></table><br><h4>9. Robust Programs - Handling Errors</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Robust Programs - Handling Errors</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Robust Programs - Handling Errors</p><p style='margin: 0'>This video explains error handling in Python.</p></td></tr><tr><td style='padding: 15px;'><p>3. Look Before You Leap</p><p style='margin: 0'>This video explains one way of making the code more robust, which is called 'look before you leap'.</p></td></tr><tr><td style='padding: 15px;'><p>4. The Try and Except Block</p><p style='margin: 0'>This video explains the try and except block in Python.</p></td></tr><tr><td style='padding: 15px;'><p>5. The Catch-All Block</p><p style='margin: 0'>This video explains the catch-all block.</p></td></tr><tr><td style='padding: 15px;'><p>6. Adding Resources to Replit</p><p style='margin: 0'>This video explains how to add resources to Replit.</p></td></tr><tr><td style='padding: 15px;'><p>7. The Finally Block</p><p style='margin: 0'>This video explains the finally block.</p></td></tr></tbody></table><br><h4>10. Saving the Results - Working with Files</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Saving the Results - Working with Files</p><p style='margin: 0'>This video explains the learning objectives of the course.</p></td></tr><tr><td style='padding: 15px;'><p>2. Adding Bad Data</p><p style='margin: 0'>This video explains adding bad data.</p></td></tr><tr><td style='padding: 15px;'><p>3. Saving the Results - Working with Files</p><p style='margin: 0'>This video explains saving the results and working with files.</p></td></tr><tr><td style='padding: 15px;'><p>4. Binary File Modes</p><p style='margin: 0'>This video explains binary file modes.</p></td></tr><tr><td style='padding: 15px;'><p>5. Text File Modes</p><p style='margin: 0'>This video explains text file modes.</p></td></tr><tr><td style='padding: 15px;'><p>6. The With Statement</p><p style='margin: 0'>This video explains the with statement.</p></td></tr></tbody></table><br><h4>11. Breaking Up Larger Programs, Part 1</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Breaking Up Larger Programs, Part 1</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. About Replit.config</p><p style='margin: 0'>This video explains replit.config.</p></td></tr><tr><td style='padding: 15px;'><p>3. Functions</p><p style='margin: 0'>This video explains functions in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Function Parameters</p><p style='margin: 0'>This video explains function parameters.</p></td></tr><tr><td style='padding: 15px;'><p>5. Local Versus Global Variables</p><p style='margin: 0'>This video explains local versus global variables.</p></td></tr><tr><td style='padding: 15px;'><p>6. Positional and Keyword Parameters</p><p style='margin: 0'>This video explains positional and keyword parameters.</p></td></tr><tr><td style='padding: 15px;'><p>7. Return Statement</p><p style='margin: 0'>This video explains the return statement.</p></td></tr><tr><td style='padding: 15px;'><p>8. Working With JSON</p><p style='margin: 0'>This video explains working with JSON.</p></td></tr><tr><td style='padding: 15px;'><p>9. Code Comments and Clear Code</p><p style='margin: 0'>This video explains code comments in Python.</p></td></tr></tbody></table><br><h4>12. Summarising and Presenting the Results</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Summarising and Presenting the Results</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Summarising and Presenting the Results Part 1</p><p style='margin: 0'>This video explains how to summarise the results using statistics.</p></td></tr><tr><td style='padding: 15px;'><p>3. Cleaning the Data</p><p style='margin: 0'>This video explains cleaning the data in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Summarising and Presenting the Results Part 2</p><p style='margin: 0'>This video explains the code in which we will get a sum of the scores of a country.</p></td></tr><tr><td style='padding: 15px;'><p>5. More Numeric Functions - Min, Max, Sum</p><p style='margin: 0'>This video explains min, max, and sum functions in Python.</p></td></tr><tr><td style='padding: 15px;'><p>6. Formatted Strings, f-strings</p><p style='margin: 0'>This video explains formatted strings and f-strings in Python.</p></td></tr></tbody></table><br><h4>13. Breaking Up Larger Programs, Part 2</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Breaking Up Larger Programs, Part 2</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Splitting Code into Modules</p><p style='margin: 0'>This video explains splitting code into modules.</p></td></tr><tr><td style='padding: 15px;'><p>3. Namespaces</p><p style='margin: 0'>This video explains namespaces in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Using Our Modules</p><p style='margin: 0'>This video explains how to use modules in Python.</p></td></tr></tbody></table><br><h4>14. Getting Set Up on a PC or MAC</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Getting Set Up on a PC or MAC</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Getting Set Up</p><p style='margin: 0'>This video explains how to set up Python on our systems.</p></td></tr><tr><td style='padding: 15px;'><p>3. Starting Python on Windows 10</p><p style='margin: 0'>This video explains how to start Python on Windows 10.</p></td></tr><tr><td style='padding: 15px;'><p>4. Starting a Terminal or Command Prompt on Windows</p><p style='margin: 0'>This video explains how to start a terminal or command prompt on Windows.</p></td></tr><tr><td style='padding: 15px;'><p>5. Installing Python on Windows</p><p style='margin: 0'>This video explains the installation of Python on Windows.</p></td></tr><tr><td style='padding: 15px;'><p>6. Installing Python on MacOS</p><p style='margin: 0'>This video explains the installation on Python on MacOS.</p></td></tr><tr><td style='padding: 15px;'><p>7. Quick Python Test - Running Python</p><p style='margin: 0'>This video explains how to run a Python script.</p></td></tr><tr><td style='padding: 15px;'><p>8. Python Scripts and IDLE</p><p style='margin: 0'>This video explains Python scripts and IDE.</p></td></tr><tr><td style='padding: 15px;'><p>9. Code Editors and IDEs</p><p style='margin: 0'>This video explains code editors and IDEs.</p></td></tr><tr><td style='padding: 15px;'><p>10. Running Python Scripts</p><p style='margin: 0'>This video explains how to run Python scripts.</p></td></tr></tbody></table>

This course offers you the exact skills and principles you need to deliver a project using Python along with the tools you can use to create solid Python code. Master the language constructs, tools, and terminology with this carefully designed course for beginners.

Python Bootcamp in a Day - Python Programming for Beginners.

Network

Networking

Cisco

This course is an excellent resource to learn network programming using Python. With the help of practical examples, you will learn how to automate networks with Telnet, Secure Shell (SSH), Paramiko, Netmiko, and Network Automation and Programmability Abstraction Layer with Multivendor support (NAPALM).

Python Network Programming for Network Engineers (Python 3)

<p><strong>Introducing Coding using Python</strong></p>
<p>This course introduces your child to a very advanced, yet easy to learn programming languages &ndash; Python. It&rsquo;s safe to say that many apps we use today have been built using Python &ndash; Instagram Web, Netflix, YouTube, to name a few! This course teaches the fundamentals of coding, and creates a solid foundation to solve more complex real-life problems.</p>

Riva Learning

Programming Languages

Computing

Choose this course if your child is new to Python or has done a few hours of Python before. Or, they have a good understanding of block-based platforms like Scratch, and would like to start exploring text-based programming languages.

Introducing coding using Python

General admission

<strong>Get to grip with the foundations of Python Programming language</strong>
        <p>The Python Code Camp will help you learn Python programming and the concepts associated with it. If you are a beginner, this is the best way to start your coding journey.
Starting with an introduction to the Python language and its importance, this course will take you through the concept of inputs and decisions, and enable you to explore topics like functions, dictionaries, lists, and tuples in detail. You'll then advance to learning about the various classes and objects along with the different file input and output modes. Every topic concludes with a campfire activity that includes exercises and practical examples to help you understand the concepts better.
By the end of the course, you will have developed a solid foundation for getting started with Python programming.

All the codes and supporting files for this course will be available at- https://github.com/PacktPublishing/Python-Code-Camp</p>
        <h2>What You Will Learn</h2><p>Get well-versed with the basics of Python Programming<br>Find out how you can simplify coding using functions in Python<br>Understand the implementation of classes and objects<br>Discover the different file input and output modes<br>Explore the different lists and tuples with the help of coding examples</p>
        <h2>Audience</h2><p>This course is for anyone who wants to learn the fundamentals of the Python programming language. Any beginner-level student will find this course useful.</p>
        <h2>Approach</h2><p>This hands-on course will help you with the concepts of Python programming using engaging exercises and coding examples.</p>
        <h2>Key Features</h2><p>Develop fundamental Python programming skills * Explore the different classes and objects in Python and learn to implement them * Understand how different functions work in Python</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/python-code-camp</p>
        <h2>About the Author</h2><h3>Mark Lassoff</h3><p>Framework Tech, founded by the visionary Mark Lassoff, specializes in teaching digitally accessible technical skills to people just getting started in their technical careers, including web development, digital design, and other career paths enabled by technology. Framework Tech has bridged the gap between entertainment and education, creating a unique, immersive learning experience that resonates with students.

Their instructors are more than just tech-savvy professionals; they are educators first and foremost, handpicked for their unique ability to translate complex technological concepts into digestible, engaging lessons. Framework Tech continues to evolve, constantly innovating to stay at the forefront of the online learning landscape.</p>
        <h2>Course Outline</h2><h4>1. Code Camp Day 001: Getting Started with Python</h4><p></p><br><h4>2.  Input and Decisions</h4><p></p><br><h4>3.  Lists and Tuples</h4><p></p><br><h4>4. Dictionaries</h4><p></p><br><h4>5. Functions</h4><p></p><br><h4>6. Classes and Objects</h4><p></p><br><h4>7. More Class and Objects</h4><p></p><br><h4>8. File Input and Output</h4><p></p>

Get to grip with the foundations of Python Programming language

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