Name: Software Engineering, Python, C++ , Javascript, CSS, HTML Coding
Price: 109 GBP
Availability: InStock

<p><strong>***24 Hour Limited Time Flash Sale***<br /><br /></strong><strong> The Complete Cyber Security Course: Securing Network 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>Do you know that in the UK, one in three businesses experience a cyber attack each year? There were over <strong>390,000 </strong>cyber security breaches reported in 2022 in UK. Are you concerned about protecting yourself and your data online? If so, this comprehensive The Complete Cyber Security Course: Securing Network Bundle is designed for you.</p><p>Designed to cater to the needs of both seasoned professionals and aspiring newcomers, our Complete Cyber Security Course: Securing Network! 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 The Complete Cyber Security Course: Securing Network 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 Career Bundle:</strong></p><ul><li><strong>Course 01:</strong> Cyber Security</li><li><strong>Course 02: </strong>Cyber Security Incident Handling and Incident Response</li><li><strong>Course 03: </strong>Digital Forensics for Cyber Professionals</li><li><strong>Course 04: </strong>Computer Networks Security</li><li><strong>Course 05: </strong>Linux Shell Scripting</li><li><strong>Course 06: </strong>Quick Data Science Approach from Scratch</li><li><strong>Course 07: </strong>Coding with Scratch</li><li><strong>Course 08: </strong>Build WebXR, VR, and AR, experiences using Three.JS</li><li><strong>Course 09: </strong>C# Programming - Beginner to Advanced</li><li><strong>Course 10: </strong>Master JavaScript with Data Visualization</li><li><strong>Course 11: </strong>Recovering from a Job Loss in Technology</li><li><strong>Course 12: </strong>Basic Google Data Studio</li><li><strong>Course 13: </strong>AutoCAD Programming using C# with Windows Forms</li><li><strong>Course 14: </strong>CSS Coding</li><li><strong>Course 15: </strong>Complete AutoLISP Programming</li><li><strong>Course 16: </strong>IT Support Technician</li><li><strong>Course 17: </strong>SQL Programming Masterclass</li><li><strong>Course 18: </strong>jQuery: JavaScript and AJAX Coding Bible</li><li><strong>Course 19: </strong>Secure Programming of Web Applications</li><li><strong>Course 20: </strong>CompTIA Healthcare IT Technician</li><li><strong>Course 21: </strong>Sensors</li><li><strong>Course 22: </strong>Functional Skills IT</li><li><strong>Course 23: </strong>Python Programming for Everybody</li><li><strong>Course 24: </strong>Data Analytics with Tableau</li><li><strong>Course 25: </strong>AutoCAD Programming using VB.NET with Windows Forms</li><li><strong>Course 26: </strong>Bash Scripting, Linux, and Shell Programming</li><li><strong>Course 27: </strong>Diploma in Computer Programming</li><li><strong>Course 28: </strong>Remote Sensing in ArcGIS</li><li><strong>Course 29: </strong>Kotlin Programming: Android Coding</li><li><strong>Course 30: </strong>Javascript Programming for Beginners</li></ul><p>With The Complete Cyber Security Course: Securing Network, 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.</p><p><strong>Learning Outcomes of this Course</strong></p><ul><li>Identify and assess cyber threats and vulnerabilities.</li><li>Implement effective security controls and incident response plans.</li><li>Conduct digital forensic investigations and collect evidence.</li><li>Secure computer networks and systems.</li><li>Utilise Linux Shell Scripting and Data Science for security analysis.</li><li>Visualise and analyse data to identify security risks.</li></ul><p>Don't let this opportunity pass you by. Enrol in The Complete Cyber Security Course: Securing Network today and take the first step towards achieving your goals and dreams.</p><p><strong>Why buy this The Complete Cyber Security Course: Securing Network?</strong></p><ul><li>Get a Free CPD Accredited Certificate upon completion of the course</li><li>Get a free student ID card with this training program</li><li>The course is affordable and simple to understand</li><li>This course is entirely online, interactive lesson with voiceover audio</li><li>Lifetime access to the course materials</li><li>The training program comes with 24/7 tutor support</li></ul> <p><strong>Start your learning journey straightaway with our Complete Cyber Security Course: Securing Network! Training!</strong></p><p>The Complete Cyber Security Course: Securing Network 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 The Complete Cyber Security Course: Securing Network 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 Complete Cyber Security Course: Securing Network course. After passing The Complete Cyber Security Course: Securing Network 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
                                        </div>
                                </div>
                            </div>
                        </div> <h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>This is The Complete Cyber Security Course: Securing Network the course is ideal for:</p><ul><li>Students seeking mastery in The Complete Cyber Security Course: Securing Network</li><li>Professionals seeking to enhance The Complete Cyber Security Course: Securing Network skills</li><li>Individuals looking for a Complete Cyber Security Course: Securing Network!-related career.</li><li>Anyone passionate about The Complete Cyber Security Course: Securing Network</li></ul>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>This The Complete Cyber Security Course: Securing Network doesn't require prior experience and is suitable for diverse learners.</p>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>This is The Complete Cyber Security Course: Securing Network bundle will allow you to kickstart or take your career in the related sector to the next stage.</p><ul><li>Cyber Security Analyst</li><li>Network Security Engineer</li><li>Penetration Tester</li><li>Digital Forensics Investigator</li><li>Data Scientist</li></ul>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Accredited Digital certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>CPD Accredited Hard copy certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <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>

                        </div>

Academy for Health and Fitness

Online Course Marketing

Certified in Cybersecurity (CC)

Certificate in Information Security Management Principles (CISMP)

Network & Security

Cyber Security

Cyber Security Foundation

The Complete Cyber Security Course: Securing Network - CPD Certified

General Admission

<p>This Data Science bundle training will help you become an expert in a relevant sector. Our world-class course creators will help you with every query throughout your learning journey and assist you in mastering<strong> Data Science with Python</strong>. So, add this course to your basket   harness the coveted wisdom and open the door to your next breakthrough!</p><p>Whether you're an aspirant looking to start your dream career, a professional looking to branch out, or somebody in between   this <strong>Data Science with Python</strong>, <strong>QLS Endorsed</strong> Course will get you sorted. The fundamental understanding in this course will add tremendous value and enable you to establish the meaningful career you've always craved.</p><p>ENROL NOW in our <strong>'Data Science with Python' </strong>today and Start Learning.</p><p><strong>QLS Endorsed Course:</strong></p><ul><li>Course 01: Python Data Science at QLS Level 1</li></ul><p><strong>â </strong><strong>FREE 10 CPD Courses </strong><strong>â</strong></p><ul><li>Course 01: Python Programming: Beginner To Expert</li><li>Course 02: Higher Order Functions in Python</li><li>Course 03: Python for Spatial Analysis in ArcGIS</li><li>Course 04: Easy to Advanced Data Structures</li><li>Course 05: Google Data Studio</li><li>Course 06: Diploma in Data Analytics with Tableau</li><li>Course 07: Business Intelligence and Data Mining</li><li>Course 08: Mastering SQL Programming</li><li>Course 09: Creativity and Problem-Solving Skills</li><li>Course 10: Time Management</li></ul><p><strong>Why Choose Imperial Academy?</strong></p><ul><li>Fully Online Training</li><li>Free QLS Endorsed &amp; CPD Accredited Certificate</li><li>No Time Limits. Study at Your Own Pace</li><li>Expert Instructors</li><li>Audio Visual Training</li><li>Up-to-date Curriculum and Valuable Guidelines</li></ul><p>Launch the dynamic career you've always wanted! Take this high-quality <strong>Data Science with Python </strong>Bundle training to articulate your innovative goals and develop a simple approach to attaining them.</p><p><strong>Course Curriculum:</strong></p><p><strong>Python Data Science at QLS Level 1</strong></p><ul><li>Module 01: Introduction To Python Data Science</li><li>Module 02: Environment Setup</li><li>Module 03: Numpy Package For Calculations</li><li>Module 04: Panda Package For Data Cleaning</li><li>Module 05: Matplotlib Data Visualization Part 1</li><li>Module 06: Matplotlib Data Visualization Part 2</li></ul><p><strong>------ 10 More FREE CPD Courses ------</strong></p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        150 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 Science with Python </strong>course will be a great source of knowledge to improve your existing aptitudes and take them to the next level.</p><p><strong>Disclaimer</strong></p><p>This <strong>Data Science with Python </strong>course has been endorsed by the <strong>Quality Licence Scheme</strong> for its high-quality, non-regulated provision and training programmes. This <strong>Data Science with Python</strong> course is not regulated by Ofqual and is not an accredited qualification. One Education will be able to advise you on any further recognition. For details, please visit the Learner FAQs on the Quality Licence Scheme website.</p><p>Imperial Academy is an approved reselling partner for <strong>Quality Licence Scheme</strong> courses under One Education.</p>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>Anyone can enrol in this <strong>Data Science with Python</strong> bundle course.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Data Scientist: £30,000 - £90,000 per year</li><li>Data Analyst: £20,000 - £50,000 per year</li><li>Business Analyst: £25,000 - £70,000 per year</li><li>Data Engineer: £35,000 - £85,000 per year</li><li>Machine Learning Engineer: £40,000 - £100,000 per year</li><li>Business Intelligence Analyst: £30,000 - £70,000 per year</li><li>Chief Data Officer: £80,000 - £200,000 per year</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
            <div><p><strong>CPD Accredited Certificate</strong></p><ul><li>PDF Certificate completely free of charge</li><li>Hard Copy for £9.99 each</li><li>International students must pay a £10 shipping cost</li></ul></div>
        <h4>Hard Copy QLS Certificate</h4>
        <p>
            Hard copy certificate -
            £109
        </p>
            <div><p><strong>Quality Licence Scheme (QLS) Endorsed Certificate</strong></p><ul><li>Level 1 - £109</li><li>International students must pay a £10 shipping cost</li></ul></div>

                        </div>

Imperial Academy

QLS Level 1 Course | 10 FREE CPD Courses & PDF Certificates | CPD Accredited | Installment Payment | Tutor Support

Data Science with Python - QLS Endorsed

School of Business and Technology London

QUALIFI Level 3 Diploma in Data Science

<strong>Step into the world of data analysis and gain practical experience analyzing real-world datasets with the help of this course. This course will not only guide you in analyzing data efficiently in Python from scratch but also help you in conducting your own analysis with Python and extracting valuable insights that can transform your business!</strong>
        <p>Data analysis is a critical skill and is getting more popular. Nowadays, every organization has some data. Data could be extremely useful, but not without appropriate analysis. Data analysis enables us to transform data into insights for businesses to make informative decisions.

You can find data analysis being used in every industry, be it healthcare, finance, or technology. Python is one of the most in-demand skills for data science by employers. It is not only easy to learn but also powerful.

The course follows the approach of rather than dumping all the available Python libraries or functions to you, we picked only the most useful ones based on our industry experience to cover in the course. This allows you to focus and master the foundations. Besides Python programming, you will also get exposed to the basic statistical knowledge necessary for data analysis. Combined with detailed video lectures, you will be given a few projects to work on to reinforce your knowledge.

By the end of the course, you will have a solid foundation of data analysis, and be able to use Python for the complete process.

All resources and code files are placed here: https://github.com/PacktPublishing/Python-for-Data-Analysis-step-by-step-with-projects-</p>
        <h2>What You Will Learn</h2><p>Learn to use Python for data analysis<br>Explore Python data analysis libraries (Pandas, Scikit-learn, Seaborn)<br>Learn about time data series in Python<br>Create data visualizations in Python<br>Learn to calculate summary statistics<br>Learn how to clean, manipulate, and transform data</p>
        <h2>Audience</h2><p>This course is helpful for anyone interested in analyzing data effectively. You want to become a data analyst or a data scientist, or you just want the skills to work on your projects.<br><br>This course is beginner friendly. However, we recommend you have some basic knowledge of Python or at least another programming language.</p>
        <h2>Approach</h2><p>This course offers 10 hours of HD video lectures, detailed code notebooks, and 3 guided practice projects, based on multiple real-world datasets.</p>
        <h2>Key Features</h2><p>Experience analyzing real-world datasets in lectures and guided projects * The course is arranged in different sections based on the step-by-step process of REAL data analysis * Get exposed to basic statistical knowledge necessary for data analysis</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Python-for-Data-Analysis-step-by-step-with-projects-</p>
        <h2>About the Author</h2><h3>Just Into Data</h3><p>Just Into Data is the brainchild of Justin and Lianne. Justin is an experienced data scientist in many different fields, such as marketing, anti-money laundering, and big data technologies. He also has a bachelor's degree in computer engineering and a master's degree in statistics.

Lianne is an experienced statistician who has worked in the central bank as well as commercial banks, where she monitored major financial institutions and conducted fraud analysis. She has both a bachelor's and a master's degree in statistics.</p>
        <h2>Course Outline</h2><h4>1. Let's get started!</h4><p></p><br><h4>2. Python crash course (optional)</h4><p></p><br><h4>3. Importing data</h4><p></p><br><h4>4. Exploring data (manipulation)</h4><p></p><br><h4>5. Capstone practice project I</h4><p></p><br><h4>6. Cleaning data</h4><p></p><br><h4>7. Transforming columns/features</h4><p></p><br><h4>8. Capstone practice project II</h4><p></p><br><h4>9. Exploring data (Exploratory Data Analysis)</h4><p></p><br><h4>10. Capstone practice project III</h4><p></p><br><h4>11. Bonus section: congrats and thank you!</h4><p></p>

Packt

Data Visualization

Python

Pandas

Step into the world of data analysis and gain practical experience analyzing real-world datasets with the help of this course. This course will not only guide you in analyzing data efficiently in Python from scratch but also help you in conducting your own analysis with Python and extracting valuable insights that can transform your business!

Python for Data Analysis: Step-By-Step with Projects

<div id="course-pills-1">Duration<p>3 Days</p><p>18 CPD hours</p>This course is intended for<p>This course is aimed at anyone who wants to harness the power of data analytics in their organization including:<br />Business Analysts, Data Analysts, Reporting and BI professionals<br />Analytics professionals and Data Scientists who would like to learn Python</p>Overview<p>This course teaches delegates with no prior programming or data analytics experience how to perform data manipulation, data analysis and data visualization in Python. Mastery of these techniques and how to apply them to business problems will allow delegates to immediately add value in their workplace by extracting valuable insight from company data to allow better, data-driven decisions.<br />Outcome: After attending this course, delegates will: <br />Be able to write effective Python code <br />Know how to access their data from a variety of sources using Python<br />Know how to identify and fix data quality using Python<br />Know how to manipulate data to create analysis ready data<br />Know how to analyze and visualize data to drive data driven decisioning across your organization</p><p>Becoming a world class data analytics practitioner requires mastery of the most sophisticated data analytics tools. These programming languages are some of the most powerful and flexible tools in the data analytics toolkit.</p></div><div id="course-pills-2"><h4>From business questions to data analytics, and beyond</h4><ul><li>For data analytics tasks to affect business decisions they must be driven by a business question.  This section will formally outline how to move an analytics project through key phases of development from business question to business solution.  Delegates will be able:</li><li>to describe and understand the general analytics process. </li><li>to describe and understand the different types of analytics can be used to derive data driven solutions to business </li><li>to apply that knowledge to their business context</li></ul><h4>Basic Python Programming Conventions</h4><ul><li>This section will cover the basics of writing R programs. Topics covered will include:</li><li>What is Python?</li><li>Using Anaconda</li><li>Writing Python programs</li><li>Expressions and objects</li><li>Functions and arguments</li><li>Basic Python programming conventions</li></ul><h4>Data Structures in Python</h4><ul><li>This section will look at the basic data structures that Python uses and accessing data in Python. Topics covered will include:</li><li>Vectors</li><li>Arrays and matrices </li><li>Factors</li><li>Lists</li><li>Data frames</li><li>Loading .csv files into Python</li></ul><h4>Connecting to External Data</h4><ul><li>This section will look at loading data from other sources into Python. Topics covered will include:</li><li>Loading .csv files into a pandas data frame</li><li>Connecting to and loading data from a database into a panda data frame</li></ul><h4>Data Manipulation in Python</h4><ul><li>This section will look at how Python can be used to perform data manipulation operations to prepare datasets for analytics projects. Topics covered will include:</li><li>Filtering data</li><li>Deriving new fields</li><li>Aggregating data</li><li>Joining data sources</li><li>Connecting to external data sources</li></ul><h4>Descriptive Analytics and Basic Reporting in Python</h4><ul><li>This section will explain how Python can be used to perform basic descriptive. Topics covered will include:</li><li>Summary statistics</li><li>Grouped summary statistics</li><li>Using descriptive analytics to assess data quality</li><li>Using descriptive analytics to created business report</li><li>Using descriptive analytics to conduct exploratory analysis</li></ul><h4>Statistical Analysis in Python</h4><ul><li>This section will explain how Python can be used to created more interesting statistical analysis. Topics covered will include:</li><li>Significance tests</li><li>Correlation</li><li>Linear regressions</li><li>Using statistical output to create better business decisions.</li></ul><h4>Data Visualisation in Python</h4><ul><li>This section will explain how Python can be used to create effective charts and visualizations. Topics covered will include:</li><li>Creating different chart types such as bar charts, box plots, histograms and line plots</li><li>Formatting charts</li></ul><h4>Best Practices Hints and Tips</h4><ul><li>This section will go through some best practice considerations that should be adopted of you are applying Python in a business context.</li><li></li></ul></div>

Nexus Human

Business Analytics & Intelligence

Excel Analytics

Big Data Analytics

Data Science

Data Skills

Data Analyst

Python for Data Analytics

<p><strong>Software Engineering Exclusive Bundle</strong></p><p><strong>*</strong><strong>*19-in-1 Premium Software Engineering Training Bundle**</strong></p><p>Software development is one of the most in-demand occupations, and the UK is an excellent place to begin your career in this industry. To be honest, regardless of your background and experiences, a particular skill set is also essential. So here's how we can assist you.</p><p>We provide a full 19-in-1 Software Engineering bundle course to train you in a range of programming languages, software design, information systems, and databases.</p><p>In this software engineering course, you will learn the fundamentals of software engineering, such as how to analyse algorithms and use arrays and link lists as well. This course will cover several fundamental programming concepts before going on to more advanced topics. You will learn the core concepts of stacks and queues, storing algorithms, trees, heaps and many more.</p><p>This software engineering course is a great place to start if you're looking to start a new career in software engineering/ hone your existing software engineering skills and acquire relevant competencies. This software engineering program is for anyone interested in gaining in-demand skills to help launch a career as a software engineering personnel or improve their business aptitude. All through this self-paced software engineering training, you will engage yourself in the role of a software engineering personeel and acquire the necessary software engineering skills to work with a variety of concepts to gain a competitive advantage in the employment market.</p><p>Along with this Software Engineering course, you will get <strong>19 premium courses, an original </strong><strong>hardcopy</strong>, 19<strong> PDF certificates (Main Course + Additional Courses) </strong>Student ID card as gifts.</p><p><strong>Learning Outcomes of Software Engineering: Coding &amp; Web Development</strong></p><p>By the end of this course, participants will be able to:</p><ul><li>Get an overview of software engineering.</li><li>Learn to analyse algorithms.</li><li>Learn how to work with arrays and linked lists.</li><li>Improve your understanding of stacks and queues.</li><li>Gain a better knowledge of trees and heaps.</li><li>Recognise the importance of sorting algorithms.</li><li>Learn WSDL, Load, Security, REST and Functional Testing in SOAP UI</li><li>Be a competent programmer in python</li><li>Get a solid foundation in JavaScript</li><li>Learn Machine learning with Python</li><li>Code with HTML, CSS, &amp; Javascript</li></ul><p>Enrol now in Software Engineering to advance your career, and use the premium study materials from Apex Learning.</p><p><strong>Software Engineering: Coding &amp; Web Development</strong></p><p>The Software Engineering bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Software Engineering expertise and essential knowledge, which will assist you in reaching your goal. Moreover, you can learn Software Engineering from any place in your own time without travelling for classes.</p><p><strong>This Software Engineering Bundle Consists of the following Premium courses: </strong></p><ul><li> Course 01: Computer Science With Python</li><li> Course 02: Testing using SOAP UI</li><li> Course 03: Python Programming for Everybody</li><li> Course 04: JavaScript Foundations for Everyone</li><li> Course 05: Machine Learning with Python</li><li> Course 06: Coding with HTML, CSS, &amp; Javascript</li><li> Course 07: Django Rest Framework Level 4</li><li> Course 08: Data Structures Complete Course</li><li> Course 09: Cloud Computing / CompTIA Cloud+ (CV0-002)</li><li> Course 10: Learn Linux in 5 Days</li><li> Course 11: Level 2 Adobe Graphics Design Course</li><li> Course 12: Level 5 CAD Designer Training</li><li> Course 13: Computer Networks Security</li><li> Course 14: jQuery: JavaScript and AJAX Coding Bible</li><li> Course 15: GDPR Data Protection Level 5</li><li> Course 16: Secure Programming of Web Applications</li><li> Course 17: Cyber Security Incident Handling and Incident Response</li><li> Course 18: Computer Hacking Forensic Investigator</li><li> Course 19: Essential IT Skills Level 3</li></ul><p><strong>Certificate:</strong></p><ul><li><strong>PDF Certificate: Free (Previously it was £6*19 = £114)</strong></li><li><strong>Hard Copy Certificate: Free (For The Diploma in Computer Programming Course: Previously it was £10)</strong></li></ul><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        205 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><strong>Software Engineering: Coding &amp; Web Development</strong></p><p>Anyone from any background can enrol in this Software Engineering bundle.</p>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p><strong>Software Engineering: Coding &amp; Web Development</strong></p><p>This Software Engineering course has been designed to be fully compatible with tablets and smartphones.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p><strong>Software Engineering: Coding &amp; Web Development</strong></p><p>The opportunities in the world of software are limitless and rising all the time. The top career paths to pursue with the bundle of Software Engineering courses are given below,</p><ul><li>Software Engineer</li><li>Front-end Software Developer</li><li>Web Developer</li></ul><p>The average salary of these professions ranges from £30,000 to £90,000 per annum in the UK.</p>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>Certificate of completion</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div> <p>You will get the Hard Copy certificate for the title course <strong>Diploma in Computer Programming</strong> absolutely Free! Other Hard Copy certificates are available for £10 each. </p><p><strong>Please Note:</strong> The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.</p> </div>

                        </div>

Apex Learning

Software Engineering: Coding & Web Development - CPD Certified

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					<div><p>Ever dreamt of navigating the intricate pathways of the human brain's counterparts in the machine world? Welcome to the 'Deep Learning &amp; Neural Networks Python - Keras' course, an odyssey that paints a vivid picture of the intertwining webs of neural networks. Our meticulously crafted modules transport you from the foundational stones of Python basics straight into the high towers of Theano and TensorFlow library installations.</p><p>Transition smoothly from understanding the complex labyrinths of neural structures to implementing them with flair. Whether it's the Pima Indian Diabetes or the Iris Flower Multi-Class models, we'll unravel the steps, terminologies, and techniques with precision. Dive deeper into the shimmering waters of Convolutional Neural Networks, where you'll gain first-hand knowledge on data giants like the MNIST Handwritten Digit Recognition and the CIFAR-10 Object Recognition Datasets.</p><p>As the cherry on top, our Deep Learning &amp; Neural Networks Python course does not merely offer theoretical insights. Instead, we illuminate the path to applying these neural structures in tangible scenarios. From checkpointing neural network improvements to plotting model behavior history and understanding image augmentation, every corner you turn unveils another layer of deep learning wonder. Join us in this transformative journey and sculpt your future in the AI realm.</p></div>
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			<h2><b> Learning outcome</b></h2>		</div>
				</div>
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					<ul>
							<li>
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										<span>Differentiate between machine learning and deep learning in AI projects.</span>
									</li>
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										<span>Navigate through Python basics and library installations including Theano and TensorFlow.</span>
									</li>
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										<span>Develop and evaluate models including Pima Indian Diabetes, Iris Flower Multi-Class, and more.</span>
									</li>
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										<span>Gain proficiency in convolutional neural networks with insights on MNIST and CIFAR-10 Datasets.</span>
									</li>
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													</span>
										<span>Apply knowledge in practical scenarios by loading and predicting various models.</span>
									</li>
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													</span>
										<span>Understand the importance and application of dropout regularization and learning rate schedules.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Effectively use checkpointing to improve and save neural network models.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
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		</section>
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		</section>
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						<div>
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			<div>
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				<div>
			<h2> <b>Why should I take this course?</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Comprehensive coverage of deep learning and neural networks.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Step-by-step guide on developing and evaluating various models.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Access to real datasets like MNIST and CIFAR-10.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Insights on advanced concepts like dropout regularization and learning rate schedules.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Learn how to use checkpointing to improve neural network models.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
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			<h2> <b>Career Path</b></h2>		</div>
				</div>
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					<ul>
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											<span>
													</span>
										<span>Data Scientist.</span>
									</li>
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													</span>
										<span>Machine Learning Engineer.</span>
									</li>
								<li>
											<span>
													</span>
										<span>AI Research Scientist.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Neural Network Developer.</span>
									</li>
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													</span>
										<span>Deep Learning Specialist.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Computer Vision Engineer.</span>
									</li>
						</ul>
				</div>
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			<h2> <b>Requirements</b></h2>		</div>
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					<ul>
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											<span>
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										<span>Basic understanding of Python programming.</span>
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													</span>
										<span>Basic knowledge of machine learning concepts.</span>
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										<span>Willingness to learn and apply new skills in deep learning.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>

Skill Up

Let your AI journey transcend new heights with our Deep Learning & Neural Networks Python - Keras course, your best path to mastering deep learning.

Deep Learning & Neural Networks Python - Keras

<strong>If you are someone with a background in Python programming and is interested in presenting your analysis in interactive web-based dashboards, then you are in the right place. This course primarily focuses on Dash, along with other key data science libraries, including Pandas and Plotly. Learn to use Dash and Plotly in Python which can help you to visualize your critical insights and KPIs in web apps that are easily sharable.</strong>
        <p>Data visualization is a critical part of data science, in this quick and practical course you will learn how to create a great-looking interactive dashboard with Dash and Python. With this new skill, you will be able to present and share your analysis better with your customers' executives and the rest of your team.

This course is broken down into 5 parts and it is necessary to follow the structure as each part is built on top of the other. The first part is an introduction to Plotly Dash followed by building the layout of dashboards. The third part is how to make dashboards interactive with callbacks, fourth part introduces us to customize the look of dashboards. The last and final part is a business-centric project case study on creating an interactive map dashboard.

Throughout the course, you will be using 3 real-world datasets, which are the World Happiness dataset, FIFA Soccer dataset, and US electricity prices to help you learn Dash more.

By the end of the course, you will learn to build dashboards from scratch, by customizing their look and adding interactive features, with all free Python libraries.

All resources and code files are placed here: https://github.com/PacktPublishing/Python-Interactive-Dashboards-with-Plotly-Dash</p>
        <h2>What You Will Learn</h2><p>Learn to create a grid layout in dashboards<br>Create interactive graphs that are clickable<br>Create data tables in dashboards<br>Create a dashboard with a navigation bar and cards<br>Learn to add buttons to dashboards<br>Learn the basics of Python with this course</p>
        <h2>Audience</h2><p>This course can be taken by any Python programmer who wants to present their analyses in interactive web-based dashboards.</p>
        <h2>Approach</h2><p>This course includes instructional videos that walk you through the process step-by-step. You can learn at your own pace and download the Python scripts to use for your own projects.</p>
        <h2>Key Features</h2><p>Learn how to set up the layout of dashboards with Dash components * Make more dynamic dashboards with chained interactive features * Use Plotly to create plots including line charts, Choropleth maps</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Python-Interactive-Dashboards-with-Plotly-Dash</p>
        <h2>About the Author</h2><h3>Just Into Data</h3><p>Just Into Data is the brainchild of Justin and Lianne. Justin is an experienced data scientist in many different fields, such as marketing, anti-money laundering, and big data technologies. He also has a bachelor's degree in computer engineering and a master's degree in statistics.

Lianne is an experienced statistician who has worked in the central bank as well as commercial banks, where she monitored major financial institutions and conducted fraud analysis. She has both a bachelor's and a master's degree in statistics.</p>
        <h2>Course Outline</h2><h4>1. Let's Get Started</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>This video introduces you to the course and the author.</p></td></tr><tr><td style='padding: 15px;'><p>2. Course Overview</p><p style='margin: 0'>This video introduces you to the course overview.</p></td></tr></tbody></table><br><h4>2. Python Crash Course</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Setting Up Python Environment</p><p style='margin: 0'>This video explains how to set up a Python environment.</p></td></tr><tr><td style='padding: 15px;'><p>2. Overview of Data Types, Numeric, Define Variables</p><p style='margin: 0'>This video explains an overview of data types, numeric, define variables.</p></td></tr><tr><td style='padding: 15px;'><p>3. Strings, Common Functions, and Methods</p><p style='margin: 0'>This video explains strings, common functions, and methods.</p></td></tr><tr><td style='padding: 15px;'><p>4. Lists, Tuples, Sets, Dictionaries, Booleans</p><p style='margin: 0'>This video explains lists, tuples, sets, dictionaries, Booleans.</p></td></tr><tr><td style='padding: 15px;'><p>5. If Statements, Loops</p><p style='margin: 0'>This video explains if statements, loops.</p></td></tr><tr><td style='padding: 15px;'><p>6. Define Functions, Use Packages</p><p style='margin: 0'>This video defines functions, use packages.</p></td></tr></tbody></table><br><h4>3. Introduction to Plotly Dash</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. What is Dash</p><p style='margin: 0'>This video explains what Dash is.</p></td></tr><tr><td style='padding: 15px;'><p>2. Creating Your First Dashboard</p><p style='margin: 0'>This video explains how to create your first dashboard.</p></td></tr></tbody></table><br><h4>4. Building the Layout of Dashboards</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. HTML Components Overview</p><p style='margin: 0'>This video explains HTML components overview.</p></td></tr><tr><td style='padding: 15px;'><p>2. Core Components Overview</p><p style='margin: 0'>This video explains the overview of core components.</p></td></tr></tbody></table><br><h4>5. Making Dashboards Interactive with Callbacks</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction to Callbacks</p><p style='margin: 0'>This video introduces you to callbacks.</p></td></tr><tr><td style='padding: 15px;'><p>2. Building Callbacks with Single Input and Output</p><p style='margin: 0'>This video introduces you to building callbacks with single input and output.</p></td></tr><tr><td style='padding: 15px;'><p>3. Creating Interactive Plotly Figures</p><p style='margin: 0'>This video explains how to create interactive Plotly figures.</p></td></tr><tr><td style='padding: 15px;'><p>4. Building Callbacks with Multiple Inputs and Outputs</p><p style='margin: 0'>This video explains how to build callbacks with multiple inputs and outputs.</p></td></tr><tr><td style='padding: 15px;'><p>5. Chaining Callbacks' Inputs and Outputs</p><p style='margin: 0'>This video explains how to chain callbacks' inputs and outputs.</p></td></tr><tr><td style='padding: 15px;'><p>6. Controlling Callbacks with States (Button)</p><p style='margin: 0'>This video explains how to control callbacks with States (button).</p></td></tr></tbody></table><br><h4>6. Capstone Project I</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Avocado Prices Dashboard Overview</p><p style='margin: 0'>This video explains an overview of the Avocado prices dashboard.</p></td></tr></tbody></table><br><h4>7. Customizing the Look of Dashboards</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Customizing with Inline CSS</p><p style='margin: 0'>This video explains customizing with inline CSS.</p></td></tr><tr><td style='padding: 15px;'><p>2. Customizing with External CSS</p><p style='margin: 0'>This video explains customizing with external CSS.</p></td></tr><tr><td style='padding: 15px;'><p>3. Creating a Grid Layout</p><p style='margin: 0'>This video explains how to create a grid layout.</p></td></tr><tr><td style='padding: 15px;'><p>4. Building a Navigation Bar</p><p style='margin: 0'>This video explains how to build a navigation bar.</p></td></tr><tr><td style='padding: 15px;'><p>5. Building a Deck of Cards</p><p style='margin: 0'>This video explains how to build a deck of cards.</p></td></tr></tbody></table><br><h4>8. Case Study I: Creating an Interactive Map Dashboard</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Setting Up the Layout: RangeSlider</p><p style='margin: 0'>This video explains setting up the layout: RangeSlider.</p></td></tr><tr><td style='padding: 15px;'><p>2. Setting Up the Layout: Choropleth Map</p><p style='margin: 0'>This video explains Choropleth map.</p></td></tr><tr><td style='padding: 15px;'><p>3. Setting Up the Layout: DataTable</p><p style='margin: 0'>This video explains DataTable.</p></td></tr><tr><td style='padding: 15px;'><p>4. Adding Callbacks: Update the Map</p><p style='margin: 0'>This video explains how to update the map.</p></td></tr><tr><td style='padding: 15px;'><p>5. Adding Callbacks: Update the DataTable</p><p style='margin: 0'>This video explains how to update the DataTable.</p></td></tr></tbody></table><br><h4>9. Case Study II: Building a Live Updating Financial Dashboard</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Setting Up the Layout: Input and Button</p><p style='margin: 0'>This video explains setting up the layout: Input and Button.</p></td></tr><tr><td style='padding: 15px;'><p>2. Setting Up the Layout: Candlestick and DataTable</p><p style='margin: 0'>This video explains setting up the layout: Candlestick and DataTable.</p></td></tr><tr><td style='padding: 15px;'><p>3. Setting Up the Layout: Tabs</p><p style='margin: 0'>This video explains setting up the layout: Tabs.</p></td></tr><tr><td style='padding: 15px;'><p>4. Setting Up the Layout: Interval</p><p style='margin: 0'>This video explains setting up the layout: Interval.</p></td></tr><tr><td style='padding: 15px;'><p>5. Adding Callbacks: Live Update the Chart</p><p style='margin: 0'>This video explains adding callbacks: live update the chart.</p></td></tr><tr><td style='padding: 15px;'><p>6. Adding Callbacks: Live Update the DataTable</p><p style='margin: 0'>This video explains how to update the DataTable.</p></td></tr></tbody></table><br><h4>10. Capstone Project II</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Life Expectancy Dashboard Overview</p><p style='margin: 0'>This video gives an overview of the life expectancy dashboard.</p></td></tr></tbody></table><br><h4>11. Bonus Materials</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction to Jupyter Dash</p><p style='margin: 0'>This video introduces you to the Jupyter dashboard.</p></td></tr></tbody></table>

If you are someone with a background in Python programming and is interested in presenting your analysis in interactive web-based dashboards, then you are in the right place. This course primarily focuses on Dash, along with other key data science libraries, including Pandas and Plotly. Learn to use Dash and Plotly in Python which can help you to visualize your critical insights and KPIs in web apps that are easily sharable.

Python Interactive Dashboards with Plotly Dash

<strong>This course is a perfect supplement for ML enthusiasts. If you are only just beginning your adventures in machine learning and want to know the basics of statistics and regression used for machine learning, then go for it. Discover how you can level up and gain confidence to implement statistical methods and regression in machine learning with Python.</strong>
        <p>This course is for ML enthusiasts who want to understand basic statistics and regression for machine learning. The course starts with setting up the environment and understanding the basics of Python language and different libraries. Next, you'll see the basics of machine learning and different types of data. After that, you'll learn a statistics technique called Central Tendency Analysis.

Post this, you'll focus on statistical techniques such as variance and standard deviation. Several techniques and mathematical concepts such as percentile, normal distribution, uniform distribution, finding z-score, linear regression, polynomial linear regression, and multiple regression with the help of manual calculation and Python functions are introduced as the course progresses.

The dataset will get more complex as you proceed ahead; you'll use a CSV file to save the dataset. You'll see the traditional and complex method of finding the coefficient of regression and then explore ways to solve it easily with some Python functions.

Finally, you'll learn a technique called data normalization or standardization, which will improve the performance of the algorithms very much compared to a non-scaled dataset.

By the end of this course, you'll gain a solid foundation in machine learning and statistical regression using Python.

All the code files and related files are available on the GitHub repository at https://github.com/PacktPublishing/Basic-Statistics-and-Regression-for-Machine-Learning-in-Python</p>
        <h2>What You Will Learn</h2><p>Set up the environment<br>Learn central tendency analysis<br>Learn statistical models and analysis<br>Learn regression models and analysis<br>Use NumPy, matplotlib, and scikit-learn libraries<br>Learn the data normalization or standardization technique</p>
        <h2>Audience</h2><p>This course is for beginners and individuals who want to learn mathematics for machine learning. You need not have any prior experience or knowledge in coding; just be ready with your learning mindset at the highest level.<br><br>Individuals interested in learning what's actually happening behind the scenes of Python functions and algorithms (at least in a shallow layman's way) will be highly benefitted.<br><br>Basic computer knowledge and an interest to learn mathematics for machine learning is the only prerequisite for this course.</p>
        <h2>Approach</h2><p>This is a comprehensive and hands-on course to learn from basic to advanced mathematics and statistical concepts that cover machine learning algorithms. The instructor will take you through every step of the code.<br><br>The instructor shows both the manual calculation approach and then the Python functions to work around in solving statistical and regression problems.</p>
        <h2>Key Features</h2><p>A comprehensive course that includes Python coding, visualization, loops, variables, and functions * Manual calculation and then using Python functions/codes to understand the difference * Beginner to advanced mathematics and statistical concepts that cover machine learning algorithms</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Basic-Statistics-and-Regression-for-Machine-Learning-in-Python</p>
        <h2>About the Author</h2><h3>Abhilash Nelson</h3><p>Abhilash Nelson is a pioneering, talented, and security-oriented Android/iOS mobile and PHP/Python web application developer with more than 8 years of IT experience involving designing, implementing, integrating, testing, and supporting impactful web and mobile applications. He has a master's degree in computer science and engineering and has PHP/Python programming experience, which is an added advantage for server-based Android and iOS client applications. Abhilash is currently a senior solution architect managing projects from start to finish to ensure high quality and innovative and functional design.</p>
        <h2>Course Outline</h2><h4>1. Course Introduction and Table of Contents</h4><p></p><br><h4>2. Environment Setup: Preparing  your Computer</h4><p></p><br><h4>3. Essential Components Included in Anaconda</h4><p></p><br><h4>4. Python Basics - Assignment</h4><p></p><br><h4>5. Python Basics - Flow Control</h4><p></p><br><h4>6. Python Basics - List and Tuples</h4><p></p><br><h4>7. Python Basics - Dictionary and Functions</h4><p></p><br><h4>8. Numpy Basics</h4><p></p><br><h4>9. Matplotlib Basics</h4><p></p><br><h4>10. Basics of Data for Machine Learning</h4><p></p><br><h4>11. Central Data Tendency - Mean</h4><p></p><br><h4>12. Central Data Tendency - Median and Mode</h4><p></p><br><h4>13. Variance and Standard Deviation Manual Calculation</h4><p></p><br><h4>14. Variance and Standard Deviation using Python</h4><p></p><br><h4>15. Percentile Manual Calculation</h4><p></p><br><h4>16. Percentile using Python</h4><p></p><br><h4>17. Uniform Distribution</h4><p></p><br><h4>18. Normal Distribution</h4><p></p><br><h4>19. Manual Z score calculation</h4><p></p><br><h4>20. Z score calculation using python</h4><p></p><br><h4>21. Multi Variable Dataset Scatter Plot</h4><p></p><br><h4>22. Introduction to Linear Regression</h4><p></p><br><h4>23. Manually finding Linear Regression Correlation Coefficient</h4><p></p><br><h4>24. Manually finding Linear Regression Slope Equation</h4><p></p><br><h4>25. Manually Predicting the Future Value using Equation</h4><p></p><br><h4>26. Linear Regression using Python Introduction</h4><p></p><br><h4>27. Linear Regression using Python</h4><p></p><br><h4>28. Strong and Weak Linear Regression</h4><p></p><br><h4>29. Predicting Future value using Linear Regression in Python</h4><p></p><br><h4>30. Polynomial Regression Introduction</h4><p></p><br><h4>31. Polynomial Regression Visualization</h4><p></p><br><h4>32. Polynomial Regression Prediction and R2 value</h4><p></p><br><h4>33. Polynomial Regression Finding SD Components</h4><p></p><br><h4>34. Polynomial Regression Manual Method Equations</h4><p></p><br><h4>35. Finding SD components for abc</h4><p></p><br><h4>36. Finding abc</h4><p></p><br><h4>37. Polynomial Regression Equation and Prediction</h4><p></p><br><h4>38. Polynomial Regression coefficient</h4><p></p><br><h4>39. Multiple Regression Introduction</h4><p></p><br><h4>40. Multiple Regression using Python - Part 1 - Data Import as CSV</h4><p></p><br><h4>41. Multiple Regression using Python - Part 2 - Data Visualization</h4><p></p><br><h4>42. Creating Multiple Regression Object and Prediction using Python</h4><p></p><br><h4>43. Manual Multiple Regression - Intro and Finding Means</h4><p></p><br><h4>44. Manual Multiple Regression - Finding Components</h4><p></p><br><h4>45. Manual Multiple Regression - Finding a b c</h4><p></p><br><h4>46. Manual Multiple Regression Equation Prediction and Coefficients</h4><p></p><br><h4>47. Feature Scaling Introduction</h4><p></p><br><h4>48. Standardization Scaling using Python</h4><p></p><br><h4>49. Standardization Scaling using Manual Calculation</h4><p></p><br><h4>50. Further Learning References and Resource Download</h4><p></p>

Statistics

Programming

This course is a perfect supplement for ML enthusiasts. If you are only just beginning your adventures in machine learning and want to know the basics of statistics and regression used for machine learning, then go for it. Discover how you can level up and gain confidence to implement statistical methods and regression in machine learning with Python.

Basic Statistics and Regression for Machine Learning in Python

<p><strong>Unleash Your Coding Potential with the Ultimate Software Engineering Bundle!</strong></p><p>According to a recent study by Tech Nation, the UK's tech industry is booming, with an estimated <strong>4.8 million</strong> tech workers contributing over <strong>£185 billion</strong> to the economy. It also shows a growing demand for skilled software engineers, with a projected job growth of <strong>22% </strong>over the next decade and an average salary of <strong>£58,000</strong> per year.<strong><br /></strong></p><p>Are you ready to embark on an incredible journey through the world of programming and software engineering? Our <strong>Software Engineering, Python, C++ , Javascript, CSS, HTML Coding</strong> bundle is meticulously curated to equip you with the essential skills and knowledge to thrive in this dynamic field. We've assembled a collection of 20 skill-boosting courses in this Software Engineering bundle that will teach you the fundamentals of programming, web development, machine learning, and more. You'll also gain valuable insights into cybersecurity, SaaS development, and game development, empowering you to pursue a diverse range of career paths.</p><p>Don't miss out on this opportunity to enhance your coding prowess and ignite your software engineering journey. Enrol now and shape your future today!</p><p><strong>This Software Engineering, Python, C++ , Javascript, CSS, HTML Coding Bundle Contains </strong><strong>20</strong><strong> of Our Premium Courses for One Discounted Price:</strong></p><ul><li><strong> Course 01: </strong>Coding with Scratch<strong><br /></strong></li><li><strong> Course 02: </strong>C# Programming - Beginner to Advanced<strong><br /></strong></li><li><strong> Course 03: </strong>Machine Learning with Python Course<strong><br /></strong></li><li><strong> Course 04: </strong>Basics of WordPress: Create Unlimited Websites<strong><br /></strong></li><li><strong> Course 05: </strong>Modern PHP Web Development w/ MySQL, GitHub &amp; Heroku<strong><br /></strong></li><li><strong> Course 06: </strong>Node JS: API Development with Swagger<strong><br /></strong></li><li><strong> Course 07: </strong>Refactor Javascript <strong><br /></strong></li><li><strong> Course 08: </strong>Python Programming Bible | Networking, GUI, Email, XML, CGI<strong><br /></strong></li><li><strong> Course 09: </strong>Web Application Penetration Testing Course<strong><br /></strong></li><li><strong> Course 10: </strong>Penetration Testing with OWASP ZAP: Mastery course<strong><br /></strong></li><li><strong> Course 11: </strong>How To Startup Your Own SaaS (Software As a Service) Company (SaaS Evolution)<strong><br /></strong></li><li><strong> Course 12: </strong>Three.js &amp; WebGL 3D Programming Crash Course<strong><br /></strong></li><li><strong> Course 13: </strong>HTML Web Development Crash Course<strong><br /></strong></li><li><strong> Course 14:</strong> CSS Web Development Crash Course<strong><br /></strong></li><li><strong> Course 15:</strong> Flutter &amp; Dart Development for Building iOS and Android Apps<strong><br /></strong></li><li><strong> Course 16: </strong>Masterclass Bootstrap 5 Course - Responsive Web Design<strong><br /></strong></li><li><strong> Course 17: </strong>Game Development using Cocos2d-x v3 C++<strong><br /></strong></li><li><strong> Course 18: </strong>C++ Development: The Complete Coding Guide<strong><br /></strong></li><li><strong> Course 19:</strong> .NET Core API Development<strong><br /></strong></li><li><strong> Course 20: </strong>Stripe with C#</li></ul><p><strong>Learning Outcomes of Software Engineering Bundle:</strong></p><ul><li>Fluent coding in Python, C++, JavaScript, and more.</li><li>Web development mastery with HTML, CSS, and Bootstrap.</li><li>Expertise in machine learning, AI, and 3D programming.</li><li>Proficiency in WordPress, PHP, and Node.js.</li><li>Penetration testing skills for enhanced cybersecurity.</li><li>Creating iOS and Android apps using Flutter &amp; Dart.</li><li>Building a successful SaaS company from scratch.</li></ul><p><strong>Why Choose Our Software Engineering Bundle?</strong></p><ul><li>FREE Software Engineering certificate accredited</li><li>Get a free student ID card with Software Engineering Training</li><li>Get instant access to this Software Engineering course.</li><li>Learn Software Engineering from anywhere in the world</li><li>The Software Engineering is affordable and simple to understand</li><li>The Software Engineering is an entirely online, interactive lesson with voiceover audio</li><li>Lifetime access to the Software Engineering course materials</li><li>The Software Engineering comes with 24/7 tutor support</li></ul> <p>If you aim to enhance your Software Engineering skills, our comprehensive Software Engineering course is perfect for you. Designed for success, this Software Engineering course covers everything from basics to advanced topics in Software Engineering.</p><p>Dive into the magic of coding with courses like "Coding with Scratch" and "C# Programming - Beginner to Advanced". Harness the power of AI and data with "Machine Learning with Python Course", and effortlessly create stunning websites with "Modern PHP Web Development w/ MySQL, GitHub &amp; Heroku". Explore cutting-edge technologies such as "Node JS: API Development with Swagger" and "Three.js &amp; WebGL 3D Programming Crash Course. With these courses, you'll not only master programming languages but also gain the skills to secure web applications with "Web Application Penetration Testing Course" and "Penetration Testing with OWASP ZAP: Mastery Course".</p><p>Each lesson in this Software Engineering course is crafted for easy understanding, enabling you to become proficient in Software Engineering. Whether you are a beginner or looking to sharpen your existing skills, this Software Engineering is the ideal choice.</p> <h2>
        
        <div>CPD</div>
    </h2>

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                                        200 CPD hours / points
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                                            Accredited by CPD Quality Standards
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        <div>Who is this course for?</div>
    </h2>

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                            <p>This Software Engineering Bundle is ideal for:</p><ul><li>Aspiring programmers seeking comprehensive language expertise.</li><li>Web developers aiming to build responsive and engaging sites.</li><li>Tech enthusiasts interested in AI, machine learning, and 3D programming.</li><li>Individuals looking to enter the world of app development.</li></ul>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

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                            <p>You will not need any prior background or expertise in this Software Engineering bundle.</p>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

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                            <p>This Software Engineering bundle will allow you to kickstart or take your career to the next stage in the related sector such as:</p><ul><li>Junior Software Engineer: £25,000 - £35,000</li><li>Web Developer: £30,000 - £40,000</li><li>Machine Learning Engineer: £40,000 - £55,000</li><li>App Developer: £35,000 - £45,000</li><li>Penetration Tester: £30,000 - £45,000</li><li>SaaS Entrepreneur: Potential for substantial earnings.</li></ul>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4> Digital certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4> Hard copy certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>

                        </div>

Software Engineer

Online Course Creation

Software Engineering

Digital Skills

Software Development

Software Engineering, Python, C++ , Javascript, CSS, HTML Coding

<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

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			<h2><b>Course Overview</b></h2>		</div>
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					<div><p><span>Are you looking to secure a career in Python programming or software engineering?</span></p><p><span>The</span><b> Python Programming</b><span> course will take you from beginner to expert in this programming language in no time, with step-by-step instructor-led guidance. Through audiovisual training, you will develop your data analysis, programming and coding skills, learning how to perform a wide range of tasks. It will teach you how to get set up on Mac OS X, Linux, and Ubuntu, best practices for string formatting, handling exceptions, and much more.</span></p><p><span>This course is open to anyone who wants to learn Python programming from the basics to an advanced level. Enrol as a part-time or full-time student today and gain the skills to become a Python programming pro.</span></p></div>
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					<div><p>This best selling <strong>Python Programming </strong>has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth <strong>Python Programming </strong>is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.</p><p>The <strong>Python Programming </strong>is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The <strong>Python Programming </strong>is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.</p><p>After successfully completing the<strong> Python Programming</strong>, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the <strong>Python Programming </strong>will help you stand out from the crowd. You can also validate your certification on our website.</p><p>We know that you are busy and that time is precious, so we have designed the <strong>Python Programming </strong>to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. </p><p>Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.</p></div>
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Course Cloud

Redhill

<h3><b>Complete Python training course description</b></h3>
        <p> Python is an agile, robust, expressive, fully objectoriented,
          extensible, and scalable programming
          language. It combines the power of compiled
          languages with the simplicity and rapid development of
          scripting languages. This course covers Python from
          the very basics of 'hello world!' through to object
          oriented programming and advanced topics such as
          multi threading. Hands on follows all the major sections
          in order to reinforce the theory.</p>
        
				<h5><b>What will you learn</b></h5>
				<ul>
				 
	    <li>Read Python programs.</li>
        <li>Write Python programs.</li>
        <li>Debug Python programs.</li>
        <li>Use Python's objects and memory model as well as
          its OOP features.</li>
        </ul>
        <h5>
        <b>Complete Python programming training course details</b></h5>
				<div>
					<div>
						<ul>
							<li><b> Who will benefit:</b> </li>
							
               <p>Anyone wishing to learn Python. </p>
              
							<li><b>Prerequisites:</b></li>
							
             <p> None. </p>
              
							<li><b>Duration</b></li>
							
              <p>5 days
						</p>
              
							
             
              
						</ul>
					</div>
				</div>
       <h3><b>Complete Python programming training course contents</b></h3>
      <ul>
        <li>Welcome to Python: </li>
        <p> What is Python? Origins, features. Downloading and installing Python, Python manuals, comparing Python, other implementations. </p>
        <li>Getting started: </li>
        <p> Program output, the print statement, "hello world!", Program input, raw_input(), comments, operators, variables and assignment, numbers, strings, lists and tuples, dictionaries, indentation, if statement, while Loop, for loop. range(), list comprehensions. Files, open() and file() built-in functions. Errors and exceptions. Functions, Classes, Modules, useful functions. </p>
        <li>Python basics: </li>
        <p> Statements and syntax, variable assignment, identifiers, basic style guidelines, memory management, First Python programs, Related modules/developer tools. </p>
        <li>Python Objects: </li>
        <p> Other built-in types, Internal Types, Standard type operators, Standard type built-in functions, Categorizing standard types, Unsupported types. </p>
        <li>Numbers: </li>
        <p> Integers, Double precision floating point numbers, Complex numbers, Operators, Built-in and factory functions, Other numeric types. </p>
        <li>Sequences: strings, lists, and tuples: </li>
        <p> Sequences, Strings, Strings and operators, String-only operators, Built-in functions, String built-in methods, Special features of strings, Unicode, Summary of string highlights, Lists, Operators, Built-in functions, List type built-in methods, Special features of lists, Tuples, Tuple operators and built-in functions, Tuples special features, Copying Python objects and shallow and deep copies. </p>
        <li>Mapping and set types: </li>
        <p> Mapping Type: dictionaries and operators, Mapping type built-in and factory functions, Mapping type built-in methods, Dictionary keys, Set types, Set type operators, Built-in functions, Set type built-in methods. </p>
        <li>Conditionals and loops: </li>
        <p> If, else and elif statements, Conditional expressions, while, for, break, continue and pass statements, else statement . . . take two, Iterators and iter(), List comprehensions, Generator expressions. </p>
        <li>Files and input/output: </li>
        <p> File objects, File built-in functions [open() and file()], File built-in methods and attributes, Standard files, Command-line arguments, File system, File execution, Persistent storage modules. </p>
        <li>Errors and exceptions: </li>
        <p> What are exceptions? Detecting and handling exceptions, Context management, Exceptions as strings, Raising exceptions, Assertions, Standard exceptions, Creating Exceptions, Why exceptions, Exceptions and the sys module. </p>
        <li>Functions: </li>
        <p> Calling, creating and passing functions, formal arguments, variable-length arguments, functional programming, Variable scope, recursion, generators. </p>
        <li>Modules: </li>
        <p> Modules and files, Namespaces, Importing modules, Module import features, Module built-in functions, Packages, Other features of modules. </p>
        <li>Object-Oriented Programming (OOP): </li>
        <p> Classes, Class attributes, Instances, Instance attributes, Binding and method invocation, Static methods and class methods, Composition, Sub-classing and derivation, Inheritance, Built-in functions for classes, and other objects, Customizing classes with special methods, Privacy, Delegation, Advanced features of new-style classes (Python 2.2+), Related modules and documentation. </p>
        <li>Execution environment: </li>
        <p> Callable and code Objects, Executable object statements and built-in functions, Executing other programs. 'Restricted' and 'Terminating' execution, operating system interface. </p>
        <li>Regular expressions: </li>
        <p> Special symbols and characters, REs and Python, Regular expressions example. </p>
        <li>Network programming: </li>
        <p> Sockets: communication endpoints, Network programming in Python, SocketServer module, Twisted framework introduction. </p>
        <li>Internet client programming: </li>
        <p> What are internet clients? Transferring files, Network news, E-mail. </p>
        <li>Multithreaded Programming: </li>
        <p> Threads and processes Python, threads, and the global interpreter lock, The thread and threading Modules. </p>
        <li>GUI programming: </li>
        <p> Tkinter and Python programming, Tkinter Examples, Brief tour of other GUIs. </p>
        <li>Web programming: </li>
        <p> Web surfing with Python: creating simple web clients, Advanced Web clients, CGI: helping web servers process client data, Building CGI applications, Using Unicode with CGI, Advanced CGI, Web (HTTP) Servers. </p>
        <li>Database programming: </li>
        <p> Python database application programmer's interface (DB-API), ORMs. </p>
        <li>Miscellaneous </li>
        <p> Extending Python by writing extensions, Web Services, programming MS Office with Win32 COM, Python and Java programming with Jython.</p>
      </ul>

Systems & Network Training

Network Engineer

Complete Python programming

<strong>Learn Python programming by developing robust GUIs and games</strong>
        <p>Coding for beginners and kids is now made exciting and easy. Learn to code fun?games, graphics and graphical user interfaces (GUIs) in Python, one of the most powerful programming languages known for its speed, flexibility, and ease-of-use. The Python coding language integrates well with other platforms and runs on almost all modern devices. This OSI-approved open-source language allows free use and distribution (including commercial distribution).
This course helps you delve into the graphics and UX (user experience) aspects of Python. You'll get up to speed with this computer language in a hands-on manner by drawing shapes, coding a simple game, and designing GUIs (graphical user interfaces), including a functional GUI for a temperature converter app. The course will also guide you through analyzing scientific and statistical data. As you advance, you'll get to grips with developing educational software. In addition to this, you'll gain comprehensive insights into accessing and organizing databases, along with understanding how to manage networks.
By the end of this course, you will be well-versed with using not only Python 2 but Python 3 as well for designing immersive games and developing interactive applications and websites.
All the codes and supporting files for this course are available at - https://github.com/PacktPublishing/Project-Based-Python-Programming-For-Kids-and-Beginners</p>
        <h2>What You Will Learn</h2><p>Build simple Python-based games using programming loops and functions<br>Draw graphics using the Python module Turtle<br>Develop Python graphical user interfaces with Tkinter<br>Understand how to work with Python 2 and 3<br>Use the in-built Python modules for your projects<br>Use Microsoft Visual Studio Code-a powerful IDLE for programming and development in Python and other languages</p>
        <h2>Audience</h2><p>If you are interested in developing your Python skills, working through real-life programming projects, or building exciting games and GUIs, then this course is for you.</p>
        <h2>Approach</h2><p>The course provides detailed instructions for everything from Python installation to getting started with Microsoft Visual Code. It features helpful coding instructions, along with code examples. Each video will teach you a new programming?concept?that you can apply in real time. The course also helps you reinforce your learning with fun quizzes.</p>
        <h2>Key Features</h2><p>Learn the basics of Python game programming * Develop intuitive and efficient Python GUIs * Create simple yet practical applications in Python</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/project-based-python-programming-for-kids-and-beginners</p>
        <h2>About the Author</h2><h3>Minerva Singh</h3><p>Minerva Singh is a PhD graduate from Cambridge University where she specialized in Tropical Ecology. She is also a part-time Data Scientist. As part of her research, she must carry out extensive data analysis, including spatial data analysis. For this purpose, she prefers to use a combination of freeware tools: R, QGIS, and Python. She does most of her spatial data analysis work using R and QGIS. Apart from being free, these are very powerful tools for data visualization, processing, and analysis. She also holds an MPhil degree in Geography and Environment from Oxford University. She has honed her statistical and data analysis skills through several MOOCs, including The Analytics Edge and Statistical. In addition to spatial data analysis, she is also proficient in statistical analysis, machine learning, and data mining.</p>
        <h2>Course Outline</h2><h4>1. Introduction to Project Based Python Programming</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction to the Course & Me</p><p style='margin: 0'>Introduction to Project Based Python Programming: Introduction to the Course & Me</p></td></tr><tr><td style='padding: 15px;'><p>2. Python Installation for Windows</p><p style='margin: 0'>Introduction to Project Based Python Programming: Python Installation for Windows</p></td></tr><tr><td style='padding: 15px;'><p>3. Python Installation for Other OS</p><p style='margin: 0'>Introduction to Project Based Python Programming: Python Installation for Other OS</p></td></tr><tr><td style='padding: 15px;'><p>4. Online Python IDLE</p><p style='margin: 0'>Introduction to Project Based Python Programming: Online Python IDLE</p></td></tr><tr><td style='padding: 15px;'><p>5. Hello World in Python</p><p style='margin: 0'>Introduction to Project Based Python Programming: Hello World in Python</p></td></tr><tr><td style='padding: 15px;'><p>6. Python Coding with Visual Studio</p><p style='margin: 0'>Introduction to Project Based Python Programming: Python Coding with Visual Studio</p></td></tr><tr><td style='padding: 15px;'><p>7. Some Common Python Terms</p><p style='margin: 0'>Introduction to Project Based Python Programming: Some Common Python Terms</p></td></tr><tr><td style='padding: 15px;'><p>8. Conclusion to Section 1</p><p style='margin: 0'>Introduction to Project Based Python Programming: Conclusion to Section 1</p></td></tr></tbody></table><br><h4>2. Diving into the Python Basics</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Basic Arithmetic in Python</p><p style='margin: 0'>Diving into the Python Basics: Basic Arithmetic in Python</p></td></tr><tr><td style='padding: 15px;'><p>2. Welcome to the World of Data Types</p><p style='margin: 0'>Diving into the Python Basics: Welcome to the World of Data Types</p></td></tr><tr><td style='padding: 15px;'><p>3. Random Number Generation</p><p style='margin: 0'>Diving into the Python Basics: Random Number Generation</p></td></tr><tr><td style='padding: 15px;'><p>4. Working With Strings</p><p style='margin: 0'>Diving into the Python Basics: Working With Strings</p></td></tr><tr><td style='padding: 15px;'><p>5. Get User Inputs</p><p style='margin: 0'>Diving into the Python Basics: Get User Inputs</p></td></tr><tr><td style='padding: 15px;'><p>6. Tuples</p><p style='margin: 0'>Diving into the Python Basics: Tuples</p></td></tr><tr><td style='padding: 15px;'><p>7. Lists</p><p style='margin: 0'>Diving into the Python Basics: Lists</p></td></tr><tr><td style='padding: 15px;'><p>8. Dictionaries</p><p style='margin: 0'>Diving into the Python Basics: Dictionaries</p></td></tr><tr><td style='padding: 15px;'><p>9. Defining our Own Functions in Python-Basic</p><p style='margin: 0'>Diving into the Python Basics: Defining our Own Functions in Python-Basic</p></td></tr><tr><td style='padding: 15px;'><p>10. Some More On Functions</p><p style='margin: 0'>Diving into the Python Basics: Some More On Functions</p></td></tr><tr><td style='padding: 15px;'><p>11. Conclusions to Section 2</p><p style='margin: 0'>Diving into the Python Basics: Conclusions to Section 2</p></td></tr></tbody></table><br><h4>3. Decision Making with Programming</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Rationale for this section</p><p style='margin: 0'>Decision Making with Programming: Rationale for this section</p></td></tr><tr><td style='padding: 15px;'><p>2. if-else loops</p><p style='margin: 0'>Decision Making with Programming: if-else loops</p></td></tr><tr><td style='padding: 15px;'><p>3. elif in if-else loops</p><p style='margin: 0'>Decision Making with Programming: elif in if-else loops</p></td></tr><tr><td style='padding: 15px;'><p>4. while loop</p><p style='margin: 0'>Decision Making with Programming: while loop</p></td></tr><tr><td style='padding: 15px;'><p>5. for loop</p><p style='margin: 0'>Decision Making with Programming: for loop</p></td></tr><tr><td style='padding: 15px;'><p>6. More on Loops</p><p style='margin: 0'>Decision Making with Programming: More on Loops</p></td></tr><tr><td style='padding: 15px;'><p>7. Nested For Loop</p><p style='margin: 0'>Decision Making with Programming: Nested For Loop</p></td></tr><tr><td style='padding: 15px;'><p>8. Build a Number Guessing Game!!-Basic</p><p style='margin: 0'>Decision Making with Programming: Build a Number Guessing Game!!-Basic</p></td></tr><tr><td style='padding: 15px;'><p>9. Build a Number Guessing Game!!-Advanced</p><p style='margin: 0'>Decision Making with Programming: Build a Number Guessing Game!!-Advanced</p></td></tr><tr><td style='padding: 15px;'><p>10. OPTIONAL:Build a Number Guessing Game!!-(More) Advanced</p><p style='margin: 0'>Decision Making with Programming: OPTIONAL:Build a Number Guessing Game!!-(More) Advanced</p></td></tr><tr><td style='padding: 15px;'><p>11. Conclusion to Section 3</p><p style='margin: 0'>Decision Making with Programming: Conclusion to Section 3</p></td></tr></tbody></table><br><h4>4. Graphics with Python</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Working With Graphics in Python</p><p style='margin: 0'>Graphics with Python: Working With Graphics in Python</p></td></tr><tr><td style='padding: 15px;'><p>2. Draw a Square</p><p style='margin: 0'>Graphics with Python: Draw a Square</p></td></tr><tr><td style='padding: 15px;'><p>3. The Idea Behind Angles</p><p style='margin: 0'>Graphics with Python: The Idea Behind Angles</p></td></tr><tr><td style='padding: 15px;'><p>4. Draw a Rectangle Using Loops</p><p style='margin: 0'>Graphics with Python: Draw a Rectangle Using Loops</p></td></tr><tr><td style='padding: 15px;'><p>5. Create a Rectangle Function</p><p style='margin: 0'>Graphics with Python: Create a Rectangle Function</p></td></tr><tr><td style='padding: 15px;'><p>6. Code Along1: Draw an Equilateral Triangle</p><p style='margin: 0'>Graphics with Python: Code Along1: Draw an Equilateral Triangle</p></td></tr><tr><td style='padding: 15px;'><p>7. Code Along2: Draw an Equilateral Triangle With Loops</p><p style='margin: 0'>Graphics with Python: Code Along2: Draw an Equilateral Triangle With Loops</p></td></tr><tr><td style='padding: 15px;'><p>8. Code an Irregular Shape: Start a Snowflake</p><p style='margin: 0'>Graphics with Python: Code an Irregular Shape: Start a Snowflake</p></td></tr><tr><td style='padding: 15px;'><p>9. Snowflakes!!</p><p style='margin: 0'>Unsupervised Learning in Python: Hierarchical Clustering-practical</p></td></tr><tr><td style='padding: 15px;'><p>10. Conclusions to Section 4</p><p style='margin: 0'>Graphics with Python: Conclusions to Section 4</p></td></tr></tbody></table><br><h4>5. GUI Programming with Python</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Start with GUIs in Python</p><p style='margin: 0'>GUI Programming with Python: Start with GUIs in Python</p></td></tr><tr><td style='padding: 15px;'><p>2. Create a Simple Button With tkinter</p><p style='margin: 0'>GUI Programming with Python: Create a Simple Button With tkinter</p></td></tr><tr><td style='padding: 15px;'><p>3. Add Functionality to the Button</p><p style='margin: 0'>GUI Programming with Python: Add Functionality to the Button</p></td></tr><tr><td style='padding: 15px;'><p>4. The Tkinter Grid</p><p style='margin: 0'>GUI Programming with Python: The Tkinter Grid</p></td></tr><tr><td style='padding: 15px;'><p>5. Common Tkinter GUI Widgets</p><p style='margin: 0'>GUI Programming with Python: Common Tkinter GUI Widgets</p></td></tr><tr><td style='padding: 15px;'><p>6. Canvas for Drawing-part1</p><p style='margin: 0'>GUI Programming with Python: Canvas for Drawing-part1</p></td></tr><tr><td style='padding: 15px;'><p>7. Canvas for Drawing-part2</p><p style='margin: 0'>GUI Programming with Python: Canvas for Drawing-part2</p></td></tr><tr><td style='padding: 15px;'><p>8. Simple Expression Evaluator</p><p style='margin: 0'>GUI Programming with Python: Simple Expression Evaluator</p></td></tr><tr><td style='padding: 15px;'><p>9. Start With the Temperature Conversion App</p><p style='margin: 0'>GUI Programming with Python: Start With the Temperature Conversion App</p></td></tr><tr><td style='padding: 15px;'><p>10. Complete the App-1</p><p style='margin: 0'>GUI Programming with Python: Complete the App-1</p></td></tr><tr><td style='padding: 15px;'><p>11. Complete the App-2</p><p style='margin: 0'>GUI Programming with Python: Complete the App-2</p></td></tr></tbody></table>

Learn Python programming by developing robust GUIs and games

Project-Based Python Programming For Kids and Beginners

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					<div><p>Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step training course. This Python Programming Complete Training has been specially designed to help learners gain a good command of Python Programming, providing them with a solid foundation of knowledge to become a qualified professional.</p><p>Through this Python Programming Complete Training , you will gain both practical and theoretical understanding of Python Programming  that will increase your employability in this field, help you stand out from the competition and boost your earning potential in no time.</p><p>Not only that, but this training includes up-to-date knowledge and techniques that will ensure you have the most in-demand skills to rise to the top of the industry. This qualification is fully accredited, broken down into several manageable modules, ideal for aspiring professionals.</p></div>
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			<h2><b> Learning outcome</b></h2>		</div>
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			<h2> <b>Why should I take this course?</b></h2>		</div>
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			<h2> <b>Requirements</b></h2>		</div>
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Get ready for a comprehensive Python programming journey! Master the fundamentals, tackle advanced concepts, and build real-world projects. Join now!

Python Programming Complete Training

"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.
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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.
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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.
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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.
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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.
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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.
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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>The world runs on zeros and ones, and Python is the key to unlocking their power. Whether you're a seasoned pro or just starting out, our Python Programming Bundle has everything you need to take your tech skills to the next level. With three QLS-endorsed courses and five CPD-QS accredited courses, this bundle is the ultimate resource for anyone looking to master Python programming and machine learning.</p><p>In the world of Python, there are no limits to what you can achieve. Our QLS-endorsed courses in Python Programming for Non Programmers Level 5, and Python Programming Bible | Networking, GUI, Email, XML, CGI cover everything from the basics of Python syntax to advanced topics like networking and web development. And upon completion of each course, you'll receive a hardcopy certificate endorsed by QLS, recognised globally as a mark of excellence in education and training.</p><p>But that's not all - our bundle also includes five CPD-QS accredited courses covering topics like Azure Machine Learning, Complete Python Machine Learning &amp; Data Science Fundamentals, and 2021 Data Science &amp; Machine Learning with R from A-Z. These courses are designed to give you the competitive edge you need to succeed in the fast-paced world of tech.</p><p><strong>QLS Endorsed Courses:</strong></p><ul><li><strong>Course 01:</strong> Advanced Diploma in Python Programming: Beginner To Expert at QLS Level 7</li><li><strong>Course 02:</strong> Diploma in Python Programming at QLS Level 5</li><li><strong>Course 03:</strong> Diploma in Python Programming Bible at QLS Level 5</li></ul><p><strong>CPD QS Accredited Courses:</strong></p><ul><li><strong>Course 04:</strong> Diploma in Python Programming</li><li><strong>Course 05:</strong> Azure Machine Learning</li><li><strong>Course 06:</strong> Complete Python Machine Learning &amp; Data Science Fundamentals</li><li><strong>Course 07:</strong> Machine Learning Model Using AWS SageMaker Canvas</li><li><strong>Course 08:</strong> 2021 Data Science &amp; Machine Learning with R from A-Z</li></ul><p>Take your career to the next level with our bundle that includes not only technical courses but also <strong>five guided courses</strong> focused on personal development and <strong> career growth.</strong></p><ul><li><strong>Course 09: </strong>Leadership and Management Course</li><li><strong>Course 10:</strong> Career Development and Passion</li><li><strong>Course 11: </strong>Professional CV Writing</li><li><strong>Course 12: </strong>Boost Your Confidence and Self-Esteem</li><li><strong>Course 13: </strong>Public Speaking: Confident Delivery Skills</li></ul><p><strong>Learning Outcomes:</strong></p><ul><li>Understanding of Python syntax and programming concepts</li><li>Proficiency in Python data structures and algorithms</li><li>Knowledge of Python libraries and frameworks</li><li>Familiarity with networking and web development using Python</li><li>Understanding of machine learning and data science concepts</li><li>Ability to build Python-based applications and solutions</li><li>Effective problem-solving and debugging skills</li></ul><p>Our Python Programming Bundle is the ultimate resource for anyone looking to master the Python programming language and take their tech career to the next level. In the Python Programming course, you'll learn the basics of Python syntax and programming concepts, including data types, variables, and functions. The Python Programming for Non Programmers Level 5 course covers advanced topics like object-oriented programming and database integration. And in the Python Programming Bible | Networking, GUI, Email, XML, CGI course, you'll learn how to build networking applications, create GUIs, and work with email, XML, and CGI.</p><p><strong>Certification</strong></p><p>Learners will qualify for the <strong>highly sought-after QLS Endorsed Certificate</strong> after successfully passing the assessment at the conclusion of each endorsed course.</p><p><strong>The Quality Licence Scheme</strong> is a credible and renowned endorsement that marks <strong>high quality</strong><strong>and excellence</strong> in the UK. It is well accepted and sought after by industry experts and recruiters.</p><p>Learners who purchase this bundle will receive <strong>Three Hardcopy QLS Certificates at their door!</strong></p><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>IT professionals looking to enhance their Python programming skills</li><li>Students interested in pursuing a career in data science or machine learning</li><li>Entrepreneurs looking to build tech products and solutions</li><li>Anyone interested in learning more about Python and its applications in the tech industry</li></ul>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Python Developer: £30,000 - £70,000 per year</li><li>Data Analyst: £22,000 - £50,000 per year</li><li>Machine Learning Engineer: £35,000 - £100,000 per year</li><li>Full-Stack Developer: £25,000 - £75,000 per year</li><li>Software Engineer: £30,000 - £80,000 per year</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Hard copy certificate -
            Included
        </p>

                        </div>

One Education

Python Programming Bundle (QLS) Course

<strong>Learn Python Programming using a Step By Step Approach with 200+ code examples.</strong>
        <p>Python is one of the most popular programming languages. Python offers both object-oriented and structural programming features. We love Programming. Our aim with this course is to create a love for Programming. 
In more than 150 Steps, we explore the most important Python Programming Language Features
??Basics of Python Programming - Expressions, Variables, and Printing Output
??Python Operators - Python Assignment Operator, Relational and Logical Operators, Short Circuit Operators
??Python Conditionals and If Statement
??Methods - Parameters, Arguments and Return Values
??An Overview Of Python Platform
??Object-Oriented Programming - Class, Object, State and Behavior
??Basics of OOPS - Encapsulation, Inheritance and Abstract Class.
??Basics about Python Data Types
??Basics about Python Built-in Modules
??Conditionals with Python - If Else Statement, Nested If Else
??Loops - For Loop, While Loop in Python, Break and Continue
??Immutablity of Python Basic Types
??Python Data Structures - List, Set, Dictionary and Tuples
??Introduction to Variable Arguments
??Basics of Designing a Class - Class, Object, State and Behavior. Deciding State and Constructors.
??Introduction to Exception Handling - Your Thought Process during Exception Handling. try, except, else and finally. Exception Hierarchy. Throwing an Exception. Creating and Throwing a Custom Exception.
All the code and supporting files for this course are available at: https://github.com/PacktPublishing/Python-Programming-for-Beginners---Learn-in-100-Easy-Steps
</p>
        <h2>What You Will Learn</h2><p>You will learn Python the modern way - Step By Step - with 200 hands-on Code Examples<br>You will understand the best practices in writing high-quality Pythonic Code<br>You will solve a Wide Range of Hands-on Programming exercises with Python<br>You will learn to Write awesome Object-Oriented Programs with Python<br>You will acquire all the Python Skills needed to transition into Analytics, Machine Learning and Data Science Roles<br>You will Acquire all the SKILLS to demonstrate an EXPERTISE with Python Programming in Your Job Interviews<br>You will learn about a wide variety of Python Data Structures - List, Set, Dictionary and Tuples<br>You will learn the basics of PyCharm IDE and Python Shell<br>You will learn how to think as a Python Programmer<br>You will learn the basics of programming - variables, choosing a data type, conditional execution, loops, writing great methods, breaking down problems into subproblems and implementing exception handling.<br>You will learn the basics of Object Oriented Programming - Inheritance, Abstract Class and Constructors<br>You will learn the important concepts of Object Oriented Programming - Abstraction and Inheritance</p>
        <h2>Audience</h2><p>This course is for anyone who wants to learn Programming with Python. You want to automate things with Python.</p>
        <h2>Approach</h2><p>We take a hands-on approach using a combination of Python Shell and PyCharm as an IDE to illustrate more than 150 Python Coding Exercises, Puzzles and Code Examples.</p>
        <h2>Key Features</h2><p>The course is amazing, the instructor has good knowledge in the field  * This course can be viewed with zero Python Programming Experience</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/python-programming-for-beginners---learn-in-100-easy-steps</p>
        <h2>About the Author</h2><h3>In28Minutes Official</h3><p>	Ranga Karanam is a seasoned technologist and architect with over two decades of expertise in programming, design, and architecture. He founded in28Minutes with the goal of helping students master cutting-edge cloud-native technologies such as AWS, Azure, Google Cloud, Docker, and Kubernetes. With 15 years of experience in Java programming and design, Ranga has collaborated with top banking clients worldwide.

His passion for creating hands-on courses with real-world projects motivated him to develop the Step-By-Step series of courses that follow a problem-solution-based approach, with practical and real-world application examples.

Ranga and his team at in28Minutes specialize in Java and related frameworks such as Spring, Spring Boot, Spring MVC, Struts, and Hibernate. They are committed to equipping learners with the skills and knowledge necessary to succeed in today's rapidly evolving technology landscape.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><br><h4>2. Introduction to Python Programming With Multiplication Table</h4><p></p><br><h4>3. Introduction to Methods - Multiplication Table</h4><p></p><br><h4>4. Introduction to Python Platform</h4><p></p><br><h4>5. Introduction to PyCharm</h4><p></p><br><h4>6. Basic Numeric Data Types and Conditional Execution</h4><p></p><br><h4>7. Text in Python</h4><p></p><br><h4>8. Python Loops</h4><p></p><br><h4>9. Python Tips for Beginners</h4><p></p><br><h4>10. Introduction to Object Oriented Programming</h4><p></p><br><h4>11. Python Data Structures</h4><p></p><br><h4>12. Object Oriented Programming Again</h4><p></p><br><h4>13. Error Handling with Python</h4><p></p><br><h4>14. A Few More Python Tips</h4><p></p><br><h4>15. Thank You and Congratulations</h4><p></p>

Learn Python Programming using a Step By Step Approach with 200+ code examples.

Python Programming for Beginners - Learn in 100 Easy Steps

<h3><b>Overview</b></h3><p><span>With the ever-increasing demand for Python Programming  in personal &amp; professional settings, this online training aims at educating, nurturing, and upskilling individuals to stay ahead of the curve - whatever their level of expertise in Python Programming  may be.</span></p><p><span>Learning about Python Programming  or keeping up to date on it can be confusing at times, and maybe even daunting! But that's not the case with this course from Compete High. We understand the different requirements coming with a wide variety of demographics looking to get skilled in Python Programming . That's why we've developed this online training in a way that caters to learners with different goals in mind. The course materials are prepared with consultation from the experts of this field and all the information on Python Programming  is kept up to date on a regular basis so that learners don't get left behind on the current trends/updates.</span></p><p><span>The self-paced online learning methodology by compete high in this Python Programming  course helps you learn whenever or however you wish, keeping in mind the busy schedule or possible inconveniences that come with physical classes. The easy-to-grasp, bite-sized lessons are proven to be most effective in memorising and learning the lessons by heart. On top of that, you have the opportunity to receive a certificate after successfully completing the course!</span></p><p><span>Instead of searching for hours, enrol right away on this Python Programming  course from Compete High and accelerate your career in the right path with expert-outlined lessons and a guarantee of success in the long run.</span></p><h3><b>Who is this course for?</b></h3><p><span>While we refrain from discouraging anyone wanting to do this Python Programming  course or impose any sort of restrictions on doing this online training, people meeting any of the following criteria will benefit the most from it:</span></p><ol><li><span>Anyone looking for the basics of Python Programming ,</span></li><li><span>Jobseekers in the relevant domains,</span></li><li><span>Anyone with a ground knowledge/intermediate expertise in Python Programming ,</span></li><li><span>Anyone looking for a certificate of completion on doing an online training on this topic,</span></li><li><span>Students of Python Programming , or anyone with an academic knowledge gap to bridge,</span></li><li><span>Anyone with a general interest/curiosity</span></li></ol><h3><b>Career Path</b></h3><p><span>This Python Programming  course smoothens the way up your career ladder with all the relevant information, skills, and online certificate of achievements. After successfully completing the course, you can expect to move one significant step closer to achieving your professional goals - whether it's securing that job you desire, getting the promotion you deserve, or setting up that business of your dreams. </span></p><p> </p><div><div><div><h3>
Course Curriculum</h3><div><div><h4>
Module-1-Introduction-to-Python.pdf</h4><div><div><ul><li><div>
<span></span><h5>
Introduction-to-Python.pdf</h5></div><div>
<span>
00:00													</span>
<span></span></div></li></ul></div></div></div><div><h4>
Module-2-Variables.pdf</h4><div><div><ul><li><div>
<span></span><h5>
Variables.pdf</h5></div><div>
<span>
00:00													</span>
<span></span></div></li></ul></div></div></div><div><h4>
Module-3-Conditional-Statement.pdf</h4><div><div><ul><li><div>
<span></span><h5>
Conditional-Statement.pdf</h5></div><div>
<span>
00:00													</span>
<span></span></div></li></ul></div></div></div><div><h4>
Module-4-Loops.pdf</h4><div><div><ul><li><div>
<span></span><h5>
Loops.pdf</h5></div><div>
<span>
00:00													</span>
<span></span></div></li></ul></div></div></div><div><h4>
Module-5-Functions.pdf</h4><div><div><ul><li><div>
<span></span><h5>
Functions.pdf</h5></div><div>
<span>
00:00													</span>
<span></span></div></li></ul></div></div></div><div><h4>
Module-6-Objects.pdf</h4><div><div><ul><li><div>
<span></span><h5>
Objects.pdf</h5></div><div>
<span>
00:00													</span>
<span></span></div></li></ul></div></div></div></div></div></div></div>

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