Name: Complete Microsoft Power BI 2021
Price: 12 GBP
Availability: InStock

<p><strong>24 Hour Flash Deal **25-in-1 </strong><strong>Professional Functional Skills Maths Teacher </strong><strong>Mega Bundle**</strong></p><p><strong> </strong><strong>Professional Functional Skills Maths Teacher </strong><strong>Enrolment Gifts  **FREE PDF Certificate**FREE PDF Transcript ** FREE Exam** FREE Student ID ** Lifetime Access **FREE Enrolment Letter **</strong></p><p>Take the initial steps toward a successful long-term career by studying the <strong>Professional Functional Skills Maths Teacher</strong> package online with <strong>Studyhub </strong>through our online learning platform. The Professional Functional Skills Maths Teacher bundle can help you improve your CV, wow potential employers, and differentiate yourself from the mass.</p><p>This <strong>Professional Functional Skills Maths Teacher </strong>course provides complete 360-degree training on Professional Functional Skills Maths Teacher. You'll get not one, not two, not three, but <strong>twenty-five </strong>Professional Functional Skills Maths Teacher courses included in this course. Plus Studyhub's signature <strong>Forever Access</strong> is given as always, meaning these Professional Functional Skills Maths Teacher courses are yours for as long as you want them once you enrol in this course</p><p><strong>This Professional Functional Skills Maths Teacher Bundle consists the following career oriented courses:</strong></p><ul><li>Course 01: Functional Skills Maths</li><li>Course 02: Functional Skills Maths &amp; English Diploma</li><li>Course 03: Trigonometry Basics</li><li>Course 04: Applied Statistics</li><li>Course 05: Diploma in Statistics &amp; Probability for Data Science &amp; Machine Learning</li><li>Course 06: Mathematics</li><li>Course 07: High School Math (Pure Mathematics 1)</li><li>Course 08: Excel in Personal Finance</li><li>Course 09: Creative Problem Solving</li><li>Course 10: Computer Simulation of Realistic Mathematical Models Training</li><li>Course 11: Calculus Level 1 - Learn Differentiation</li><li>Course 12: Computer Science with Python Course</li><li>Course 13: Adult Learning: A Comprehensive Guide for Educators</li><li>Course 14: Enhancing Adult Literacy and Numeracy Skills</li><li>Course 15: Adult Education Mastery Training</li><li>Course 16: Super Learning</li><li>Course 17: Teaching Techniques &amp; Methodologies Diploma</li><li>Course 18: Educational Psychology and Development</li><li>Course 19: Education Management course</li><li>Course 20: Planning, Delivery and Assessment in Teaching</li><li>Course 21: Teach to Engage Students</li><li>Course 22: Blended Learning Course for Teachers</li><li>Course 23: Understanding Specific Learning Difficulties: Supporting Diverse Learners</li><li>Course 24: Lesson Planning for Teaching</li><li>Course 25: Motivational Mentorship: Inspiring Personal and Professional Growth</li></ul> <p>The <strong>Professional Functional Skills Maths Teacher </strong>course has been prepared by focusing largely on Professional Functional Skills Maths Teacher career readiness. It has been designed by our Professional Functional Skills Maths Teacher specialists in a manner that you will be likely to find yourself head and shoulders above the others. For better learning, one to one assistance will also be provided if it's required by any learners.</p><p>The Professional Functional Skills Maths Teacher Bundle is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Professional Functional Skills Maths Teacher bundle course has been created with <strong>twenty-five </strong>premium courses to provide our learners with the best learning experience possible to increase their understanding of their chosen field.</p><p>This Professional Functional Skills Maths Teacher Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into Professional Functional Skills Maths Teacher Elementary modules, allowing our students to grasp each lesson quickly.</p><p>The Professional Functional Skills Maths Teacher course is self-paced and can be taken from the comfort of your home, office, or on the go! With our Student ID card you will get discounts on things like music, food, travel and clothes etc.</p><p><strong>In this exclusive </strong><strong>Professional Functional Skills Maths Teacher </strong><strong>bundle, you really hit the jackpot. Here's what you get:</strong></p><ul><li>Step by step Professional Functional Skills Maths Teacher lessons</li><li>One to one assistance from Professional Functional Skills Maths Teacherprofessionals if you need it</li><li>Innovative exams to test your knowledge after the Professional Functional Skills Maths Teachercourse</li><li>24/7 customer support should you encounter any hiccups</li><li>Top-class learning portal</li><li>Unlimited lifetime access to all twenty-five Professional Functional Skills Maths Teacher courses</li><li>Digital Certificate, Transcript and student ID are all included in the price</li><li>PDF certificate immediately after passing</li><li>Original copies of your Professional Functional Skills Maths Teacher certificate and transcript on the next working day</li><li>Easily learn the Professional Functional Skills Maths Teacher skills and knowledge you want from the comfort of your home</li></ul> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        250 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>Professional Functional Skills Maths Teacher </strong>training is suitable for -</p><ul><li>Students</li><li>Recent graduates</li><li>Job Seekers</li><li>Individuals who are already employed in the relevant sectors and wish to enhance their knowledge and expertise in Professional Functional Skills Maths Teacher</li></ul><p>This course is suitable for anyone interested to further progress there career in:</p><ul><li>IGCSE Maths</li><li>A-Level Maths</li><li>Functional Skills Qualification in Maths at Level 2</li><li>Functional Skills Qualification in Mathematics at Level 2 - GCSE Equivalent for Maths</li><li>A-level Mathematics</li><li>Functional Skills Qualification in Mathematics at Entry 1</li><li>Functional Skills Qualification in Mathematics at Level 1</li><li>Functional Skills Qualification in English at Entry 1</li><li>Functional Skills Qualification in English at Entry 2</li><li>Functional Skills Qualification in English at Level 1</li><li>Functional Skills Qualification in ICT at Level 2</li><li>Functional Skills Qualification in Information &amp; Communication Technology (ICT) at Level 1</li></ul>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>To participate in this <strong>Professional Functional Skills Maths Teacher </strong>course, all you need is -</p><ul><li>A smart device</li><li>A secure internet connection</li><li>And a keen interest in Professional Functional Skills Maths Teacher</li></ul>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>You will be able to kickstart your <strong>Professional Functional Skills Maths Teacher </strong>career because this course includes various courses as a bonus. This Professional Functional Skills Maths Teacher is an excellent opportunity for you to learn multiple skills from the convenience of your own home and explore Professional Functional Skills Maths Teacher career opportunities.</p>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Accredited Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
            <div><ul><li>CPD Accredited e-Certificate - Free</li><li>CPD Accredited Hardcopy Certificate - Free</li><li>Enrolment Letter - Free</li><li>Student ID Card - Free</li></ul></div>

                        </div>

Studyhub UK

Certificate in Further Education & Training (Cert Ed)

Higher Maths

Maths Teacher

Professional Skills Course (PSC)

Trainers Course

Diploma in Professional Studies (DPS)

Professional Functional Skills Maths Teacher - Advanced Diploma

General Admission

<p><strong>24 Hour Flash Deal **25-in-1 </strong><strong>IT Skills Proficiency: Mastering Information Technology </strong><strong>Mega Bundle**</strong></p><p><strong> </strong><strong>IT Skills Proficiency: Mastering Information Technology </strong><strong>Enrolment Gifts  **FREE PDF Certificate**FREE PDF Transcript ** FREE Exam** FREE Student ID ** Lifetime Access **FREE Enrolment Letter **</strong></p><p>Take the initial steps toward a successful long-term career by studying the <strong>IT Skills Proficiency: Mastering Information Technology</strong> package online with <strong>Studyhub </strong>through our online learning platform. The IT Skills Proficiency: Mastering Information Technology bundle can help you improve your CV, wow potential employers, and differentiate yourself from the mass.</p><p>This <strong>IT Skills Proficiency: Mastering Information Technology </strong>course provides complete 360-degree training on IT Skills Proficiency: Mastering Information Technology. You'll get not one, not two, not three, but <strong>twenty-five </strong>IT Skills Proficiency: Mastering Information Technology courses included in this course. Plus Studyhub's signature <strong>Forever Access</strong> is given as always, meaning these IT Skills Proficiency: Mastering Information Technology courses are yours for as long as you want them once you enrol in this course</p><p><strong>This IT Skills Proficiency: Mastering Information Technology Bundle consists the following career oriented courses:</strong></p><ul><li>Course 01: Foundations of IT Security: Protecting Digital Assets</li><li>Course 02: Cyber Security Awareness Training</li><li>Course 03: Cyber Security Incident Handling and Incident Response</li><li>Course 04: Computer Networks Security from Scratch to Advanced</li><li>Course 05: Python Basic Programming for Absolute Beginners</li><li>Course 06: SQL for Data Science, Data Analytics and Data Visualization</li><li>Course 07: AutoCAD VBA Programming - Beginner course</li><li>Course 08: ASP.Net MVC and Entity Framework</li><li>Course 09: Web Application Penetration Testing</li><li>Course 10: Learn MySQL from Scratch</li><li>Course 11: PHP Web Development with MySQL</li><li>Course 12: Learn Spring &amp; Angular Material with a Full Web Application</li><li>Course 13: JavaScript Foundations</li><li>Course 14: jQuery Masterclass Course: JavaScript and AJAX Coding Bible</li><li>Course 15: Responsive Web Design</li><li>Course 16: HTML and CSS Coding: Beginner to Advanced</li><li>Course 17: CSS Fundamentals</li><li>Course 18: Basic HTML 5</li><li>Course 19: Build Progressive Web Apps with Angular</li><li>Course 20: Info Graphics Web Design - Affinity Designer Training</li><li>Course 21: Web Design with Adobe XD</li><li>Course 22: Digital Art - Sketching In Photoshop</li><li>Course 23: Microsoft Excel Complete Course 2019</li><li>Course 24: Excel: Top 50 Microsoft Excel Formulas in 50 Minutes!</li><li>Course 25: Microsoft PowerPoint for Beginners</li></ul> <p>The <strong>IT Skills Proficiency: Mastering Information Technology </strong>course has been prepared by focusing largely on IT Skills Proficiency: Mastering Information Technology career readiness. It has been designed by our IT Skills Proficiency: Mastering Information Technology specialists in a manner that you will be likely to find yourself head and shoulders above the others. For better learning, one to one assistance will also be provided if it's required by any learners.</p><p>The IT Skills Proficiency: Mastering Information Technology Bundle is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This IT Skills Proficiency: Mastering Information Technology bundle course has been created with <strong>twenty-five </strong>premium courses to provide our learners with the best learning experience possible to increase their understanding of their chosen field.</p><p>This IT Skills Proficiency: Mastering Information Technology Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into IT Skills Proficiency: Mastering Information Technology Elementary modules, allowing our students to grasp each lesson quickly.</p><p>The IT Skills Proficiency: Mastering Information Technology course is self-paced and can be taken from the comfort of your home, office, or on the go! With our Student ID card you will get discounts on things like music, food, travel and clothes etc.</p><p><strong>In this exclusive </strong><strong>IT Skills Proficiency: Mastering Information Technology </strong><strong>bundle, you really hit the jackpot. Here's what you get:</strong></p><ul><li>Step by step IT Skills Proficiency: Mastering Information Technology lessons</li><li>One to one assistance from IT Skills Proficiency: Mastering Information Technologyprofessionals if you need it</li><li>Innovative exams to test your knowledge after the IT Skills Proficiency: Mastering Information Technologycourse</li><li>24/7 customer support should you encounter any hiccups</li><li>Top-class learning portal</li><li>Unlimited lifetime access to all twenty-five IT Skills Proficiency: Mastering Information Technology courses</li><li>Digital Certificate, Transcript and student ID are all included in the price</li><li>PDF certificate immediately after passing</li><li>Original copies of your IT Skills Proficiency: Mastering Information Technology certificate and transcript on the next working day</li><li>Easily learn the IT Skills Proficiency: Mastering Information Technology skills and knowledge you want from the comfort of your home</li></ul> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        250 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>IT Skills Proficiency: Mastering Information Technology </strong>training is suitable for -</p><ul><li>Students</li><li>Recent graduates</li><li>Job Seekers</li><li>Individuals who are already employed in the relevant sectors and wish to enhance their knowledge and expertise in IT Skills Proficiency: Mastering Information Technology</li></ul><p>Progression:</p><ul><li>BCS Level 1 Award in IT User Skills (ECDL Essentials) (ITQ)</li><li>BCS Level 2 Certificate in IT User Skills (ECDL Core)</li><li>BCS Level 2 Certificate in IT User Skills (ECDL Extra) (ITQ)</li><li>BCS Level 2 ECDL Award in IT User Skills</li><li>BCS Level 2 ECDL Certificate in IT User Skills</li><li>BCS Level 3 Certificate in IT User Skills (ICDL Advanced) (ITQ)</li><li>NCFE Level 3 Diploma in Skills for Business: IT</li></ul>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>To participate in this <strong>IT Skills Proficiency: Mastering Information Technology </strong>course, all you need is -</p><ul><li>A smart device</li><li>A secure internet connection</li><li>And a keen interest in IT Skills Proficiency: Mastering Information Technology</li></ul>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>You will be able to kickstart your <strong>IT Skills Proficiency: Mastering Information Technology </strong>career because this course includes various courses as a bonus. This IT Skills Proficiency bundle is an excellent opportunity for you to learn multiple skills from the convenience of your own home and explore IT Skills Proficiency: Mastering Information Technology career opportunities.</p>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Accredited Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
            <div><ul><li>CPD Accredited e-Certificate - Free</li><li>CPD Accredited Hardcopy Certificate - Free</li><li>Enrolment Letter - Free</li><li>Student ID Card - Free</li></ul></div>

                        </div>

Computing Skills

IT Certifications

IT Skills

Computer Skills

Digital Skills

ICDL (International Certification of Digital Literacy)

Basic IT Skills Proficiency: Mastering Information Technology

<div id="course-pills-1">Duration<p>3 Days</p><p>18 CPD hours</p>This course is intended for<p>This course is designed primarily for network and software engineers who are interested in learning about automation and programmability and hold the following job roles:<br />Network engineer<br />Systems engineer<br />Wireless engineer<br />Consulting systems engineer<br />Technical solutions architect<br />Network administrator<br />Wireless design engineer<br />Network manager<br />Sales engineer<br />Account manager</p>Overview<p>Upon completing this course, the learner will be able to meet these overall objectives:<br />Get familiar with different API styles (REST, RPC) and synchronous and asynchronous API requests<br />Learn how to use Postman software development tool in order to test the API calls<br />Learn how to automate repetitive tasks using Ansible automation engine<br />Explore a Python programming language, Python libraries and Python virtual environments and learn how can they be used for automation of network configuration tasks<br />Get introduced to GIT version control system and its common operations<br />Learn how to leverage the various models and APIs of the Cisco IOS XE platform to perform day-zero operations, improve troubleshooting methodologies with custom tools, augment the CLI using scripts, and integrate various workflows using Ansible and Python<br />Learn about the paradigm shift of model-driven telemetry and the building blocks of a working solution<br />Learn how to leverage the tools and APIs to automate Cisco DNA infrastructure managed by Cisco DNA Centerâ¢<br />Demonstrate workflows (configuration, verification, health checking, and monitoring) using Python, Ansible, and Postman<br />Understand Cisco SD-WAN solution components, implement a Python library that works with the Cisco SD-WAN APIs to perform configuration, inventory management, and monitoring tasks, and implement reusable Ansible roles to automate provisioning new branch sites on an existing Cisco SD-WAN infrastructure<br />Learn how to leverage the tools and APIs to automate Cisco Meraki managed infrastructure and demonstrate workflows (configuration, verification, health checking, monitoring) using Python, Ansible, and Postman</p><p>Implementing Automation for Cisco Enterprise Solutions (ENAUI) v.1.2 teaches you how to implement Cisco Enterprise automated solutions, including programming concepts, orchestration, telemetry, and automation tools. This course highlights the tools and the benefits of leveraging programmability and automation in the Cisco-powered Enterprise Campus and WAN. You will also examine platforms including IOS XE software for device-centric automation, Cisco DNA Center for the intent-based enterprise network, Cisco Software-Defined WAN, and Cisco Meraki. Their current ecosystem of APIs, software development toolkits, and relevant workflows are studied in detail together with open industry standards, tools, and APIs, such as Python, Ansible, Git, JSON/YAML, NETCONF/RESTCONF, and YANG. The course qualifies for 24 Cisco Continuing Education credits (CE) towards recertification. This course will help you:Gain high-demand skills using modern programming languages, APIs, and systems such as Python, Ansible, and Git to automate, streamline, and enhance business operationsAcquire the skills and knowledge to customize tools, methods, and processes that improve network performance and agilityPrepare for the 300-435 ENAUTO exam</p></div><div id="course-pills-2"><h4>Course Outline </h4><ul><li>Network Programmability Foundation</li><li>Automating APIs and Protocols</li><li>Managing Configuration with Python and Ansible</li><li>Implementing On-Box Programmability and Automation with Cisco IOS XE Software</li><li>Implementing Model-Driven Telemetry</li><li>Day 0 Provisioning with Cisco IOS-XE Software</li><li>Implementing Automation in Enterprise Networks</li><li>Building Cisco DNA Center Automation with Python</li><li>Automating Operations using Cisco DNA Center</li><li>Introducing Cisco SD-WAN Programmability</li><li>Building Cisco SD-WAN Automation with Python</li><li>Building Cisco SD-WAN Automation with Ansible</li><li>Automating Cisco Meraki</li><li>Implementing Meraki Integration APIs</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Cisco Implementing Automation for Cisco Enterprise Solutions v1.2 (ENAUI) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the Cisco Implementing Automation for Cisco Enterprise Solutions v1.2 (ENAUI) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Nexus Human

Cisco Certified Network Associate (CCNA)

Cisco Certified Network Professional certification (CCNP)

CompTIA Network+

Cisco Certified Entry Networking Technician (CCENT)

Cisco Certified Internetwork Expert (CCIE)

Cisco Implementing Automation for Cisco Enterprise Solutions v1.2 (ENAUI)

<p><strong>24 Hours Left! Don't Let Year-End Deals Slip Away - Enrol Now!</strong></p><p>Are you tired of being stuck in a job that doesn't pay you what you're worth? Are you ready to take your career to the next level? As a Business Intelligence Analyst, you can earn an average salary of £30,000 to £60,000 per year in the UK.</p><p>Our Business Intelligence Analyst bundle is designed to equip you with the skills and knowledge you need to succeed in this lucrative field. The bundle includes a QLS-endorsed course, which comes with a free hardcopy certificate, as well as ten additional courses that are CPD-QS accredited.</p><p>With our training, you'll learn everything from business data analysis to strategic business planning, financial analysis to investment, and marketing to research methods in business. By the end of the bundle, you'll have a comprehensive understanding of the business intelligence and data analysis industry, giving you a competitive edge in the job market.</p><p>Don't let another year go by without reaching your full potential. Invest in your future with our Business Intelligence Analyst bundle and start earning the salary you deserve. Enrol now and take the first step towards your dream career!</p><p><strong>10 Premium Additional CPD QS Accredited Courses -</strong></p><ul><li><strong>Course 01: </strong>Business Data Analysis</li><li><strong>Course 02: </strong>Business Intelligence and Data Mining Diploma</li><li><strong>Course 03: </strong>Research Methods in Business</li><li><strong>Course 04: </strong>Business Analyst: Project Management Techniques</li><li><strong>Course 05: </strong>Strategic Business Planning</li><li><strong>Course 06: </strong>Make Business Plans: Forecasting and Budgeting</li><li><strong>Course 07: </strong>Online Financial Modelling Training</li><li><strong>Course 08: </strong>Financial Analysis Course</li><li><strong>Course 09: </strong>Investment</li><li><strong>Course 10: </strong>Marketing Course</li></ul><p><strong>Why Prefer This </strong><strong>Business Intelligence Analyst</strong><strong> Bundle?</strong></p><ul><li>You will receive a completely free certificate from the Quality Licence Scheme</li><li>Option to purchase 10 additional certificates accredited by CPD</li><li>Get a free Student ID Card - (£10 postal charges will be applicable for international delivery)</li><li>Free assessments and immediate success results</li><li>24/7 Tutor Support</li></ul> <ul><li><strong>Module-01: </strong>An Introduction to Business Intelligence</li><li><strong>Module-02: </strong>Real-time Business Intelligence</li><li><strong>Module-03: </strong>Fundamentals of Statistics and Data Science</li><li><strong>Module-04:</strong> Fundamentals of SQL</li><li><strong>Module-05:</strong> Database Management Essentials</li><li><strong>Module-06: </strong>Data Warehouse Concepts</li><li><strong>Module-07:</strong> Data Visualisation in Business Intelligence</li><li><strong>Module-08: </strong>Basics of Python</li></ul><p><strong>How is the </strong><strong>Business Intelligence Analyst</strong><strong>Bundle Assessment Process?</strong></p><p>You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment.</p><p>You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you successfully pass the exams.</p> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        250 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>Professionals looking to enhance their skills in business intelligence and data analysis.</li><li>Individuals interested in a career as a Business Intelligence Analyst.</li><li>Graduates looking to enter the business intelligence and data analysis industry</li></ul>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Our courses will prepare you for a range of careers, including:</p><ul><li>Junior Business Intelligence Analyst: £25,000 to £35,000 per year</li><li>Business Intelligence Analyst: £40,000 to £60,000 per year</li><li>Financial Analyst: £30,000 to £60,000 per year</li></ul>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD QS Accredited Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
            <div><p>Upon successfully completing the Bundle, you will need to place an order to receive a PDF Certificate for each course within the bundle. These certificates serve as proof of your newly acquired skills, accredited by CPD QS. Also, the certificates are recognised throughout the UK and internationally.</p></div>
        <h4>CPD QS Accredited Certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div><p>International students are subject to a £10 delivery fee for their orders, based on their location.</p></div>
        <h4>Diploma in Business Intelligence Analyst at QLS Level 5</h4>
        <p>
            Hard copy certificate -
            Included
        </p>

                        </div>

Academy for Health and Fitness

Business Intelligence Analyst Diploma - CPD Certified

<strong>Develop the most in-demand skills for DevOps and cloud professionals</strong>
        <p>Most businesses are now migrating to Cloud and other cloud-related technologies, making Linux command line expertise a must-have skill for DevOps and cloud engineers. This course will teach you the fundamentals of the Linux command line through an enjoyable learning experience. It includes some interesting videos that will guide you in setting up your own Linux VM and a Linux EC2 instance in the AWS cloud.

This hands-on course will help you master the Linux command line with bite-sized videos that guide you at every step. You'll learn to work with files and folders, understand the Linux filesystem layout, and navigate through the filesystem efficiently. You'll get to grips with topics such as Linux permissions, hard and soft links, and text processing commands. As you advance, you'll cover standard I/O and redirection and learn to compress and uncompress files and folders. 

The course will also take you through sudo, Vi editor, scheduling jobs using cron, customizing a bash environment, and much more!

All the codes and supporting files for this course will be available at- https://github.com/PacktPublishing/Mastering-Linux-Command-Line</p>
        <h2>What You Will Learn</h2><p>Understand the Linux command line from the bottom up<br>Explore the Linux filesystem and navigation<br>Work with file attributes and permissions<br>Learn Vi Editor and its practical uses<br>Use cron to schedule tasks<br>Work efficiently with different text processing commands<br>Create your own AWS Linux EC2 instance for practice</p>
        <h2>Audience</h2><p>This course is for beginners as well as experts looking for a refresher!</p>
        <h2>Approach</h2><p>Every topic is broken down into easy steps to help you get well-versed with what you're learning.</p>
        <h2>Key Features</h2><p>Learn the Linux command line from scratch * Browse the Linux filesystem efficiently * Create your own commands to save time</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/mastering-linux-command-line</p>
        <h2>About the Author</h2><h3>Coding Gears | Train Your Brain</h3><p>GlobalETraining (brand name - CodingGears) offers self-paced technical courses and makes them easy to learn.

They have been in the IT training business for many years, offering training courses in Unix, Windows, C#, Java, Python programming, SQL server, manual testing, automation, and so on. Their instructors have 20+ years of experience in various technical areas such as software development, software testing, Windows systems, and network administration, Unix/Linux systems and network administration, virtualization technologies, storage, shell scripting, database management systems (MS SQL Server, MySQL, IBM DB2, Cassandra), containerization (Dockers), Mesos, Marathon, Jenkins, Jira, Elastic Cloud Storage (ECS), Gluster file system, CoreOS, Ansible, and other areas.

CodingGears/GlobalETraining has mentored thousands of students for over a decade and has extensive experience in delivering training-both in-class and online.</p>
        <h2>Course Outline</h2><h4>1. Level "0"</h4><p></p><br><h4>2. Getting Started</h4><p></p><br><h4>3. Understanding Linux File System</h4><p></p><br><h4>4. Working with Directories & Files</h4><p></p><br><h4>5. Standard I/O & Redirection</h4><p></p><br><h4>6. Users, Groups & Switching User</h4><p></p><br><h4>7. File Attributes and Permissions</h4><p></p><br><h4>8. Editing Files using "vi" editor</h4><p></p><br><h4>9. Regular Expressions</h4><p></p><br><h4>10. Text Processing - Filters & Searching</h4><p></p><br><h4>11. Understanding Links (Hard & Soft/Symbolic)</h4><p></p><br><h4>12. The Process</h4><p></p><br><h4>13. Scheduling Jobs</h4><p></p><br><h4>14. Handy Tools/Utilities</h4><p></p><br><h4>15. Connecting to Linux Systems</h4><p></p><br><h4>16. Customizing Shell Environment</h4><p></p><br><h4>17. Shell Scripting Basics</h4><p></p><br><h4>18. Appendix & Miscellaneous</h4><p></p><br><h4>19. Test Your Knowledge</h4><p></p><br><h4>20. Conclusion</h4><p></p>

Packt

Linux Command Line

Linux

Develop the most in-demand skills for DevOps and cloud professionals

Mastering Linux Command Line

Web Development

Python

Prepare for the AWS Certified Solutions Architect - Associate (SAA-C03) exam. Learn about the AWS Management Console, S3 buckets, instances, database services, cloud security, costs associated with AWS, Amazon Elastic Compute Cloud (EC2), Amazon Virtual Private Cloud (VPC), Amazon Simple Storage Service (S3), and Amazon Elastic Block Store (EBS).

AWS Certified Solutions Architect Associate (SAA-C03)

<strong>Programming for Android and JavaScript made easy with the Kotlin language</strong>
        <p>Google is now officially supporting Kotlin in Android development, with the platform recently announcing that it considers the language ideal for Android app developers. Moreover, Kotlin makes it easier to work with JavaScript.  

In this course, you'll explore a fun and exciting way to learn this language, particularly if you're a beginner. However, experienced programmers will also find this course enriching.  

If you're just getting started with Kotlin, a dedicated section takes you through Kotlin fundamentals step-by-step. If you already have previous programming experience, you can benefit from the exclusive section titled 'Kotlin for Programmers'. 

You'll gain hands-on experience by working through projects. The course will guide you through developing two Android apps and a command-line tool. You'll even get to grips with creating JavaScript for a website. While exploring further sections, you'll encounter challenges that will test your new skills and make sure you're getting the most out of this course. 

By the end of this course, you will be well-versed in Kotlin and have the skills you need to build Android apps, create JavaScript, and much more.</p>
        <h2>What You Will Learn</h2><p>Build a command-line tool <br>Create JavaScript code from Kotlin</p>
        <h2>Audience</h2><p>This course is for beginners or anyone who wants to learn Kotlin, and develop JavaScript and Android apps.</p>
        <h2>Approach</h2><p>This course follows a practical approach, with each section covering a new scenario. You'll be able to learn the concepts and techniques effectively in a step-by-step manner.</p>
        <h2>Key Features</h2><p>Learn Kotlin from the ground up * Create two fully functional Android apps</p>
        
        <h2>About the Author</h2><h3>Codestars By Rob Percival</h3><p>Rob Percival is a highly regarded web developer and Udemy instructor with over 1.7 million students. Over 500,000 of them have taken Rob's Complete Web Developer Course 2.0, as well as his Android Developer and iOS Developer courses.</p><br><h3>Nick Walter</h3><p>Nick Walter is an experienced mobile and web developer and has worked with technologies such as iOS, Android, Django, and Python.

He learned to code about seven years ago. He had limited access to training resources back then. Whilst he learned to code, he also realized the need to change the way that people learn to code. That's when Nick took up teaching. His experience as an online student has definitely influenced his teaching style-he knows what it is like to be in their shoes.

He started his teaching career in 2014, with the Internet's first Swift course. He now teaches a range of technologies such as iOS, Android, Django, Kotlin, Python, HTML, and Blockchain.</p>
        <h2>Course Outline</h2><h4>1. Welcome and Setup</h4><p>This section welcomes the course.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Welcome and Download</p><p style='margin: 0'>Welcome and Setup: Welcome and Download</p></td></tr><tr><td style='padding: 15px;'><p>2. Get the Most out of This Course</p><p style='margin: 0'>Welcome and Setup: Get the Most out of This Course</p></td></tr><tr><td style='padding: 15px;'><p>3. Our First Line of Kotlin Code</p><p style='margin: 0'>Welcome and Setup: Our First Line of Kotlin Code</p></td></tr></tbody></table><br><h4>2. Kotlin for Beginners</h4><p>This section explains about Kotlin for beginners. This includes lectures on Variables, Strings and Integers, Math and Comments etc.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Intro</p><p style='margin: 0'>Kotlin for Beginners: Intro</p></td></tr><tr><td style='padding: 15px;'><p>2. Variables</p><p style='margin: 0'>Kotlin for Beginners: Variables</p></td></tr><tr><td style='padding: 15px;'><p>3. Strings and Integers</p><p style='margin: 0'>Kotlin for Beginners: Strings and Integers</p></td></tr><tr><td style='padding: 15px;'><p>4. Math and Comments</p><p style='margin: 0'>Kotlin for Beginners: Math and Comments</p></td></tr><tr><td style='padding: 15px;'><p>5. If Statements and Booleans</p><p style='margin: 0'>Kotlin for Beginners: If Statements and Booleans</p></td></tr><tr><td style='padding: 15px;'><p>6. Lists and Arrays</p><p style='margin: 0'>Kotlin for Beginners: Lists and Arrays</p></td></tr><tr><td style='padding: 15px;'><p>7. For Loops</p><p style='margin: 0'>Kotlin for Beginners: For Loops</p></td></tr><tr><td style='padding: 15px;'><p>8. Maps</p><p style='margin: 0'>Kotlin for Beginners: Maps</p></td></tr><tr><td style='padding: 15px;'><p>9. Functions</p><p style='margin: 0'>Kotlin for Beginners: Functions</p></td></tr><tr><td style='padding: 15px;'><p>10. Classes</p><p style='margin: 0'>Kotlin for Beginners: Classes</p></td></tr><tr><td style='padding: 15px;'><p>11. Class Functions</p><p style='margin: 0'>Kotlin for Beginners: Class Functions</p></td></tr></tbody></table><br><h4>3. Making an Android App with Kotlin - The Resume</h4><p>This section is about Making an Android App with Kotlin. This includes lectures on Android Studio, Layout, Images etc.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Intro</p><p style='margin: 0'>Making an Android App with Kotlin - The Resume: Intro</p></td></tr><tr><td style='padding: 15px;'><p>2. Android Studio</p><p style='margin: 0'>Making an Android App with Kotlin - The Resume: Android Studio</p></td></tr><tr><td style='padding: 15px;'><p>3. Layout</p><p style='margin: 0'>Making an Android App with Kotlin - The Resume: Layout</p></td></tr><tr><td style='padding: 15px;'><p>4. Images</p><p style='margin: 0'>Making an Android App with Kotlin - The Resume: Images</p></td></tr><tr><td style='padding: 15px;'><p>5. New Activity</p><p style='margin: 0'>Making an Android App with Kotlin - The Resume: New Activity</p></td></tr><tr><td style='padding: 15px;'><p>6. Scroll View</p><p style='margin: 0'>Making an Android App with Kotlin - The Resume: Scroll View</p></td></tr><tr><td style='padding: 15px;'><p>7. Call and Email</p><p style='margin: 0'>Making an Android App with Kotlin - The Resume: Call and Email</p></td></tr></tbody></table><br><h4>4. Advanced Android App - Weather</h4><p>This section is about Advanced Android App-Weather.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Intro</p><p style='margin: 0'>Advanced Android App - Weather: Intro</p></td></tr><tr><td style='padding: 15px;'><p>2. Sketch</p><p style='margin: 0'>Advanced Android App - Weather: Sketch</p></td></tr><tr><td style='padding: 15px;'><p>3. Constraint Layout</p><p style='margin: 0'>Advanced Android App - Weather: Constraint Layout</p></td></tr><tr><td style='padding: 15px;'><p>4. Images</p><p style='margin: 0'>Advanced Android App - Weather: Images</p></td></tr><tr><td style='padding: 15px;'><p>5. ListViews</p><p style='margin: 0'>Advanced Android App - Weather: ListViews</p></td></tr><tr><td style='padding: 15px;'><p>6. Weather APIs</p><p style='margin: 0'>Advanced Android App - Weather: Weather APIs</p></td></tr><tr><td style='padding: 15px;'><p>7. RetroFit</p><p style='margin: 0'>Advanced Android App - Weather: RetroFit</p></td></tr><tr><td style='padding: 15px;'><p>8. Nullable</p><p style='margin: 0'>Advanced Android App - Weather: Nullable</p></td></tr><tr><td style='padding: 15px;'><p>9. Looping Through Forecasts</p><p style='margin: 0'>Advanced Android App - Weather: Looping Through Forecasts</p></td></tr><tr><td style='padding: 15px;'><p>10. Search Term</p><p style='margin: 0'>Advanced Android App - Weather: Search Term</p></td></tr></tbody></table><br><h4>5. Building a Command Line Tool with Kotlin</h4><p>This section explains how to build Command Line Tool with Kotlin. You will learn about Sketch and Planning, WordMap, Sorting Words, Read a File etc.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Intro</p><p style='margin: 0'>Building a Command Line Tool with Kotlin: Intro</p></td></tr><tr><td style='padding: 15px;'><p>2. Sketch and Planning</p><p style='margin: 0'>Building a Command Line Tool with Kotlin: Sketch and Planning</p></td></tr><tr><td style='padding: 15px;'><p>3. WordMap</p><p style='margin: 0'>Building a Command Line Tool with Kotlin: WordMap</p></td></tr><tr><td style='padding: 15px;'><p>4. Sorting Words</p><p style='margin: 0'>Building a Command Line Tool with Kotlin: Sorting Words</p></td></tr><tr><td style='padding: 15px;'><p>5. Read A File</p><p style='margin: 0'>Building a Command Line Tool with Kotlin: Read A File</p></td></tr><tr><td style='padding: 15px;'><p>6. Command Line</p><p style='margin: 0'>Building a Command Line Tool with Kotlin: Command Line</p></td></tr></tbody></table><br><h4>6. Javascript and Kotlin</h4><p>Learn about JavaScript and Kotlin here.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Intro</p><p style='margin: 0'>Javascript and Kotlin: Intro</p></td></tr><tr><td style='padding: 15px;'><p>2. JavaScript Build</p><p style='margin: 0'>Javascript and Kotlin: JavaScript Build</p></td></tr><tr><td style='padding: 15px;'><p>3. Reusing Code</p><p style='margin: 0'>Javascript and Kotlin: Reusing Code</p></td></tr><tr><td style='padding: 15px;'><p>4. List Items</p><p style='margin: 0'>Javascript and Kotlin: List Items</p></td></tr></tbody></table><br><h4>7. Kotlin for Programmers</h4><p>This section explains about Kotlin for Programmers in detail. This has lectures on Variables, Strings and Ints, Math and Comments, If statements and Booleans etc.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Intro</p><p style='margin: 0'>Kotlin for Programmers: Intro</p></td></tr><tr><td style='padding: 15px;'><p>2. Variables, Strings, and Ints</p><p style='margin: 0'>Kotlin for Programmers: Variables, Strings, and Ints</p></td></tr><tr><td style='padding: 15px;'><p>3. Math and Comments</p><p style='margin: 0'>Kotlin for Programmers: Math and Comments</p></td></tr><tr><td style='padding: 15px;'><p>4. If Statements and Booleans</p><p style='margin: 0'>Kotlin for Programmers: If Statements and Booleans</p></td></tr><tr><td style='padding: 15px;'><p>5. Lists and Arrays</p><p style='margin: 0'>Kotlin for Programmers: Lists and Arrays</p></td></tr><tr><td style='padding: 15px;'><p>6. For Loops</p><p style='margin: 0'>Kotlin for Programmers: For Loops</p></td></tr><tr><td style='padding: 15px;'><p>7. Maps</p><p style='margin: 0'>Kotlin for Programmers: Maps</p></td></tr><tr><td style='padding: 15px;'><p>8. Functions</p><p style='margin: 0'>Kotlin for Programmers: Functions</p></td></tr><tr><td style='padding: 15px;'><p>9. Classes</p><p style='margin: 0'>Kotlin for Programmers: Classes</p></td></tr><tr><td style='padding: 15px;'><p>10. Nullable</p><p style='margin: 0'>Kotlin for Programmers: Nullable</p></td></tr><tr><td style='padding: 15px;'><p>11. Kotlin and Java</p><p style='margin: 0'>Kotlin for Programmers: Kotlin and Java</p></td></tr></tbody></table><br><h4>8. BONUS: ToDo List Android App</h4><p>This section shows to create ToDo List Android App</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Intro</p><p style='margin: 0'>BONUS: ToDo List Android App: Intro</p></td></tr><tr><td style='padding: 15px;'><p>2. Sketch</p><p style='margin: 0'>BONUS: ToDo List Android App: Sketch</p></td></tr><tr><td style='padding: 15px;'><p>3. Floating Action Button</p><p style='margin: 0'>BONUS: ToDo List Android App: Floating Action Button</p></td></tr><tr><td style='padding: 15px;'><p>4. Realm</p><p style='margin: 0'>BONUS: ToDo List Android App: Realm</p></td></tr><tr><td style='padding: 15px;'><p>5. Saving ToDo Items</p><p style='margin: 0'>BONUS: ToDo List Android App: Saving ToDo Items</p></td></tr><tr><td style='padding: 15px;'><p>6. ListView</p><p style='margin: 0'>BONUS: ToDo List Android App: ListView</p></td></tr><tr><td style='padding: 15px;'><p>7. Completing ToDos</p><p style='margin: 0'>BONUS: ToDo List Android App: Completing ToDos</p></td></tr><tr><td style='padding: 15px;'><p>8. Bold</p><p style='margin: 0'>BONUS: ToDo List Android App: Bold</p></td></tr></tbody></table><br><h4>9. BONUS: Find Repo Android App</h4><p>This explains to create Find Repo Android App.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Intro</p><p style='margin: 0'>BONUS: Find Repo Android App: Intro</p></td></tr><tr><td style='padding: 15px;'><p>2. Activities</p><p style='margin: 0'>BONUS: Find Repo Android App: Activities</p></td></tr><tr><td style='padding: 15px;'><p>3. GitHub API</p><p style='margin: 0'>BONUS: Find Repo Android App: GitHub API</p></td></tr><tr><td style='padding: 15px;'><p>4. Custom ListView Rows</p><p style='margin: 0'>BONUS: Find Repo Android App: Custom ListView Rows</p></td></tr><tr><td style='padding: 15px;'><p>5. Downloading Images</p><p style='margin: 0'>BONUS: Find Repo Android App: Downloading Images</p></td></tr><tr><td style='padding: 15px;'><p>6. User Repos</p><p style='margin: 0'>BONUS: Find Repo Android App: User Repos</p></td></tr></tbody></table>

Kotlin

Programming

Programming for Android and JavaScript made easy with the Kotlin language

The Complete Kotlin Developer Course

<strong>Learn to make interactive apps using Swift 4.2 and Xcode 10 and have your own applications in the App Store in just 10 days</strong>
        <p>Looking to get started with creating fun and interactive apps? This course will equip you with the skills you need to create an app and submit it to the App Store in just 10 days. 

While other courses offer 40+ hours of video content, this quick and engaging course keeps it simple and manageable for beginners. On June 4 2018, Apple announced iOS 12, and the course is based on this latest version.  

Following a step-by-step approach, you will use Swift 4 and Xcode 10 to create exciting iOS 12 apps. 

Your ten-day schedule will look like this: 

&bull; Day 1 - Exploring the basics, such as writing your first line of Swift and getting started with Xcode 

&bull; Day 2 - Delving further into Swift and creating a Tip Calculator  

&bull; Day 3 - Learning about Table Views while creating an app to remember jokes - the Joke Bank app 

&bull; Day 4 - Understanding advanced Swift functions, classes, and methods and applying these skills to the Joke Bank App 

&bull; Day 5 - Creating a functional To-Do List app 

&bull; Day 6 - Adding Core Data to your To-Do app to save your items 

&bull; Day 7 - Adding images to an app and allowing users to take a photo 

&bull; Day 8 - Making a Bitcoin Price Tracker that connects with an API to display real-time Bitcoin prices 

&bull; Day 9 - Using the new Core ML 2 to learn the basics of machine learning 

&bull; Day 10 - Submitting your app to the App Store and learning how to make money with iOS 

This course can be downloaded easily so you can even use it offline.  

All code and supporting files for this course are available at - https://github.com/PacktPublishing/The-10-Day-iPhone-App-Bootcamp---New-iOS-12-and-Xcode</p>
        <h2>What You Will Learn</h2><p>Submit Your Own App to the App Store!<br>Become a Swift 4 Programmer<br>Industry Tips Such Asas How to Get a Job and Make Money from Your Apps<br>Create a Bitcoin Price Tracking App<br>Create a ToDo List App<br>Create a Joke Bank App<br>Create a Photo-Based Collector App<br>Create an App with Machine Learning</p>
        <h2>Audience</h2><p>This course is for people who want learn to build iPhone apps. Some programming experience is preferable.</p>
        <h2>Approach</h2><p>A comprehensive course packed with step-by-step instructions, working examples, and helpful advice. This course is divided into clear sections so you can learn at your own pace. <br><br>In each video, you'll delve straight into the topic. You'll only focus on the essentials and gain hands-on practice over a 10-day period, with 1-2 hours dedicated to learning each day.</p>
        <h2>Key Features</h2><p>Build real-world apps so that you can easily master the topics we are learning * Discover the essentials of Swift 4.2, Xcode 10 and iOS 12 with hands-on practice to build and publish your apps to the App store * Use Swift 4 and Xcode 10 to create iOS 12 apps in 10 days</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/the-10-day-iphone-app-bootcamp---new-ios-12-and-xcode</p>
        <h2>About the Author</h2><h3>Nick Walter</h3><p>Nick Walter is an experienced mobile and web developer and has worked with technologies such as iOS, Android, Django, and Python.

He learned to code about seven years ago. He had limited access to training resources back then. Whilst he learned to code, he also realized the need to change the way that people learn to code. That's when Nick took up teaching. His experience as an online student has definitely influenced his teaching style-he knows what it is like to be in their shoes.

He started his teaching career in 2014, with the Internet's first Swift course. He now teaches a range of technologies such as iOS, Android, Django, Kotlin, Python, HTML, and Blockchain.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><br><h4>2. DAY 1 - The Fundamentals</h4><p></p><br><h4>3. DAY 2 - More Swift</h4><p></p><br><h4>4. DAY 3 - Joke Bank App</h4><p></p><br><h4>5. DAY 4 - Advanced Swift</h4><p></p><br><h4>6. DAY 5 - ToDo List</h4><p></p><br><h4>7. DAY 6 - CoreData</h4><p></p><br><h4>8. DAY 7 - Images and the Camera</h4><p></p><br><h4>9. DAY 8 - Bitcoin Price Tracker</h4><p></p><br><h4>10. DAY 9 - Machine Learning</h4><p></p><br><h4>11. DAY 10 - App Store and Making Money</h4><p></p>

Swift

Mobile

Bootcamp

iOS Development

Xcode

Learn to make interactive apps using Swift 4.2 and Xcode 10 and have your own applications in the App Store in just 10 days

The 10 Day iPhone App Bootcamp - New iOS 12 and Xcode

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			<h2>Overview
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					<p><span>This comprehensive course on <strong>Data Visualization and Reporting with Power BI</strong></span> will deepen your understanding on this topic.</p>
<p><span><span>After successful completion of this course you can acquire the required skills in this sector. This <strong>Data Visualization and Reporting with Power BI</strong></span> comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market.</span></p>
<p><span><span>So enrol in this course today to fast track your career ladder.</span></span></p>					</div>
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			<h2>How will I get my certificate?</h2>		</div>
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					<p>You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate.<br /></p>					</div>
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			<h2>Who is This course for?</h2>		</div>
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					<p><span>There is no experience or previous qualifications required for enrolment on this <strong>Data Visualization and Reporting with Power BI</strong></span>. It is available to all students, of all academic backgrounds.</p>					</div>
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			<h2>Requirements</h2>		</div>
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					<p><span>Our <strong>Data Visualization and Reporting with Power BI</strong></span> is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G.</p><p><span><span>There is no time limit for completing this course, it can be studied in your own time at your own pace.</span></span></p>					</div>
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			<h2>Career Path</h2>		</div>
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					<p>Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to-</p><ul><li>Open doors of opportunities</li><li>Increase your adaptability</li><li>Keep you relevant</li><li>Boost confidence</li></ul><p>And much more!</p>					</div>
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					</div> <h3>Course Curriculum</h3><div><p>15 sections • 140 lectures • 14:25:00 total length</p></div><div><div><div><div><div><div><div><p>•Welcome!: 00:01:00</p></div><div><div><p>•What is Power BI?: 00:03:00</p></div><div><div><p>•Download &amp; Installing Power BI Desktop: 00:04:00</p></div><div><div><p>•Getting to know the interface: 00:03:00</p></div><div><div><p>•Mini Project: Transform Data: 00:07:00</p></div><div><div><p>•Mini Project: Visualize Data: 00:05:00</p></div><div><div><p>•Mini Project: Creating a Data Model: 00:07:00</p></div><div><div><p>•Course Outline: What will you learn in this course?: 00:05:00</p></div><div><div><p>•How to learn best with this course?: 00:03:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Creating our initial project file: 00:04:00</p></div><div><div><p>•Working with the attached project files: 00:04:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Exploring the Query Editor: 00:06:00</p></div><div><div><p>•Connecting to our data source: 00:07:00</p></div><div><div><p>•Editing rows: 00:08:00</p></div><div><div><p>•Changing data types: 00:08:00</p></div><div><div><p>•Replacing values: 00:03:00</p></div><div><div><p>•Close &amp; Apply: 00:03:00</p></div><div><div><p>•Connecting to a csv file: 00:03:00</p></div><div><div><p>•Connecting to a web page: 00:05:00</p></div><div><div><p>•Extracting characters: 00:06:00</p></div><div><div><p>•Splitting &amp; merging columns: 00:09:00</p></div><div><div><p>•Creating conditional columns: 00:06:00</p></div><div><div><p>•Creating columns from examples: 00:09:00</p></div><div><div><p>•Merging Queries: 00:17:00</p></div><div><div><p>•Pivoting &amp; Unpivoting: 00:06:00</p></div><div><div><p>•Appending Queries: 00:08:00</p></div><div><div><p>•Practice &amp; Solution: Population table: 00:15:00</p></div><div><div><p>•The Fact-Dimension-Model: 00:09:00</p></div><div><div><p>•Practice: Load the dimension table: 00:04:00</p></div><div><div><p>•Organizing our queries in groups: 00:03:00</p></div><div><div><p>•Entering data manually: 00:05:00</p></div><div><div><p>•Creating an index column: 00:03:00</p></div><div><div><p>•Workflow &amp; more transformations: 00:05:00</p></div><div><div><p>•Module summary: 00:05:00</p></div><div><div><p>•Exercise  1 - Instruction: 00:02:00</p></div><div><div><p>•Exercise  1 - Exercise Solution: 00:11:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Advanced Editor - Best practices: 00:09:00</p></div><div><div><p>•Performance: References vs. Duplicating: 00:10:00</p></div><div><div><p>•Performance: Enable / Disable Load &amp; Report Refresh: 00:05:00</p></div><div><div><p>•Group by: 00:05:00</p></div><div><div><p>•Mathematical Operations: 00:05:00</p></div><div><div><p>•Run R Script: 00:15:00</p></div><div><div><p>•Using Parameters to dynamically transform data: 00:06:00</p></div><div><div><p>•M formula language: Basics: 00:07:00</p></div><div><div><p>•M formula language: Values, Lists &amp; Tables: 00:14:00</p></div><div><div><p>•M formula language: Functions: 00:13:00</p></div><div><div><p>•M formula language: More functions &amp; steps: 00:05:00</p></div><div><div><p>•Exercise 2 - Instructions: 00:01:00</p></div><div><div><p>•Exercise 2 - solution: 00:05:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Understanding the relationship: 00:05:00</p></div><div><div><p>•Create &amp; edit relationships: 00:06:00</p></div><div><div><p>•One-to-many &amp; one-to-one relationship: 00:06:00</p></div><div><div><p>•Many-to-many (m:n) relationship: 00:08:00</p></div><div><div><p>•Cross filter direction: 00:06:00</p></div><div><div><p>•Activate &amp; deactivate relationships: 00:06:00</p></div><div><div><p>•Model summary: 00:03:00</p></div><div><div><p>•Exercise 3 Create Model: 00:02:00</p></div><div><div><p>•Exercise 3 Solution: 00:02:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Our first visual: 00:08:00</p></div><div><div><p>•The format tab: 00:12:00</p></div><div><div><p>•Understanding tables: 00:10:00</p></div><div><div><p>•Conditional formatting: 00:09:00</p></div><div><div><p>•The Pie Chart: 00:06:00</p></div><div><div><p>•All about the filter visual: 00:13:00</p></div><div><div><p>•The filter pane for developers: 00:09:00</p></div><div><div><p>•Cross filtering &amp; edit interactions: 00:04:00</p></div><div><div><p>•Syncing slicers across pages: 00:07:00</p></div><div><div><p>•Creating drill downs: 00:08:00</p></div><div><div><p>•Creating drill throughs: 00:07:00</p></div><div><div><p>•The tree map visual: 00:07:00</p></div><div><div><p>•The decomposition tree: 00:05:00</p></div><div><div><p>•Understanding the matrix visual: 00:05:00</p></div><div><div><p>•Editing pages: 00:07:00</p></div><div><div><p>•Buttons &amp; Actions: 00:09:00</p></div><div><div><p>•Bookmarks to customize your report: 00:10:00</p></div><div><div><p>•Analytics and Forecasts with line charts: 00:10:00</p></div><div><div><p>•Working with custom visuals: 00:07:00</p></div><div><div><p>•Get data using R Script &amp; R Script visual: 00:08:00</p></div><div><div><p>•Asking questions - Q&amp;A visual: 00:04:00</p></div><div><div><p>•Wrap up - data visualization: 00:08:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Python in Power BI - Plan of attack: 00:03:00</p></div><div><div><p>•Setting up Python for Power BI: 00:03:00</p></div><div><div><p>•Transforming data using Python: 00:11:00</p></div><div><div><p>•Creating visualizations using Python: 00:08:00</p></div><div><div><p>•Violin plots, pair plots &amp; ridge plots using Python: 00:15:00</p></div><div><div><p>•Machine learning (BayesTextAnalyzer) using Python: 00:00:00</p></div><div><div><p>•Performance &amp; Troubleshooting: 00:03:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Introduction: 00:01:00</p></div><div><div><p>•Show Empathy &amp; Identify the Requirement: 00:03:00</p></div><div><div><p>•Finding the Most Suitable KPI's: 00:02:00</p></div><div><div><p>•Choose an Effective Visualization: 00:04:00</p></div><div><div><p>•Make Use of Natural Reading Pattern: 00:03:00</p></div><div><div><p>•Tell a Story Using Visual Cues: 00:05:00</p></div><div><div><p>•Avoid Chaos &amp; Group Information: 00:02:00</p></div><div><div><p>•Warp Up - Storytelling with Data: 00:02:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Introduction: 00:03:00</p></div><div><div><p>•The project data: 00:04:00</p></div><div><div><p>•Measures vs. Calculated Columns: 00:15:00</p></div><div><div><p>•Automatically creating a date table in DAX: 00:08:00</p></div><div><div><p>•CALENDAR: 00:05:00</p></div><div><div><p>•Creating a complete date table with features: 00:04:00</p></div><div><div><p>•Creating key measure table: 00:03:00</p></div><div><div><p>•Aggregation functions: 00:06:00</p></div><div><div><p>•The different versions of COUNT: 00:14:00</p></div><div><div><p>•SUMX - Row based calculations: 00:09:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•CALCULATE - The basics: 00:11:00</p></div><div><div><p>•Changing the context with FILTER: 00:07:00</p></div><div><div><p>•ALL: 00:08:00</p></div><div><div><p>•ALL SELECTED: 00:03:00</p></div><div><div><p>•ALL EXCEPT: 00:07:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•How to go on now?: 00:03:00</p></div><div><div><p>•Power BI Pro vs Premium &amp; Signing up: 00:04:00</p></div><div><div><p>•Exploring the interface: 00:04:00</p></div><div><div><p>•Discovering your workspace: 00:03:00</p></div><div><div><p>•Connecting Power BI Desktop &amp; Cloud: 00:04:00</p></div><div><div><p>•Understanding datasets &amp; reports: 00:03:00</p></div><div><div><p>•Working on reports: 00:04:00</p></div><div><div><p>•Updating reports from Power BI Desktop: 00:04:00</p></div><div><div><p>•Creating and working with workspaces: 00:07:00</p></div><div><div><p>•Installing &amp; using a data gateway: 00:13:00</p></div><div><div><p>•Get Quick Insights: 00:03:00</p></div><div><div><p>•Creating dashboards: 00:04:00</p></div><div><div><p>•Sharing our results through Apps: 00:10:00</p></div><div><div><p>•Power BI Mobile App: 00:05:00</p></div><div><div><p>•Creating the layout for the Mobile App: 00:04:00</p></div><div><div><p>•Wrap up - Power BI Cloud: 00:07:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Introduction: 00:03:00</p></div><div><div><p>•Creating a Row-Level Security: 00:05:00</p></div><div><div><p>•Row-Level Security in the Cloud: 00:04:00</p></div><div><div><p>•Row-Level Security &amp; Data Model: 00:05:00</p></div><div><div><p>•Dynamic Row-Level Security: 00:07:00</p></div><div><div><p>•Dynamic Many-to-Many RLS: 00:04:00</p></div><div><div><p>•Hierarchical Row-Level Security: 00:13:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•JSON &amp; REST API: 00:10:00</p></div><div><div><p>•Setting up a local MySQL database: 00:14:00</p></div><div><div><p>•Connecting to a MySQL database in Power BI: 00:05:00</p></div><div><div><p>•Connecting to a SQL database (PostgreSQL): 00:05:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Congratulations &amp; next steps: 00:06:00</p></div><div><div><p>•The End: 00:01:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Resources - Data Visualization and Reporting with Power BI: 00:00:00</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>

Apex Learning

Powerbi

Business Analytics & Intelligence

Microsoft Power BI

Data Visualization

Microsoft BI

Data Skills

Data Visualization and Reporting with Power BI

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			<h2>Overview
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					<p><span>This comprehensive course on </span><b><span>Complete Microsoft Power BI 2021</span></b> will deepen your understanding on this topic.</p><p><span><span>After successful completion of this course you can acquire the required skills in this sector. This </span><b>Complete Microsoft Power BI 2021</b> comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market.</span></p><p><span><span>So enrol in this course today to fast track your career ladder.</span></span></p>					</div>
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			<h2>How will I get my certificate?</h2>		</div>
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					<p>You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate.<br /></p>					</div>
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			<h2>Who is This course for?</h2>		</div>
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					<p><span>There is no experience or previous qualifications required for enrolment on this </span><b><span>Complete Microsoft Power BI 2021</span></b>. It is available to all students, of all academic backgrounds.</p>					</div>
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			<h2>Requirements</h2>		</div>
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					<p><span>Our </span><b><span>Complete Microsoft Power BI 2021</span></b> is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G.</p><p><span><span>There is no time limit for completing this course, it can be studied in your own time at your own pace.</span></span></p>					</div>
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					<p>Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to-</p><ul><li>Open doors of opportunities</li><li>Increase your adaptability</li><li>Keep you relevant</li><li>Boost confidence</li></ul><p>And much more!</p>					</div>
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					</div> <h3>Course Curriculum</h3><div><p>15 sections • 140 lectures • 14:25:00 total length</p></div><div><div><div><div><div><div><div><p>•Welcome!: 00:01:00</p></div><div><div><p>•What is Power BI?: 00:03:00</p></div><div><div><p>•Download &amp; Installing Power BI Desktop: 00:04:00</p></div><div><div><p>•Getting to know the interface: 00:03:00</p></div><div><div><p>•Mini Project: Transform Data: 00:07:00</p></div><div><div><p>•Mini Project: Visualize Data: 00:05:00</p></div><div><div><p>•Mini Project: Creating a Data Model: 00:07:00</p></div><div><div><p>•Course Outline: What will you learn in this course?: 00:05:00</p></div><div><div><p>•How to learn best with this course?: 00:03:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Creating our initial project file: 00:04:00</p></div><div><div><p>•Working with the attached project files: 00:04:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Exploring the Query Editor: 00:06:00</p></div><div><div><p>•Connecting to our data source: 00:07:00</p></div><div><div><p>•Editing rows: 00:08:00</p></div><div><div><p>•Changing data types: 00:08:00</p></div><div><div><p>•Replacing values: 00:03:00</p></div><div><div><p>•Close &amp; Apply: 00:03:00</p></div><div><div><p>•Connecting to a csv file: 00:03:00</p></div><div><div><p>•Connecting to a web page: 00:05:00</p></div><div><div><p>•Extracting characters: 00:06:00</p></div><div><div><p>•Splitting &amp; merging columns: 00:09:00</p></div><div><div><p>•Creating conditional columns: 00:06:00</p></div><div><div><p>•Creating columns from examples: 00:09:00</p></div><div><div><p>•Merging Queries: 00:17:00</p></div><div><div><p>•Pivoting &amp; Unpivoting: 00:06:00</p></div><div><div><p>•Appending Queries: 00:08:00</p></div><div><div><p>•Practice &amp; Solution: Population table: 00:15:00</p></div><div><div><p>•The Fact-Dimension-Model: 00:09:00</p></div><div><div><p>•Practice: Load the dimension table: 00:04:00</p></div><div><div><p>•Organizing our queries in groups: 00:03:00</p></div><div><div><p>•Entering data manually: 00:05:00</p></div><div><div><p>•Creating an index column: 00:03:00</p></div><div><div><p>•Workflow &amp; more transformations: 00:05:00</p></div><div><div><p>•Module summary: 00:05:00</p></div><div><div><p>•Exercise  1 - Instruction: 00:02:00</p></div><div><div><p>•Exercise  1 - Exercise Solution: 00:11:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Advanced Editor - Best practices: 00:09:00</p></div><div><div><p>•Performance: References vs. Duplicating: 00:10:00</p></div><div><div><p>•Performance: Enable / Disable Load &amp; Report Refresh: 00:05:00</p></div><div><div><p>•Group by: 00:05:00</p></div><div><div><p>•Mathematical Operations: 00:05:00</p></div><div><div><p>•Run R Script: 00:15:00</p></div><div><div><p>•Using Parameters to dynamically transform data: 00:06:00</p></div><div><div><p>•M formula language: Basics: 00:07:00</p></div><div><div><p>•M formula language: Values, Lists &amp; Tables: 00:14:00</p></div><div><div><p>•M formula language: Functions: 00:13:00</p></div><div><div><p>•M formula language: More functions &amp; steps: 00:05:00</p></div><div><div><p>•Exercise 2 - Instructions: 00:01:00</p></div><div><div><p>•Exercise 2 - solution: 00:05:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Understanding the relationship: 00:05:00</p></div><div><div><p>•Create &amp; edit relationships: 00:06:00</p></div><div><div><p>•One-to-many &amp; one-to-one relationship: 00:06:00</p></div><div><div><p>•Many-to-many (m:n) relationship: 00:08:00</p></div><div><div><p>•Cross filter direction: 00:06:00</p></div><div><div><p>•Activate &amp; deactivate relationships: 00:06:00</p></div><div><div><p>•Model summary: 00:03:00</p></div><div><div><p>•Exercise 3 Create Model: 00:02:00</p></div><div><div><p>•Exercise 3 Solution: 00:02:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Our first visual: 00:08:00</p></div><div><div><p>•The format tab: 00:12:00</p></div><div><div><p>•Understanding tables: 00:10:00</p></div><div><div><p>•Conditional formatting: 00:09:00</p></div><div><div><p>•The Pie Chart: 00:06:00</p></div><div><div><p>•All about the filter visual: 00:13:00</p></div><div><div><p>•The filter pane for developers: 00:09:00</p></div><div><div><p>•Cross filtering &amp; edit interactions: 00:04:00</p></div><div><div><p>•Syncing slicers across pages: 00:07:00</p></div><div><div><p>•Creating drill downs: 00:08:00</p></div><div><div><p>•Creating drill throughs: 00:07:00</p></div><div><div><p>•The tree map visual: 00:07:00</p></div><div><div><p>•The decomposition tree: 00:05:00</p></div><div><div><p>•Understanding the matrix visual: 00:05:00</p></div><div><div><p>•Editing pages: 00:07:00</p></div><div><div><p>•Buttons &amp; Actions: 00:09:00</p></div><div><div><p>•Bookmarks to customize your report: 00:10:00</p></div><div><div><p>•Analytics and Forecasts with line charts: 00:10:00</p></div><div><div><p>•Working with custom visuals: 00:07:00</p></div><div><div><p>•Get data using R Script &amp; R Script visual: 00:08:00</p></div><div><div><p>•Asking questions - Q&amp;A visual: 00:04:00</p></div><div><div><p>•Wrap up - data visualization: 00:08:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Python in Power BI - Plan of attack: 00:03:00</p></div><div><div><p>•Setting up Python for Power BI: 00:03:00</p></div><div><div><p>•Transforming data using Python: 00:11:00</p></div><div><div><p>•Creating visualizations using Python: 00:08:00</p></div><div><div><p>•Violin plots, pair plots &amp; ridge plots using Python: 00:15:00</p></div><div><div><p>•Machine learning (BayesTextAnalyzer) using Python: 00:00:00</p></div><div><div><p>•Performance &amp; Troubleshooting: 00:03:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Introduction: 00:01:00</p></div><div><div><p>•Show Empathy &amp; Identify the Requirement: 00:03:00</p></div><div><div><p>•Finding the Most Suitable KPI's: 00:02:00</p></div><div><div><p>•Choose an Effective Visualization: 00:04:00</p></div><div><div><p>•Make Use of Natural Reading Pattern: 00:03:00</p></div><div><div><p>•Tell a Story Using Visual Cues: 00:05:00</p></div><div><div><p>•Avoid Chaos &amp; Group Information: 00:02:00</p></div><div><div><p>•Warp Up - Storytelling with Data: 00:02:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Introduction: 00:03:00</p></div><div><div><p>•The project data: 00:04:00</p></div><div><div><p>•Measures vs. Calculated Columns: 00:15:00</p></div><div><div><p>•Automatically creating a date table in DAX: 00:08:00</p></div><div><div><p>•CALENDAR: 00:05:00</p></div><div><div><p>•Creating a complete date table with features: 00:04:00</p></div><div><div><p>•Creating key measure table: 00:03:00</p></div><div><div><p>•Aggregation functions: 00:06:00</p></div><div><div><p>•The different versions of COUNT: 00:14:00</p></div><div><div><p>•SUMX - Row based calculations: 00:09:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•CALCULATE - The basics: 00:11:00</p></div><div><div><p>•Changing the context with FILTER: 00:07:00</p></div><div><div><p>•ALL: 00:08:00</p></div><div><div><p>•ALL SELECTED: 00:03:00</p></div><div><div><p>•ALL EXCEPT: 00:07:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•How to go on now?: 00:03:00</p></div><div><div><p>•Power BI Pro vs Premium &amp; Signing up: 00:04:00</p></div><div><div><p>•Exploring the interface: 00:04:00</p></div><div><div><p>•Discovering your workspace: 00:03:00</p></div><div><div><p>•Connecting Power BI Desktop &amp; Cloud: 00:04:00</p></div><div><div><p>•Understanding datasets &amp; reports: 00:03:00</p></div><div><div><p>•Working on reports: 00:04:00</p></div><div><div><p>•Updating reports from Power BI Desktop: 00:04:00</p></div><div><div><p>•Creating and working with workspaces: 00:07:00</p></div><div><div><p>•Installing &amp; using a data gateway: 00:13:00</p></div><div><div><p>•Get Quick Insights: 00:03:00</p></div><div><div><p>•Creating dashboards: 00:04:00</p></div><div><div><p>•Sharing our results through Apps: 00:10:00</p></div><div><div><p>•Power BI Mobile App: 00:05:00</p></div><div><div><p>•Creating the layout for the Mobile App: 00:04:00</p></div><div><div><p>•Wrap up - Power BI Cloud: 00:07:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Introduction: 00:03:00</p></div><div><div><p>•Creating a Row-Level Security: 00:05:00</p></div><div><div><p>•Row-Level Security in the Cloud: 00:04:00</p></div><div><div><p>•Row-Level Security &amp; Data Model: 00:05:00</p></div><div><div><p>•Dynamic Row-Level Security: 00:07:00</p></div><div><div><p>•Dynamic Many-to-Many RLS: 00:04:00</p></div><div><div><p>•Hierarchical Row-Level Security: 00:13:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•JSON &amp; REST API: 00:10:00</p></div><div><div><p>•Setting up a local MySQL database: 00:14:00</p></div><div><div><p>•Connecting to a MySQL database in Power BI: 00:05:00</p></div><div><div><p>•Connecting to a SQL database (PostgreSQL): 00:05:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Congratulations &amp; next steps: 00:06:00</p></div><div><div><p>•The End: 00:01:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Resources - Complete Microsoft Power BI 2021: 00:00:00</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>

Online Course Creation

Microsoft Power Apps

Microsoft Power Platform

Complete Microsoft Power BI 2021

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p></p><p>This course is designed for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud.</p><p></p>Overview<p>Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure.</p><p></p><p>Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Azure Machine Learning and MLflow.</p><p></p>Prerequisites<p></p><li>Creating cloud resources in Microsoft Azure.</li>  <li>Using Python to explore and visualize data.</li>  <li>Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow.</li>  <li>Working with containers</li>  <li>AI-900T00: Microsoft Azure AI Fundamentals is recommended, or the equivalent experience.</li><p></p></div><div id="course-pills-2"><h3>1 - Design a data ingestion strategy for machine learning projects</h3> <ul> <li>Identify your data source and format</li> <li>Choose how to serve data to machine learning workflows</li> <li>Design a data ingestion solution</li> </ul> <h3>2 - Design a machine learning model training solution</h3> <ul> <li>Identify machine learning tasks</li> <li>Choose a service to train a machine learning model</li> <li>Decide between compute options</li> </ul> <h3>3 - Design a model deployment solution</h3> <ul> <li>Understand how model will be consumed</li> <li>Decide on real-time or batch deployment</li> </ul> <h3>4 - Design a machine learning operations solution</h3> <ul> <li>Explore an MLOps architecture</li> <li>Design for monitoring</li> <li>Design for retraining</li> </ul> <h3>5 - Explore Azure Machine Learning workspace resources and assets</h3> <ul> <li>Create an Azure Machine Learning workspace</li> <li>Identify Azure Machine Learning resources</li> <li>Identify Azure Machine Learning assets</li> <li>Train models in the workspace</li> </ul> <h3>6 - Explore developer tools for workspace interaction</h3> <ul> <li>Explore the studio</li> <li>Explore the Python SDK</li> <li>Explore the CLI</li> </ul> <h3>7 - Make data available in Azure Machine Learning</h3> <ul> <li>Understand URIs</li> <li>Create a datastore</li> <li>Create a data asset</li> </ul> <h3>8 - Work with compute targets in Azure Machine Learning</h3> <ul> <li>Choose the appropriate compute target</li> <li>Create and use a compute instance</li> <li>Create and use a compute cluster</li> </ul> <h3>9 - Work with environments in Azure Machine Learning</h3> <ul> <li>Understand environments</li> <li>Explore and use curated environments</li> <li>Create and use custom environments</li> </ul> <h3>10 - Find the best classification model with Automated Machine Learning</h3> <ul> <li>Preprocess data and configure featurization</li> <li>Run an Automated Machine Learning experiment</li> <li>Evaluate and compare models</li> </ul> <h3>11 - Track model training in Jupyter notebooks with MLflow</h3> <ul> <li>Configure MLflow for model tracking in notebooks</li> <li>Train and track models in notebooks</li> </ul> <h3>12 - Run a training script as a command job in Azure Machine Learning</h3> <ul> <li>Convert a notebook to a script</li> <li>Run a script as a command job</li> <li>Use parameters in a command job</li> </ul> <h3>13 - Track model training with MLflow in jobs</h3> <ul> <li>Track metrics with MLflow</li> <li>View metrics and evaluate models</li> </ul> <h3>14 - Perform hyperparameter tuning with Azure Machine Learning</h3> <ul> <li>Define a search space</li> <li>Configure a sampling method</li> <li>Configure early termination</li> <li>Use a sweep job for hyperparameter tuning</li> </ul> <h3>15 - Run pipelines in Azure Machine Learning</h3> <ul> <li>Create components</li> <li>Create a pipeline</li> <li>Run a pipeline job</li> </ul> <h3>16 - Register an MLflow model in Azure Machine Learning</h3> <ul> <li>Log models with MLflow</li> <li>Understand the MLflow model format</li> <li>Register an MLflow model</li> </ul> <h3>17 - Create and explore the Responsible AI dashboard for a model in Azure Machine Learning</h3> <ul> <li>Understand Responsible AI</li> <li>Create the Responsible AI dashboard</li> <li>Evaluate the Responsible AI dashboard</li> </ul> <h3>18 - Deploy a model to a managed online endpoint</h3> <ul> <li>Explore managed online endpoints</li> <li>Deploy your MLflow model to a managed online endpoint</li> <li>Deploy a model to a managed online endpoint</li> <li>Test managed online endpoints</li> </ul> <h3>19 - Deploy a model to a batch endpoint</h3> <ul> <li>Understand and create batch endpoints</li> <li>Deploy your MLflow model to a batch endpoint</li> <li>Deploy a custom model to a batch endpoint</li> <li>Invoke and troubleshoot batch endpoints</li> </ul></div>

Data Engineering

Microsoft AZ-900

Microsoft Azure

Microsoft AZ-303

Microsoft AZ-700

Azure Machine Learning

DP-100T01 Designing and Implementing a Data Science Solution on Azure

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

Programming Fundamentals

Career Development

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


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

Python Certification - IT Job Ready Program with Money Back Guarantee

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

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

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

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

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

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

                        </div>

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


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


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


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


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


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


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


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


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

Big Data Analytics

Data Science

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

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

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

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

Python for Beginners: Learn Python Programming (Python 3)

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

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

Python Programming

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

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

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

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

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

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

                        </div>

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

Data Analyst

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

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

The Ultimate Guide to Python Programming with Python 3.10

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

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

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

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

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

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

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

Python Bootcamp in a Day - Python Programming for Beginners.

Network

Networking

Cisco

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

Python Network Programming for Network Engineers (Python 3)

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

Riva Learning

Programming Languages

Computing

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

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