Name: Power BI Masterclass
Price: 101.99 GBP
Availability: InStock

<p><strong>***Limited Time Exclusive Bundle***</strong></p><p><strong>Get Hard Copy + PDF Certificates + Transcript + Student ID Card + e-Learning App as a Gift - Enrol Now</strong></p><p>Tired of browsing and searching for a <strong>Database Administrator </strong> course you are looking for? Can't find the complete package that fulfils all your needs? Then don't worry as you have just found the solution. Take a minute and look through this extensive bundle that has everything you need to succeed.</p><p>After surveying thousands of learners just like you and considering their valuable feedback, this all-in<strong>-</strong>one Database Administrator bundle has been designed by industry experts. We prioritised what learners were looking for in a complete package and developed this in-demand Database Administrator course that will enhance your skills and prepare you for the competitive job market.</p><p>Also, our experts are available for answering your queries on Database Administrator and help you along your learning journey. Advanced audio-visual learning modules of these Database Administrator courses are broken down into little chunks so that you can learn at your own pace without being overwhelmed by too much material at once.</p><p>Furthermore, to help you showcase your expertise in Database Administrator, we have prepared a special gift of 1 hardcopy certificate and 1 PDF certificate for the title course completely free of cost. These certificates will enhance your credibility and encourage possible employers to pick you over the rest.</p><p><strong>This Database Administrator Bundle Consists of the following Premium courses:</strong></p><ul><li><strong> </strong><strong>Course 01: </strong>Introduction to Data Analysis</li><li><strong> </strong><strong>Course 02: </strong>Data Center Training Essentials: General Introduction</li><li><strong> </strong><strong>Course 03: </strong>Data Analytics with Tableau<strong><br /></strong></li><li><strong> </strong><strong>Course 04: </strong>Basic Google Data Studio</li><li><strong> </strong><strong>Course 05: </strong>Complete Google Analytics Course</li><li><strong> </strong><strong>Course 06: </strong>Python for Data Analysis</li><li><strong> </strong><strong>Course 07: </strong>Data Analysis in Excel Level 3 Course</li><li><strong> </strong><strong>Course 08: </strong>Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query</li><li><strong> </strong><strong>Course 09: </strong>GDPR Data Protection Level 5</li><li><strong> </strong><strong>Course 10: </strong>Level 3 Cyber Security</li><li><strong> </strong><strong>Course 11: </strong>Encryption</li><li><strong> </strong><strong>Course 12: </strong>Windows 10 Pro Complete Training</li><li><strong> </strong><strong>Course 13: </strong>Functional Skills IT</li><li><strong> </strong><strong>Course 14: </strong>Learning Computers and Internet Level 2</li></ul><p><strong>Benefits you'll get choosing Apex Learning:</strong></p><ul><li>Pay once and get lifetime access to 14 CPD courses</li><li>Free e-Learning App for engaging reading materials &amp; helpful assistance</li><li>Certificates, student ID for the title course included in a one-time fee</li><li>Free up your time - don't waste time and money travelling for classes</li><li>Accessible, informative modules designed by expert instructors</li><li>Learn at your ease - anytime, from anywhere</li><li>Study the course from your computer, tablet or mobile device</li><li>CPD accredited course - improve the chance of gaining professional skills</li><li>Gain valuable knowledge without leaving your home</li></ul><p><strong>How will I get my Certificate?</strong></p><p>After successfully completing the course, you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement.</p><ul><li><strong> </strong><strong>PDF Certificate: Free (For The Title Course)</strong></li><li><strong> </strong><strong>Hard Copy Certificate: Free (For The Title Course)</strong></li></ul><p>The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Database Administrator expertise and essential knowledge, which will assist you in reaching your goal.</p><p><strong>Curriculum of Bundle </strong></p><p><strong> Course 01: Introduction to Data Analysis</strong></p><ul><li>Module 01: Introduction</li><li>Module 02: Agenda and Principles of Process Management</li><li>Module 03: The Voice of the Process</li><li>Module 04: Working as One Team for Improvement</li><li>Module 05: Exercise: The Voice of the Customer</li><li>Module 06: Tools for Data Analysis</li><li>Module 07: The Pareto Chart</li><li>Module 08: The Histogram</li><li>Module 09: The Run Chart</li><li>Module 10: Exercise: Presenting Performance Data</li><li>Module 11: Understanding Variation</li><li>Module 12: The Control Chart</li><li>Module 13: Control Chart Example</li><li>Module 14: Control Chart Special Cases</li><li>Module 15: Interpreting the Control Chart</li><li>Module 16: Control Chart Exercise</li><li>Module 17: Strategies to Deal with Variation</li><li>Module 18: Using Data to Drive Improvement</li><li>Module 19: A Structure for Performance Measurement</li><li>Module 20: Data Analysis Exercise</li><li>Module 21: Course Project</li><li>Module 22: Test your Understanding</li></ul><p><strong> Course 02: Data Center Training Essentials: General Introduction</strong></p><ul><li>Module 01: Data Center Introduction</li><li>Module 02: Data Center Reliability</li><li>Module 03: Data Center Equipment</li><li>Module 04: Data Center White Space</li><li>Module 05: Data Center Support Spaces</li><li>Module 06: Data Center Security, Safety, Networks and IT</li></ul><p><strong> Course 03: Data Analytics with Tableau</strong></p><ul><li>Module 01: Introduction to the Course</li><li>Module 02: Project 1: Discount Mart (Sales and Profit Analytics)</li><li>Module 03: Project 2: Green Destinations (HR Analytics)</li><li>Module 04: Project 3: Superstore (Sales Agent Tracker)</li><li>Module 05: Northwind Trade (Shipping Analytics)</li><li>Module 06: Project 5: Tesla (Stock Price Analytics)</li><li>Module 07: Bonus: Introduction to Database Concepts</li><li>Module 08: Tableau Stories</li></ul><p><strong> Course 04: Basic Google Data Studio</strong></p><ul><li>Module 01: Introduction to GDS</li><li>Module 02: Data Visualization</li><li>Module 03: Geo-visualization</li><li>Module 04: A Socio-Economic Case Study</li></ul><p><strong> Course 05: Complete Google Analytics Course</strong></p><ul><li>Module 01: Overview</li><li>Module 02: Navigation and Admin</li><li>Module 03: Creating a New Google Analytics Account</li><li>Module 04: Website Account Creation</li><li>Module 05: Connecting To WordPress Website</li><li>Module 06: Connecting To HTML Site</li><li>Module 07: Connect Custom Page and Site Builders</li><li>Module 08: Setting Up Annotations</li><li>Module 09: Setting Up Intelligence Events</li><li>Module 10: Set Up Custom Segments</li><li>Module 11: Export Data for Analysis</li><li>Module 12: Set Up Custom Reports</li><li>Module 13: Set Up Google Integrations</li><li>Module 14: Google Analytics Templates</li><li>Module 15: Real Time Reporting</li><li>Module 16: Setting Up Goals</li><li>Module 17: Third Party Integrations</li><li>Module 18: Audience Menu Overview</li><li>Module 19: Interests and Geography</li><li>Module 20: Conclusion</li></ul><p><strong> Course 06: Python for Data Analysis</strong></p><ul><li>Welcome, Course Introduction &amp; overview, and Environment set-up</li><li>Python Essentials</li><li>Python for Data Analysis using NumPy</li><li>Python for Data Analysis using Pandas</li><li>Python for Data Visualization using matplotlib</li><li>Python for Data Visualization using Seaborn</li><li>Python for Data Visualization using pandas</li><li>Python for interactive &amp; geographical plotting using Plotly and Cufflinks</li><li>Capstone Project - Python for Data Analysis &amp; Visualization</li><li>Python for Machine Learning (ML) - scikit-learn - Linear Regression Model</li><li>Python for Machine Learning - scikit-learn - Logistic Regression Model</li><li>Python for Machine Learning - scikit-learn - K Nearest Neighbors</li><li>Python for Machine Learning - scikit-learn - Decision Tree and Random Forests</li><li>Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs)</li><li>Python for Machine Learning - scikit-learn - K Means Clustering</li><li>Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA)</li><li>Recommender Systems with Python - (Additional Topic)</li><li>Python for Natural Language Processing (NLP) - NLTK - (Additional Topic)</li></ul><p><strong> Course 07: Data Analysis in Excel Level 3 Course</strong></p><ul><li>Modifying a Worksheet</li><li>Working with Lists</li><li>Analyzing Data</li><li>Visualizing Data with Charts</li><li>Using PivotTables and PivotCharts</li><li>Working with Multiple Worksheets and Workbooks</li><li>Using Lookup Functions and Formula Auditing</li><li>Automating Workbook Functionality</li><li>Creating Sparklines and Mapping Data</li><li>Forecasting Data</li></ul><p><strong> Course 08: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query</strong></p><ul><li>Introduction</li><li>Prepaid Expenses Models: Resources Download</li><li>Accounting for Prepaid Expenses</li><li>Excel Formulas Detailed: Introduction to three Excel Models</li><li>Formula Based Prepaid Expenses Model</li><li>Calculate Prepaid Expenses Amortisation from Exact Start Date</li><li>Prepaid Expenses Summary with Power Query and Pivot Table</li><li>Advanced VBA Prepaid Expenses Amortisation Model</li><li>BONUS: Dynamic Dashboard for Divisional Profit and Loss statements: Easy Way</li><li>Power Query &amp; Pivot Tables based Dashboard without any Formulas, Fully Dynamic</li><li>Thankyou</li></ul><p><strong> Course 09: GDPR Data Protection Level 5</strong></p><ul><li>Module 01: GDPR Basics</li><li>Module 02: GDPR Explained</li><li>Module 03: Lawful Basis for Preparation</li><li>Module 04: Rights and Breaches</li><li>Module 05: Responsibilities and Obligations</li></ul><p><strong> Course 10: Level 3 Cyber Security</strong></p><ul><li>FUNDAMENTALS OF NETWORKING</li><li>GETTING STARTED WITH CYBER SECURITY</li><li>LET'S BEGIN - THE FUNDAMENTALS OF CYBER SECURITY</li><li>DIVING DEEP INTO CYBER SECURITY</li><li>TYPES OF ACTORS, ATTACKS, MALWARE AND RESOURCES</li><li>FIREWALLS AND ANTIVIRUS</li><li>KEY SECURITY CONCEPTS</li></ul><p><strong> Course 11: Encryption</strong></p><ul><li>Section 01: Introduction</li><li>Section 02: Basics of Common Encryption</li><li>Section 03: Technical Aspects of Encryption</li><li>Section 04: AES Basic Tech Demo</li><li>Section 05: File and System Encryption</li><li>Section 06: Conclusion</li></ul><p><strong> Course 12: Windows 10 Pro Complete Training</strong></p><ul><li>Module 01: Course Overview</li><li>Module 02: Building Your Virtual Lab Environment</li><li>Module 03: Upgrading Windows 7, 8, or 8.1 to Windows 10</li><li>Module 04: Building a Microsoft Server 2016 Domain</li><li>Module 05: Windows Deployment Services (WDS)</li><li>Module 06: Windows 10 Firewall, Windows Defender and UAC</li><li>Module 07: Networking</li><li>Module 08: Troubleshooting</li><li>Module 09: User Preferences</li><li>Module 10: Maintenance</li></ul><p><strong> Course 13: Functional Skills IT</strong></p><ul><li>Section 1: Introduction</li><li>Section 2: Information Technology</li><li>Section 3: Components of IT</li><li>Section 4: Hardware</li><li>Section 5: Operating System</li><li>Section 6: Application/Software</li><li>Section 7: Networking</li><li>Section 8: Security</li><li>Section 9: Traffic Flow &amp; Enterprise Level IT Components</li><li>Section 10: Storage</li><li>Section 11: Database</li><li>Section 12: Virtualisation &amp; Cloud</li><li>Section 13: Management &amp; Other IT Jobs</li></ul><p><strong> Course 14: Learning Computers and Internet Level 2</strong></p><ul><li>Module 01 : Computer Operating and Troubleshooting</li><li>Module 02 : Internet and Computing - Key Applications</li><li>Module 03 : Internet and Computing - Tools &amp; Networking</li><li>Module 04 : Windows 8 for PC</li><li>Module 05 : Windows 10 - New Developments</li><li>Module 06 : Cyber Security Awareness</li></ul><h2>
        
        <div>CPD</div>
    </h2>

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                            <div>
                                <div>
                                    <div>
                                        160 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>Anyone from any background can enrol in this Database Administrator bundle.</p>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>Our Database Administrator course is fully compatible with PCs, Macs, laptops, tablets and Smartphone devices.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Having this Database Administrator expertise will increase the value of your CV and open you up to multiple job sectors.</p>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>Certificate of completion</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div> <p>P.S. The delivery charge inside the UK is £3.99, and the international students have to pay £9.99.</p> </div>

                        </div>

Apex Learning

Database Administrator Courses

General Admission

<strong>Learn how to install, configure, and use GNS3. Interactive, practical GNS3 training from David Bombal - Cisco, Python ++</strong>
        <p>This course is perfect for you if you have not used GNS3 before. Learn how to download, install, and configure GNS3 on a Windows PC. Learn the basics (and some advanced topics) of GNS3 including:
Understand why you would use GNS3 and the differences between emulating and simulating network devices
Getting started with the software from novice to advanced-level, including: IOS selection, hardware requirements, switching support, installing the new GNS3 VM with VMware & ESXi, getting familiar with the GUI and icons, and more!
Get access to some amazing FREE tools that complement and work well with GNS3, including Solarwinds Response Time Viewer, which helps to quickly analyze Wireshark packet capture files to troubleshoot performance issues.
</p>
        <h2>What You Will Learn</h2><p>Run Cisco IOS images on your laptop!<br>Prepare for CCNA lab simulations<br>Download, install, and configure GNS3 on a Windows PC<br>Use Cumulus VX with GNS3<br>Use GNS3 virtual machines for VirtualBox, VMware workstations, and ESXi<br></p>
        <h2>Audience</h2><p>This course is for anyone preparing for the CCNA exam and those who want to learn more about GNS3.</p>
        <h2>Approach</h2><p>This course will show you how to download, install, and configure GNS3 and covers the basics of GNS3. You need your own Cisco IOS for this course.</p>
        <h2>Key Features</h2><p>Learn how to install, configure, and use GNS3 * A practical course designed for those preparing for the CCNA exam * </p>
        
        <h2>About the Author</h2><h3>David Bombal</h3><p>David Bombal (CCIE #11023 Emeritus) passed his Cisco Certified Internetwork Expert Routing and Switching exam in January 2003 and is one of a small percentage of Cisco engineers that pass their CCIE labs on their first attempt. David was qualified as a Cisco Certified Systems Instructor (CCSI #22787) many years ago! He has been conducting Cisco courses for over 15 years and has delivered instructor-led courses in various countries around the world covering a wide range of Cisco topics from CCNA to CCIE. He has also personally developed Cisco engineer utilities, such as the VPN Config Generator, software, training materials, eBooks, videos and other products, which are used throughout the world. David has designed, implemented, and managed networks ranging from single sites to those that span 50 countries.</p>
        <h2>Course Outline</h2><h4>1. Welcome</h4><p></p><br><h4>2. GNS3 2.1 Install</h4><p></p><br><h4>3. GNS3 Overview</h4><p></p><br><h4>4. GNS3 Hardware requirements</h4><p></p><br><h4>5. Emulated versus Simulated devices</h4><p></p><br><h4>6. IOS Image selection</h4><p></p><br><h4>7. UPDATED CONTENT: Network Operating Systems</h4><p></p><br><h4>8. UPDATED CONTENT: Downloading VIRL images</h4><p></p><br><h4>9. UPDATED CONTENT: GNS3 2.0 Architecture</h4><p></p><br><h4>10. UPDATED CONTENT: Version 2.0 updates</h4><p></p><br><h4>11. UPDATED CONTENT: GNS3 2.0 ESXi, GNS3 VM and KVM support - leverage servers and t</h4><p></p><br><h4>12. UPDATED CONTENT: GNS3 Switching Options</h4><p></p><br><h4>13. UPDATED CONTENT: Cisco ASAv</h4><p></p><br><h4>14. UPDATED CONTENT: Cisco Nexus</h4><p></p><br><h4>15. UPDATED CONTENT: Cisco IOS-XR</h4><p></p><br><h4>16. UPDATED CONTENT: GNS3 Cisco CSR 1000v</h4><p></p><br><h4>17. UPDATED CONTENT: Packet, GNS3 and the cloud</h4><p></p><br><h4>18. UPDATED CONTENT: GNS3, Docker, Open vSwitch, SDN, OpenDaylight and OpenFlow</h4><p></p><br><h4>19. UPDATED CONTENT: Python for Network Engineers</h4><p></p><br><h4>20. GNS3 Campus - CCNA topics</h4><p></p><br><h4>21. NEW CONTENT: Ostinato</h4><p></p><br><h4>22. NEW CONTENT: Other GNS3 talk videos</h4><p></p><br><h4>23. Troubleshooting Part 1 View this first</h4><p></p><br><h4>24. Troubleshooting Part 2: Memory and router crashes</h4><p></p><br><h4>25. IMPORTANT: Recommendations (GNS3 VM versus Dynamips)</h4><p></p><br><h4>26. Installation and setup of GNS3 (Dynamips install)</h4><p></p><br><h4>27. GNS3 VM - what should I download?</h4><p></p><br><h4>28. Installation of GNS3 using the GNS3 VM</h4><p></p><br><h4>29. GNS3 VMware VM</h4><p></p><br><h4>30. GNS3 GUI Part 1 Workspace and others</h4><p></p><br><h4>31. GNS3 GUI Part 2: Projects</h4><p></p><br><h4>32. GNS3 GUI Part 3: Snapshots</h4><p></p><br><h4>33. GNS3 GUI Part 4: More GUI Options & demonstrations</h4><p></p><br><h4>34. VPCS - lightweight PCs</h4><p></p><br><h4>35. Router on a stick (IOS router and GNS3 Layer 2 switch)</h4><p></p><br><h4>36. GNS3 Hub, Switch, Wireshark captures (including password capturing)</h4><p></p><br><h4>37. Cisco Etherswitch Service module (Layer 2 switching)</h4><p></p><br><h4>38. GNS3 Frame Relay switch</h4><p></p><br><h4>39. Cisco IOS router as a Frame Relay switch</h4><p></p><br><h4>40. Connect GNS3 to the Internet and enable NAT</h4><p></p><br><h4>41. GNS3 Talks</h4><p></p><br><h4>42. Solarwinds Free Tools</h4><p></p><br><h4>43. Cumulus VX (Linux Networking Operating System)</h4><p></p><br><h4>44. GNS3 VM and ESXi</h4><p></p><br><h4>45. Thank you and please give feedback</h4><p></p>

Packt

Networking

Cisco

Learn how to install, configure, and use GNS3. Interactive, practical GNS3 training from David Bombal - Cisco, Python ++

GNS3 Fundamentals (Official Course) Part 1

<p><strong> Sale Ends Today <br /><br /> JavaScript Application Programming - CPD Certified Admission Gifts  <br /><br /> FREE PDF &amp; Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter</strong></p><p>Till date, <strong>JavaScript</strong> remains the <strong>backbone of interactive web applications </strong>worldwide, with <strong>over 95% </strong>of all websites using it in some form. In the rapidly evolving digital landscape, mastering JavaScript is more than a skill, rather, it's a necessity. The <strong>JavaScript Application Programming</strong> bundle is designed to transform you from a novice to a master developer, and elevate your programming skills to set the web on fire.</p><p>The <strong>JavaScript Application Programming</strong> bundle provides a comprehensive exploration into JavaScript and its powerful ecosystem. Starting with <strong>JavaScript Foundations for Everyone</strong>, the course progressively covers advanced topics such as <strong>JavaScript Functions</strong> and <strong>JavaScript Promises</strong>, ensuring a deep understanding of core concepts. Additional modules like <strong>jQuery</strong>, <strong>WebGL 3D Programming</strong>, and <strong>Web GIS Application Development</strong> with <strong>ASP.NET CORE MVC</strong> expand your skillset into creating dynamic, data-driven web applications along with courses in other essential languages such as <strong>Python</strong>, <strong>C#</strong>, and <strong>SQL</strong>.</p><p><strong>Courses Are Included In This JavaScript Application Programming - CPD Certified Bundle: </strong></p><ul><li><strong> Course 01: </strong>JavaScript Foundations for Everyone</li><li><strong> Course 02: </strong>JavaScript Functions</li><li><strong> Course 03: </strong>JavaScript Promises</li><li><strong> Course 04: </strong>jQuery: JavaScript and AJAX Coding Bible</li><li><strong> Course 05: </strong>Java Certification Cryptography Architecture</li><li><strong> Course 06: </strong>Master JavaScript with Data Visualisation</li><li><strong> Course 07: </strong>Coding Essentials - Javascript, ASP. Net, C# - Bonus HTML</li><li><strong> Course 08: </strong>Kotlin Programming: Android Coding Bible</li><li><strong> Course 09: </strong>Secure Programming of Web Applications</li><li><strong> Course 10: </strong>Web GIS Application Development with C# ASP.NET CORE MVC and Leaflet</li><li><strong> Course 11: </strong>Mastering SQL Programming</li><li><strong> Course 12: </strong>Complete Microsoft SQL Server from Scratch: Bootcamp</li><li><strong> Course 13: </strong>Ultimate PHP &amp; MySQL Web Development &amp; OOP Coding</li><li><strong> Course 14: </strong>SQL for Data Science, Data Analytics and Data Visualisation</li><li><strong> Course 15: </strong>Quick Data Science Approach from Scratch</li><li><strong> Course 16: </strong>Python Programming Bible</li><li><strong> Course 17: </strong>Python Programming from Scratch with My SQL Database</li><li><strong> Course 18: </strong>Machine Learning with Python Course</li><li><strong> Course 19: </strong>HTML Web Development Crash Course</li><li><strong> Course 20: </strong>CSS Web Development</li><li><strong> Course 21: </strong>Three.js &amp; WebGL 3D Programming</li><li><strong> Course 22: </strong>Basics of WordPress: Create Unlimited Websites</li><li><strong> Course 23: </strong>Masterclass Bootstrap 5 Course - Responsive Web Design</li><li><strong> Course 24: </strong>C++ Development: The Complete Coding Guide</li><li><strong> Course 25: </strong>C# Basics</li><li><strong> Course 26: </strong>C# Programming - Beginner to Advanced</li><li><strong> Course 27: </strong>Stripe with C#</li><li><strong> Course 28: </strong>C# Console and Windows Forms Development with LINQ &amp; ADO.NET</li><li><strong> Course 29: </strong>Cyber Security Incident Handling and Incident Response</li><li><strong> Course 30: </strong>Computer Networks Security from Scratch to Advanced</li></ul><p>Don't miss the chance to become a versatile and highly skilled software developer with our <strong>JavaScript Application Programming</strong> course. Aim to start your own tech venture, work for a top tech company, or freelance as a developer, this course will provide you with the skills needed to succeed. Enrol today to take the first step towards a lucrative career in software development, where your ability to innovate and solve complex problems will shape the future of technology!</p><p><strong>Learning Outcomes of this Bundle:</strong></p><ul><li>Master fundamental and advanced JavaScript programming techniques.</li><li>Learn to implement interactive web features using jQuery and AJAX.</li><li>Develop proficiency in data visualisation with JavaScript.</li><li>Understand and apply Python, C#, and SQL in web development contexts.</li><li>Create responsive and secure web applications using Bootstrap and C#.</li><li>Manage and deploy sophisticated web-based GIS applications.</li></ul><p><strong>With this JavaScript Application Programming - CPD Certified course, you will get 30 CPD Accredited PDF Certificates, a Hard Copy Certificate and our exclusive student ID card absolutely free.</strong></p><p><strong>Why Prefer this Course?</strong></p><ul><li>Get a <strong>Free CPD Accredited Certificate</strong> upon completion of the course</li><li>Get a <strong>Free Student ID Card</strong> with this training program (£10 postal charge will be applicable for international delivery)</li><li>The course is <strong>Affordable and Simple</strong> to understand</li><li>Get <strong>Lifetime Access</strong> to the course materials</li><li>The training program comes with <strong>24/7 Tutor Support</strong></li></ul> <p><strong>Start your learning journey straight away!</strong></p><p>The <strong>JavaScript Application Programming</strong> course bundle is an exceptional resource for those looking to dive deep into the world of modern web development. By mastering fundamental and advanced <strong>JavaScript programming techniques</strong>, learners will gain the ability to create dynamic and interactive web applications that are both efficient and visually appealing. This foundational knowledge is essential, as JavaScript remains a critical tool for front-end development, enabling developers to implement complex features that improve user experience and site functionality.</p><p>Beyond the basics, the course introduces students to <strong>data visualisation with JavaScript</strong>, which is an increasingly important skill in the tech industry. Additionally, the inclusion of frameworks like <strong>jQuery</strong> and <strong>Bootstrap</strong> ensures that learners can streamline their coding process and design responsive layouts that adapt to different devices, a must-have in today's mobile-first world. Learners will also develop proficiency in other programming languages such as <strong>Python</strong>, <strong>C#</strong>, and <strong>SQL</strong>, which are integral to backend development and database management.</p><p><strong>Moreover, this diploma offers learners the opportunity to acquire a Recognised Qualification that is highly valued in the field of JavaScript. With this Certification, graduates are better positioned to pursue career advancement and higher responsibilities within the JavaScript setting. The skills and knowledge gained from this course will enable learners to make meaningful contributions to JavaScript related fields impacting their JavaScript experiences and long-term development.</strong></p><p><strong> Course Curriculum </strong></p><p><strong> Course 01: JavaScript Foundations for Everyone</strong></p><ul><li>Module 01: About the Author</li><li>Module 02: Introduction to JavaScript</li><li>Module 03: Strengths and Weaknesses of JavaScript</li><li>Module 04: Writing JavaScript in Chrome</li><li>Module 05: JavaScript Variables</li><li>Module 06: Demo of JavaScript Variables</li><li>Module 07: Basic Types of JavaScript</li><li>Module 08: JavaScript Boolean</li><li>Module 09: JavaScript Strings</li><li>Module 10: JavaScript Numbers</li><li>Module 11: JavaScript Objects</li><li>Module 12: Demo of JavaScript Objects</li><li>Module 13: JavaScript Arrays</li><li>Module 14: Demo of JavaScript Arrays</li><li>Module 15: JavaScript Functions</li><li>Module 16: Demo of JavaScript Functions</li><li>Module 17: JavaScript Scope and Hoisting</li><li>Module 18: Demo of JavaScript Scope and Hoisting</li><li>Module 19: Currying Functions</li><li>Module 20: Demo of Currying Functions</li><li>Module 21: Timeouts and Callbacks</li><li>Module 22: Demo of Timeouts and Callbacks</li><li>Module 23: JavaScript Promises</li><li>Module 24: Demo of JavaScript Promises</li><li>Module 25: Demo of Javascript Async</li><li>Module 26: Flow Control</li><li>Module 27: Demo of Flow Control</li><li>Module 28: JavaScript For Loop</li><li>Module 29: Demo of JavaScript For Loop</li><li>Module 30: Demo of Switch Statements</li><li>Module 31: Error Handling</li><li>Module 32: Demo Project</li></ul><p><strong> Course 02: JavaScript Functions</strong></p><ul><li>Module 01: Introduction</li><li>Module 02: Defining And Invoking Functions</li><li>Module 03: Function Scope</li><li>Module 04: Composing Functions</li><li>Module 05: Asynchronous Functions</li></ul><p><strong> Course 03: JavaScript Promises</strong></p><ul><li>Module 01: JavaScript Promises</li><li>Module 02: Understanding Promises</li><li>Module 03: Using Promises</li><li>Module 04: Multiple Promises</li><li>Module 05: Handling Errors With Promises</li></ul><p><strong>=========&gt;&gt;&gt;&gt;&gt; And 27 More Courses &lt;&lt;&lt;&lt;&lt;=========</strong></p><p><strong>How will I get my Certificate?</strong></p><p>After successfully completing the course, you will be able to order your Certificates as proof of your achievement.</p><ul><li><strong>PDF Certificate:</strong> Free (Previously it was £12.99*30 = £390)</li><li><strong>CPD Hard Copy Certificate: </strong>Free (For The First Course: Previously it was £29.99)</li></ul> <h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <p>Anyone interested in learning more about the topic is advised to take this bundle. This bundle is ideal for:</p><ul><li>Aspiring software developers.</li><li>Web developers.</li><li>Computer science students.</li><li>Tech industry professionals.</li><li>Entrepreneurs in tech.</li><li>Career changers.</li></ul>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>You will not need any prior background or expertise to enrol in this course.</p>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>After completing this bundle, you are to start your career or begin the next phase of your career.</p><ul><li>Web Developer: $40,000 - $85,000</li><li>Software Developer: $50,000 - $120,000</li><li>Full-Stack Developer: $60,000 - $120,000</li><li>Data Analyst: $45,000 - $85,000</li><li>Systems Engineer: $60,000 - $130,000</li><li>Cyber Security Analyst: $60,000 - $100,000</li></ul>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Accredited  Digital certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
            <div><ul><li><strong>CPD Accredited e-Certificate - Free</strong></li><li><strong>Enrolment Letter - Free</strong></li><li><strong>Student ID Card - Free</strong></li></ul></div>
        <h4>CPD Accredited Hard Copy Certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div><p><strong><em>Please note that International students have to pay an additional £10 as a shipment fee.</em></strong></p></div>

                        </div>

Academy for Health and Fitness

Online Course Marketing

Online Course Creation

Salesforce Certified JavaScript Developer

AWS Certified Developer

Computer Programming

Professional Skills Course (PSC)

JavaScript Application Programming - CPD Certified

<p><strong>Best Price Of The Market</strong></p> <p>Give a compliment to your career and take it to the next level. This<strong> Database Administrator </strong>bundle will provide you with the essential knowledge to shine in your professional career. Whether you want to develop skills for your next job or elevate your skills for your next promotion, this Database Administrator bundle will help you stay ahead of the pack.</p> <p>Throughout the Database Administrator programme, it stresses how to improve your competency as a person in your chosen field while also outlining essential career insights in the relevant job sector.</p> <p>Along with this Database Administrator course, you will get <strong>10 premium courses, an original</strong><strong>hardcopy</strong>, <strong>11 PDF certificates (Main Course + Additional Courses) </strong>Student ID card as gifts.</p> <p><strong>This Database Administrator Bundle Consists of the following Premium courses: </strong></p> <ul> <li><strong> </strong><strong>Course 01: </strong>Introduction to Data Analysis</li><li><strong> </strong><strong>Course 02: </strong>Data Center Training Essentials: General Introduction</li><li><strong> </strong><strong>Course 03: </strong>Data Analytics with Tableau<strong><br /></strong></li><li><strong> </strong><strong>Course 04: </strong>Basic Google Data Studio</li><li><strong> </strong><strong>Course 05: </strong>Complete Google Analytics Course</li><li><strong> </strong><strong>Course 06: </strong>Python for Data Analysis</li><li><strong> </strong><strong>Course 07: </strong>Data Analysis in Excel Level 3 Course</li><li><strong> </strong><strong>Course 08: </strong>Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query</li><li><strong> </strong><strong>Course 09: </strong>GDPR Data Protection Level 5</li><li><strong> </strong><strong>Course 10: </strong>Level 3 Cyber Security</li><li><strong> </strong><strong>Course 11: </strong>Encryption</li></ul> <p>Enrol now in Database Administrator to advance your career, and use the premium study materials from Apex Learning.</p> <p><strong>How will I get my Certificate?</strong></p> <p>After successfully completing the Database Administrator course, you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement.</p> <ul> <li><strong></strong><strong> PDF Certificate: Free (Previously it was </strong> <strong>£</strong><strong>10 * 11 = </strong><strong>£</strong><strong>110)</strong></li><li><strong></strong><strong> Hard Copy Certificate: Free (For The Title Course)</strong></li></ul> <p>PS The delivery charge inside the UK is £3.99, and the international students have to pay £9.99.</p><p>The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Database Administrator expertise and essential knowledge, which will assist you in reaching your goal. Moreover, you can learn from any place in your own time without travelling for classes.</p> <p><strong>Curriculum of Bundle</strong></p> <p><strong> Course 01: Introduction to Data Analysis</strong></p> <ul> <li>Module 01: Introduction</li><li>Module 02: Agenda and Principles of Process Management</li><li>Module 03: The Voice of the Process</li><li>Module 04: Working as One Team for Improvement</li><li>Module 05: Exercise: The Voice of the Customer</li><li>Module 06: Tools for Data Analysis</li><li>Module 07: The Pareto Chart</li><li>Module 08: The Histogram</li><li>Module 09: The Run Chart</li><li>Module 10: Exercise: Presenting Performance Data</li><li>Module 11: Understanding Variation</li><li>Module 12: The Control Chart</li><li>Module 13: Control Chart Example</li><li>Module 14: Control Chart Special Cases</li><li>Module 15: Interpreting the Control Chart</li><li>Module 16: Control Chart Exercise</li><li>Module 17: Strategies to Deal with Variation</li><li>Module 18: Using Data to Drive Improvement</li><li>Module 19: A Structure for Performance Measurement</li><li>Module 20: Data Analysis Exercise</li><li>Module 21: Course Project</li><li>Module 22: Test your Understanding</li></ul> <p><strong> Course 02: Data Center Training Essentials: General Introduction</strong></p> <ul> <li>Module 01: Data Center Introduction</li><li>Module 02: Data Center Reliability</li><li>Module 03: Data Center Equipment</li><li>Module 04: Data Center White Space</li><li>Module 05: Data Center Support Spaces</li><li>Module 06: Data Center Security, Safety, Networks and IT</li></ul> <p><strong> Course 03: Data Analytics with Tableau</strong></p> <ul> <li>Module 01: Introduction to the Course</li><li>Module 02: Project 1: Discount Mart (Sales and Profit Analytics)</li><li>Module 03: Project 2: Green Destinations (HR Analytics)</li><li>Module 04: Project 3: Superstore (Sales Agent Tracker)</li><li>Module 05: Northwind Trade (Shipping Analytics)</li><li>Module 06: Project 5: Tesla (Stock Price Analytics)</li><li>Module 07: Bonus: Introduction to Database Concepts</li><li>Module 08: Tableau Stories</li></ul> <p><strong> Course 04: Basic Google Data Studio</strong></p> <ul> <li>Module 01: Introduction to GDS</li><li>Module 02: Data Visualization</li><li>Module 03: Geo-visualization</li><li>Module 04: A Socio-Economic Case Study</li></ul> <p><strong> Course 05: Complete Google Analytics Course</strong></p> <ul> <li>Module 01: Overview</li><li>Module 02: Navigation and Admin</li><li>Module 03: Creating a New Google Analytics Account</li><li>Module 04: Website Account Creation</li><li>Module 05: Connecting To WordPress Website</li><li>Module 06: Connecting To HTML Site</li><li>Module 07: Connect Custom Page and Site Builders</li><li>Module 08: Setting Up Annotations</li><li>Module 09: Setting Up Intelligence Events</li><li>Module 10: Set Up Custom Segments</li><li>Module 11: Export Data for Analysis</li><li>Module 12: Set Up Custom Reports</li><li>Module 13: Set Up Google Integrations</li><li>Module 14: Google Analytics Templates</li><li>Module 15: Real Time Reporting</li><li>Module 16: Setting Up Goals</li><li>Module 17: Third Party Integrations</li><li>Module 18: Audience Menu Overview</li><li>Module 19: Interests and Geography</li><li>Module 20: Conclusion</li></ul> <p><strong> Course 06: Python for Data Analysis</strong></p> <ul> <li>Welcome, Course Introduction &amp; overview, and Environment set-up</li><li>Python Essentials</li><li>Python for Data Analysis using NumPy</li><li>Python for Data Analysis using Pandas</li><li>Python for Data Visualization using matplotlib</li><li>Python for Data Visualization using Seaborn</li><li>Python for Data Visualization using pandas</li><li>Python for interactive &amp; geographical plotting using Plotly and Cufflinks</li><li>Capstone Project - Python for Data Analysis &amp; Visualization</li><li>Python for Machine Learning (ML) - scikit-learn - Linear Regression Model</li><li>Python for Machine Learning - scikit-learn - Logistic Regression Model</li><li>Python for Machine Learning - scikit-learn - K Nearest Neighbors</li><li>Python for Machine Learning - scikit-learn - Decision Tree and Random Forests</li><li>Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs)</li><li>Python for Machine Learning - scikit-learn - K Means Clustering</li><li>Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA)</li><li>Recommender Systems with Python - (Additional Topic)</li><li>Python for Natural Language Processing (NLP) - NLTK - (Additional Topic)</li></ul> <p><strong> Course 07: Data Analysis in Excel Level 3 Course</strong></p> <ul> <li>Modifying a Worksheet</li><li>Working with Lists</li><li>Analyzing Data</li><li>Visualizing Data with Charts</li><li>Using PivotTables and PivotCharts</li><li>Working with Multiple Worksheets and Workbooks</li><li>Using Lookup Functions and Formula Auditing</li><li>Automating Workbook Functionality</li><li>Creating Sparklines and Mapping Data</li><li>Forecasting Data</li></ul> <p><strong> Course 08: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query</strong></p> <ul> <li>Introduction</li><li>Prepaid Expenses Models: Resources Download</li><li>Accounting for Prepaid Expenses</li><li>Excel Formulas Detailed: Introduction to three Excel Models</li><li>Formula Based Prepaid Expenses Model</li><li>Calculate Prepaid Expenses Amortisation from Exact Start Date</li><li>Prepaid Expenses Summary with Power Query and Pivot Table</li><li>Advanced VBA Prepaid Expenses Amortisation Model</li><li>BONUS: Dynamic Dashboard for Divisional Profit and Loss statements: Easy Way</li><li>Power Query &amp; Pivot Tables based Dashboard without any Formulas, Fully Dynamic</li><li>Thankyou</li></ul> <p><strong> Course 09: GDPR Data Protection Level 5</strong></p> <ul> <li>Module 01: GDPR Basics</li><li>Module 02: GDPR Explained</li><li>Module 03: Lawful Basis for Preparation</li><li>Module 04: Rights and Breaches</li><li>Module 05: Responsibilities and Obligations</li></ul> <p><strong> Course 10: Level 3 Cyber Security</strong></p> <ul> <li>FUNDAMENTALS OF NETWORKING</li><li>GETTING STARTED WITH CYBER SECURITY</li><li>LET'S BEGIN - THE FUNDAMENTALS OF CYBER SECURITY</li><li>DIVING DEEP INTO CYBER SECURITY</li><li>TYPES OF ACTORS, ATTACKS, MALWARE AND RESOURCES</li><li>FIREWALLS AND ANTIVIRUS</li><li>KEY SECURITY CONCEPTS</li></ul> <p><strong> Course 11: Encryption</strong></p> <ul> <li>Section 01: Introduction</li><li>Section 02: Basics of Common Encryption</li><li>Section 03: Technical Aspects of Encryption</li><li>Section 04: AES Basic Tech Demo</li><li>Section 05: File and System Encryption</li><li>Section 06: Conclusion</li></ul><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        120 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>Anyone from any background can enrol in this Database Administrator bundle.</p> 
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                             <p>This Database Administrator course has been designed to be fully compatible with tablets and smartphones.</p> 
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                             <p>Having this expertise will increase the value of your CV and open you up to multiple job sectors.</p> 
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>Certificate of completion</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div>    <p>P.S. The delivery charge inside the UK is £3.99, and the international students have to pay £9.99.</p>    </div>

                        </div>

Database Administrator

<p><strong>** 13-in-1 Data Analysis Bundle **</strong></p><p><strong>Unleash Your Full Data Analysis Potential with Our Comprehensive Bundle!</strong></p><p>Are you ready to elevate your data analysis skills to a whole new level? Look no further! Our Data Analysis Bundle is the ultimate solution you've been searching for.</p><p>In today's data-driven world, being proficient in a single aspect of data analysis is just not enough. That's why we've carefully curated a bundle of courses that complement each other seamlessly, creating a holistic and powerful learning experience.</p><p><strong>The Data Analysis Bundle includes the following courses:</strong></p><ol><li>Diploma in Data Analytics with Tableau</li><li>Data Analytics</li><li>Google Data Studio: Data Analytics</li><li>Big Data Analytics with PySpark Power BI and MongoDB</li><li>Big Data Analytics with PySpark Tableau Desktop and MongoDB</li><li>Learn MySQL from Scratch for Data Science and Analytics</li><li>SQL for Data Science, Data Analytics and Data Visualization</li><li>Data Analysis In Excel</li><li>Diploma in Data Analysis Fundamentals</li><li>Business Data Analysis</li><li>Data Science &amp; Machine Learning with Python</li><li>R Programming for Data Science</li><li>Learn Python, JavaScript, and Microsoft SQL for Data science</li></ol><p><strong>Course Significant Points:</strong></p><ul><li>Quality Licence Scheme Endorsed</li><li>CPD Accredited Course</li><li>Unlimited Retake Exam &amp; Tutor Support</li><li>Easy Accessibility to the Course Materials</li><li>100% Learning Satisfaction Guarantee</li><li>Lifetime Access &amp; 24/7 Support</li><li>Self-paced online course Modules</li><li>Covers to Explore Multiple Job Positions</li></ul><p><strong>How is the course assessed?</strong></p><p>To assess your learning, you have to complete the assignment questions provided at the end of the course. You have to score at least 60% to pass the exam and to qualify for Quality Licence Scheme endorsed and CPD-accredited certificates. After passing the assignment exam, you will be able to apply for a certificate.</p><p><strong>Meet the Endorsement</strong></p><p>The Quality Licence Scheme has been designed specifically to recognise high-quality courses. In addition, the QLS certificate enriches your CV and recognises your quality study on the relevant subject.</p><p><strong>Meet the Accreditation</strong></p><p>CPD Quality Standards (CPD QS) accreditation assures the Data Analysis with Excel course training and learning activities are relevant, reliable, and up to date.</p><p><strong>**Enrol Today and Unleash Your Full Data Analysis Potential!** </strong></p><p>The Data Analysis Bundle is a comprehensive collection of courses designed to equip individuals with the skills and knowledge necessary for a successful career in data analysis. From foundational concepts to advanced techniques and tools, this bundle covers a wide range of topics in the field of data analysis. Whether you're a beginner looking to get started or a professional seeking to enhance your skills, these courses provide a well-rounded education in data analysis.</p><p><strong>**Diploma in Data Analytics with Tableau**</strong></p><ul><li>Introduction To The Course</li><li>Project 1: Discount Mart (Sales And Profit Analytics)</li><li>Project 2: Green Destinations (HR Analytics)</li><li>Project 3: Superstore (Sales Agent Tracker)</li><li>Northwind Trade (Shipping Analytics)</li><li>Project 5: Tesla (Stock Price Analytics)</li><li>Bonus: Introduction To Database Concepts</li><li>Tableau Stories</li></ul><p><strong>**Data Analytics**</strong></p><ul><li>Introduction To The World Of Data</li><li>Basics Of Data Analytics</li><li>Statistics For Data Analytics</li><li>Actions Taken In The Data Analysis Process</li><li>Gathering The Right Information</li><li>Storing Data</li><li>Data Mining</li><li>Excel For Data Analytics</li><li>Tools For Data Analytics</li><li>Data-Analytic Thinking</li><li>Data Visualisation That Clearly Describes Insights</li><li>Data Visualisation Tools</li></ul><p><strong>**Google Data Studio: Data Analytics**</strong></p><ul><li>Introduction</li><li>Google Sheets</li><li>Google Data Studio</li></ul><p><strong>**Big Data Analytics with PySpark Tableau Desktop and MongoDB**</strong></p><ul><li>Introduction</li><li>Setup And Installations</li><li>Data Processing With PySpark And MongoDB</li><li>Machine Learning With PySpark And MLlib</li><li>Creating The Data Pipeline Scripts</li><li>Tableau Data Visualization</li><li>Source Code</li></ul><p><strong>**Learn MySQL from Scratch for Data Science and Analytics**</strong></p><ul><li>Getting Started</li><li>SQL Server Setting Up</li><li>SQL Database Basics</li><li>SQL DML (Data Manipulation Language)</li><li>SQL DDL (Data Definition Language)</li><li>SQL DCL (Data Control Language)</li><li>SQL Statement Basic</li><li>Filtering Data Rows</li><li>Aggregate Functions For Data Analysis</li><li>SQL Data Analyticstatements</li><li>SQL Group By Statement</li><li>JOINS</li><li>SQL Constraints</li><li>Views</li><li>Advanced SQL Functions</li><li>SQL Stored Procedures</li><li>Import &amp; Export Data</li><li>Backup And Restore Database</li></ul><p><strong>**Data Analysis In Excel**</strong></p><ul><li>Modifying A Worksheet</li><li>Working With Lists</li><li>Analyzing Data</li><li>Visualizing Data With Charts</li><li>Using PivotTables And PivotCharts</li><li>Working With Multiple Worksheets And Workbooks</li><li>Using Lookup Functions And Formula Auditing</li><li>Automating Workbook Functionality</li><li>Creating Sparklines And Mapping Data</li><li>Forecasting Data</li></ul><p><strong>**Diploma in Data Analysis Fundamentals**</strong></p><ul><li>Introduction</li><li>Agenda And Principles Of Process Management</li><li>The Voice Of The Process</li><li>Working As One Team For Improvement</li><li>Exercise: The Voice Of The Customer</li><li>Tools For Data Analysis</li><li>The Pareto Chart</li><li>The Histogram</li><li>The Run Chart</li><li>Exercise: Presenting Performance Data</li><li>Understanding Variation</li><li>The Control Chart</li><li>Control Chart Example</li><li>Control Chart Special Cases</li><li>Interpreting The Control Chart</li><li>Control Chart Exercise</li><li>Strategies To Deal With Variation</li><li>Using Data To Drive Improvement</li><li>A Structure For Performance Measurement</li><li>Data Analysis Exercise</li><li>Course Project</li><li>Test Your Understanding</li></ul><p><strong>**Business Data Analysis**</strong></p><ul><li>Introduction To Business Analysis</li><li>Business Environment</li><li>Business Processes</li><li>Business Analysis Planning And Monitoring</li><li>Strategic Analysis And Product Scope</li><li>Solution Evaluation</li><li>Investigation Techniques</li><li>Ratio Analysis</li><li>Stakeholder Analysis And Management</li><li>Process Improvement With Gap Analysis</li><li>Documenting And Managing Requirements</li><li>Business Development And Succession Planning</li><li>Planning &amp; Forecasting Operations</li><li>Business Writing Skills</li></ul><p><strong>**Data Science &amp; Machine Learning with Python**</strong></p><ul><li>Course Overview &amp; Table Of Contents</li><li>Introduction To Machine Learning</li><li>System And Environment Preparation</li><li>Learn Basics Of Python - Assignment<br /><ul><li>Functions</li><li>Data Structures</li><li>NumPy Array</li><li>NumPy Data</li><li>NumPy Arithmetic</li><li>Learn Basics Of Matplotlib</li></ul></li><li>Learn Basics Of Pandas</li><li>Understanding The CSV Data File</li><li>Load And Read CSV Data File Using Python Standard Library<br /><ul><li>Using NumPy</li><li>Using Pandas</li></ul></li><li>Dataset Summary - Peek, Dimensions And Data Types<br /><ul><li>Class Distribution And Data Summary</li><li>Explaining Correlation</li><li>Explaining Skewness - Gaussian And Normal Curve</li></ul></li><li>Dataset Visualization - Using Histograms</li><li>Dataset Visualization - Using Density Plots</li><li>Dataset Visualization - Box And Whisker Plots</li><li>Multivariate Dataset Visualization - Correlation Plots</li><li>Multivariate Dataset Visualization - Scatter Plots</li><li>Data Preparation (Pre-Processing) - Introduction<br /><ul><li>Re-Scaling Data</li><li>Standardizing Data</li><li>Normalizing Data</li><li>Binarizing Data</li></ul></li><li>Feature Selection - Introduction<br /><ul><li>Uni-Variate Part</li><li>Recursive Feature Elimination</li><li>Principal Component Analysis (PCA)</li><li>Feature Importance</li></ul></li><li>Refresher Session - The Mechanism Of Re-Sampling, Training And Testing</li><li>Algorithm Evaluation Techniques - Introduction<br /><ul><li>Train And Test Set</li><li>K-Fold Cross Validation</li><li>Leave One Out Cross Validation</li><li>Repeated Random Test-Train Splits</li></ul></li><li>Algorithm Evaluation Metrics - Introduction<br /><ul><li>Classification Accuracy</li><li>Log Loss</li><li>Area Under ROC Curve</li><li>Confusion Matrix</li><li>Classification Report</li><li>Mean Absolute Error - Dataset Introduction</li><li>Mean Absolute Error</li><li>Mean Square Error</li><li>R Squared</li></ul></li><li>Classification Algorithm Spot Check - Logistic Regression<br /><ul><li>Linear Discriminant Analysis</li><li>K-Nearest Neighbors</li><li>Naive Bayes</li><li>CART</li><li>Support Vector Machines</li></ul></li><li>Regression Algorithm Spot Check - Linear Regression<br /><ul><li>Ridge Regression</li><li>Lasso Linear Regression</li><li>Elastic Net Regression</li><li>K-Nearest Neighbors</li><li>CART</li><li>Support Vector Machines (SVM)</li></ul></li><li>Compare Algorithms</li><li>Pipelines</li><li>Performance Improvement: Ensembles - Voting<br /><ul><li>Bagging</li><li>Boosting</li></ul></li><li>Performance Improvement: Parameter Tuning Using Grid Search</li><li>Performance Improvement: Parameter Tuning Using Random Search</li><li>Export, Save And Load Machine Learning Models : Pickle</li><li>Export, Save And Load Machine Learning Models : Joblib</li><li>Finalizing A Model - Introduction And Steps</li><li>Finalizing A Classification Model - The Pima Indian Diabetes Dataset</li><li>Quick Session: Imbalanced Data Set - Issue Overview And Steps</li><li>Iris Dataset : Finalizing Multi-Class Dataset</li><li>Finalizing A Regression Model - The Boston Housing Price Dataset</li><li>Real-Time Predictions: Using The Pima Indian Diabetes Classification Model</li><li>Real-Time Predictions: Using Iris Flowers Multi-Class Classification Dataset</li><li>Real-Time Predictions: Using The Boston Housing Regression Model</li></ul><p><strong>**R Programming for Data Science**</strong></p><ul><li>Data Science Overview</li><li>R And RStudio</li><li>Introduction To Basics</li><li>Vectors</li><li>Matrices</li><li>Factors</li><li>Data Frames</li><li>Lists</li><li>Relational Operators</li><li>Logical Operators</li><li>Conditional Statements</li><li>Loops</li><li>Functions</li><li>R Packages</li><li>The Apply Family - Lapply</li><li>The Apply Family - Sapply &amp; Vapply</li><li>Useful Functions</li><li>Regular Expressions</li><li>Dates And Times</li><li>Getting And Cleaning Data</li><li>Plotting Data In R</li><li>Data Manipulation With Dplyr</li></ul><p><strong>**Learn Python, JavaScript, and Microsoft SQL for Data science**</strong></p><ul><li>JavaScript Introduction</li><li>JavaScript Basics</li><li>JavaScript Operators</li><li>JavaScript Conditional Statements</li><li>JavaScript Control Flow Statements</li><li>JavaScript Functions</li><li>JavaScript Error Handling</li><li>JavaScript Client-Side Validations</li><li>Python Introduction</li><li>Python Basic</li><li>Python Strings</li><li>Python Operators</li><li>Python Data Structures</li><li>Python Conditional Statements</li><li>Python Control Flow Statements</li><li>Python Core Games</li><li>Python Functions</li><li>Python Args, KW Args For Data Science</li><li>Python Project</li><li>Python Object Oriented Programming [OOPs]</li><li>Python Methods</li><li>Python Class And Objects</li><li>Python Inheritance And Polymorphism</li><li>Python Encapsulation And Abstraction</li><li>Python OOPs Games</li><li>Python Modules And Packages</li><li>Python Error Handling</li><li>Microsoft SQL[MS] Introduction</li><li>MS SQL Statements</li><li>MS SQL Filtering Data</li><li>MS SQL Functions</li><li>MS SQL Joins</li><li>MS SQL Advanced Commands</li><li>MS SQL Structure And Keys</li><li>MS SQL Queries</li><li>MS SQL Structure Queries</li><li>MS SQL Constraints</li><li>MS SQL Backup And Restore</li></ul><h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <p><strong>Data Analysis course is ideal for:</strong></p><ul><li>Professionals working in fields such as finance, business, and healthcare who need to analyse data and make decisions based on their findings.</li><li>Students and researchers who want to develop their skills in data analysis and visualisation using Excel.</li><li>Individuals who are looking to pursue a career in data analysis and want to gain a foundational understanding of Excel and its capabilities.</li><li>Business owners and entrepreneurs who want to learn how to use Excel to analyse and interpret data for their own businesses.</li><li>Anyone who wants to improve their data analysis skills for personal or professional purposes and gain proficiency in Excel as a tool for data analysis.</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>There are no specific prerequisites to enrol in Data analysis course. <strong>Anyone and everyone</strong> can take this course.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>The course will assist you in establishing a solid understanding of data analysis. After the course, you will be able to explore career options such as:</p><ul><li><strong>Data Analyst </strong>(Average annual salary £35,000)</li><li><strong>Research Analyst</strong> (Average annual salary £28,552)</li><li><strong>Business Analyst</strong> (Average annual salary £42,618)</li><li><strong>Risk Analyst </strong>(Average annual salary £41,340)</li><li><strong>Financial Analyst</strong> (Average annual salary £50,300)</li></ul>
                        </div>

One Education

Data Analyst : Data Analyst Course

<p>Give a compliment to your career and take it to the next level. This <strong>SQL (Structured Query Language) </strong>will provide you with the essential knowledge and skills required to shine in your professional career. Whether you want to develop skills for your next job or want to elevate skills for your next promotion, this coursewill help you keep ahead of the pack.</p> <p>The <strong>course </strong>incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can reinforce your professional skills and essential knowledge, reaching out to the level of expertise required for your position. Further, this <strong>SQL (Structured Query Language) </strong>will add extra value to your resume to stand out to potential employers.</p> <p>Throughout the programme, it stresses how to improve your competency as a person in your profession while at the same time it outlines essential career insights in this job sector. Consequently, you'll strengthen your knowledge and skills; on the other hand, see a clearer picture of your career growth in future. By the end of the <strong> SQL (Structured Query Language),</strong> you can equip yourself with the essentials to keep you afloat into the competition.</p> <p>Along with this <strong>SQL (Structured Query Language) </strong>course<strong>,</strong> you will get 10 other premium courses. Also, you will get an original Hardcopy and PDF certificate for the title course and a student ID card absolutely free.</p> <p><strong>This Bundle Consists of the following Premium courses: </strong></p> <ul> <li><strong>Course 01: </strong>SQL Server for Beginners</li><li><strong>Course 02: </strong>Microsoft SQL Server Development for Everyone</li><li><strong>Course 03: </strong>Python for Data Analysis</li><li><strong>Course 04: </strong>Coding with HTML, CSS, &amp; JavaScript</li><li><strong>Course 05: </strong>Modern Web Designing - Level 2</li><li><strong>Course 06: </strong>Diploma in PHP Web Development</li><li><strong>Course 07: </strong>Front End Web Development Diploma</li><li><strong>Course 08: </strong>Secure Programming of Web Applications</li><li><strong>Course 09: </strong>Linux for Absolute Beginners!</li><li><strong>Course 10: </strong>Ethical Hacking</li><li><strong>Course 11: </strong>Creativity and Problem Solving Skills</li></ul> <p>So, enrol now to advance your career!</p> <p><strong>Benefits you'll get choosing Apex Learning for this SQL (Structured Query Language):</strong></p> <ul> <li>One payment, but lifetime access to 11 CPD courses</li><li>Certificate, student ID for the title course included in a one-time fee</li><li>Full tutor support available from Monday to Friday</li><li>Free up your time - don't waste time and money travelling for classes</li><li>Accessible, informative modules taught by expert instructors</li><li>Learn at your ease - anytime, from anywhere</li><li>Study the course from your computer, tablet or mobile device</li><li>CPD accredited course - improve the chance of gaining professional skills</li></ul> <p><strong>How will I get my Certificate?</strong></p> <p>After successfully completing the course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement.</p> <ul> <li><strong>PDF Certificate: Free (Previously it was £6*11 = £66)</strong></li><li><strong>Hard Copy Certificate: Free (For The Title Course: Previously it was £10)</strong></li></ul><p><strong>Curriculum of the Bundle</strong></p> <p><strong>Course 01: SQL Server for Beginners</strong></p> <ul> <li>Introduction</li><li>Setup</li><li>Basic queries</li><li>Security</li><li>MSSQL and different drivers</li><li>Files</li><li>General</li></ul> <p><strong>Course 02: Microsoft SQL Server Development for Everyone</strong></p> <ul> <li>Introduction</li><li>Manipulating Tables and Data</li><li>Relationships Foreign Keys</li><li>Group By and Aggregate Functions</li><li>Advanced Server Objects and Concepts</li></ul> <p><strong>Course 03: Python for Data Analysis</strong></p> <ul> <li>Welcome, Course Introduction &amp; overview, and Environment set-up</li><li>Python Essentials</li><li>Python for Data Analysis using NumPy</li><li>Python for Data Analysis using Pandas</li><li>Python for Data Visualization using matplotlib</li><li>Python for Data Visualization using Seaborn</li><li>Python for Data Visualization using pandas</li><li>Python for interactive &amp; geographical plotting using Plotly and Cufflinks</li><li>Capstone Project - Python for Data Analysis &amp; Visualization</li><li>Python for Machine Learning (ML) - scikit-learn - Linear Regression Model</li><li>Python for Machine Learning - scikit-learn - Logistic Regression Model</li><li>Python for Machine Learning - scikit-learn - K Nearest Neighbors</li><li>Python for Machine Learning - scikit-learn - Decision Tree and Random Forests</li><li>Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs)</li><li>Python for Machine Learning - scikit-learn - K Means Clustering</li><li>Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA)</li><li>Recommender Systems with Python - (Additional Topic)</li><li>Python for Natural Language Processing (NLP) - NLTK - (Additional Topic)</li></ul> <p><strong>Course 04: Coding with HTML, CSS, &amp; Javascript</strong></p> <ul> <li>Welcome</li><li>HTML 5</li><li>CSS 3</li><li>Bootstrap</li><li>Project 1 - Design a Landing Page</li><li>Project 2 - Business Website</li><li>SProject 3 - Portfolio</li></ul> <p><strong>Course 05: Modern Web Designing - Level 2</strong></p> <p><strong>Module: 01</strong></p> <ul> <li>1.1 Intro</li><li>1.2 Install the Tools and Get Started</li></ul> <p><strong>Module: 02</strong></p> <ul> <li>2.1 Intro to HTML</li><li>2.2 What is HTML</li><li>2.3 Start a New HTML File &amp; Use Tags</li><li>2.4 Header Tags</li><li>2.5 Edit Text</li><li>2.6 Links</li><li>2.7 Images</li><li>2.8 Lists</li><li>2.9 Challenge</li><li>2.10 HTML Outro</li></ul> <p><strong>Module: 03</strong></p> <ul> <li>3.1 CSS Intro</li><li>3.2 Add CSS Styles</li><li>3.3 Classes and IDs</li><li>3.4 Borders</li><li>3.5 Sizing</li><li>3.6 Padding and Margin</li><li>3.7 Text Styles</li><li>3.8 DIVs</li><li>3.9 Postioning</li><li>3.10 Hover</li><li>3.11 Easily Center Elements</li><li>3.12 Fonts</li><li>3.13 Challenge</li><li>3.14 CSS Outro</li></ul> <p><strong>Module: 04</strong></p> <ul> <li>4.1 Intro to Bootstrap</li><li>4.2 Install Bootstrap</li><li>4.3 Indenting and Containers</li><li>4.4 The Grid System</li><li>4.5 Images</li><li>4.6 Buttons</li><li>4.7 Challenge</li><li>4.8 Bootstrap Outro</li></ul> <p><strong>Module: 05</strong></p> <ul> <li>5.1 Landing Page Intro</li><li>5.2 Sketch Your Landing Page</li><li>5.3 The Top Section</li><li>5.4 Polish the Top Section</li><li>5.5 Adding Images</li><li>5.6 The Main Points Section</li><li>5.7 Collecting Emails With an Opt-In Form</li><li>5.8 Challenge</li><li>5.9 Landing Page Outro</li></ul> <p><strong>Module: 06</strong></p> <ul> <li>6.1 Business Site Intro</li><li>6.2 Sketch Up</li><li>6.3 Using Fancy Font Logo</li><li>6.4 Carousel Basics</li><li>6.5 Carousel Extras</li><li>6.6 Text on Images</li><li>6.7 Phone Number Icon</li><li>6.8 Google Maps</li><li>6.9 Font Awesome</li><li>6.10 Challenge</li><li>6.11 Business Site Outro</li></ul> <p><strong>Module: 07</strong></p> <ul> <li>7.1 Intro</li><li>7.2 Portfolio Sketch</li><li>7.3 Jumbotron</li><li>7.4 Nav Bar</li><li>7.5 Panels</li><li>7.6 Challenge</li><li>7.7 Portfolio Outre</li></ul> <p><strong>Module: 08</strong></p> <ul> <li>8.1 Hosting</li><li>8.2 Bluehost</li><li>8.3 Uploading</li><li>8.4 Tips</li><li>8.5 Hosting Outro</li></ul> <p><strong>Course 06: Diploma in PHP Web Development </strong></p> <ul> <li>Unit 01: Introduction</li><li>Unit 02: Environment Configuration</li><li>Unit 03: PHP Basics and Syntax</li><li>Unit 04: PHP Forms and MySQL and User Authentication</li></ul> <p><strong>Course 07: Front End Web Development Diploma</strong></p> <ul> <li>Welcome to the course!</li><li>Web Development Basics - HTML</li><li>Advanced HTML Concepts</li><li>Introduction to Cascading Style Sheets (CSS)</li><li>Advanced CSS</li><li>JavaScript for Begeinners</li><li>More JavaScript Concepts</li><li>Getting Started with jQuery</li><li>More jQuery</li><li>Bootstrap Basics</li><li>Project #2 - Pipboy from Fallout 4</li><li>Project #3 - Google Chrome Extension</li><li>BONUS - Coding Another Google Chrome Extension</li></ul> <p><strong>Course 08: Secure Programming of Web Applications</strong></p> <ul> <li>Section 01: Introduction</li><li>Section 02: Well-known Vulnerabilities and Secure Programming</li><li>Section 03: Conclusion and Summary</li></ul> <p><strong>Course 09: Linux for Absolute Beginners!</strong></p> <ul> <li>Introduction to Linux</li><li>Linux Installation</li><li>Linux Command Line Interface (CLI) Essentials</li><li>Advanced CLI Usage</li><li>Linux Development Tools</li><li>Web Development Project</li><li>Web Server Setup, Host Cofiguration and App Deployment</li><li>Linux User Management</li><li>Linux Network Administration</li></ul> <p><strong>Course 10: Ethical Hacking</strong></p> <ul> <li>Introduction to Ethical Hacking</li><li>Reconnaissance - Surveying the Attack Surface</li><li>Scanning and Enumeration - Getting Down to Business</li><li>Network Presence</li><li>Attacking</li><li>Web Hacking</li><li>Social Engineering - Hacking Humans</li></ul> <p><strong>Course 11: Creativity and Problem Solving Skills</strong></p> <ul> <li>Getting Started</li><li>The Problem Solving Method</li><li>Information Gathering</li><li>Problem Definition</li><li>Preparing for Brainstorming</li><li>Generating Solutions (I)</li><li>Generating Solutions (II)</li><li>Analyzing Solutions</li><li>Selecting a Solution</li><li>Planning Your Next Steps</li><li>Recording Lessons Learned</li></ul><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        135 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>Anyone from any background can enrol in this <strong>SQL (Structured Query Language) </strong>bundle<strong>. </strong>Persons with similar professions can also refresh or strengthen their skills by enrolling in this course. Students can take this course to gather professional knowledge besides their study or for the future.</p> 
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                             <p>Our <strong>SQL (Structured Query Language) </strong>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>There is no time limit for completing this course, it can be studied in your own time at your own pace.</p> 
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                             <p>Having these various expertise will increase the value in your CV and open you up to multiple job sectors.</p> 
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

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

                        </div>

SQL - CPD Accredited

<p><strong>&gt;&gt; 12-Hour Knowledge Knockdown! Prices Reduced Like Never Before &lt;&lt;</strong></p><p>In the era of big data, the demand for skilled data science professionals has skyrocketed in the UK. According to a recent report, the data science job market in the UK is expected to grow by over <strong>25% by 2026</strong>. Aside from that, Candidates with data science skills have a <strong>96% </strong>employment rate and can earn on average <strong>£40,000 per year.</strong> Our Complete Data Science bundle is about to take you on a tour starting from the beginning.</p><p><strong>This CCTV Operator Training Bundle Contains 4</strong><strong> of Our Premium Courses for One Discounted Price:</strong></p><ul><li><strong> Course 01: </strong>Complete Data Science</li><li><strong> Course 02:</strong> Data Science with Python</li><li><strong> Course 03: </strong>Information Management</li><li><strong> Course 04:</strong> GDPR Data Protection</li></ul><p>Take our Complete Data Science Bundle to learn how to maximise your potential and climb your chosen professional ladder. By participating in these popular courses, you can learn the fundamentals of Python. Discover Python data types. Loops, list comprehension, functions, lambda expressions, maps, and filters should all be taught. Learn about the numpy. Indexing, slicing, broadcasting, and boolean masking are all covered in our Complete Data Science course. Recognise arithmetic and universal functions. Discover everything there is to know about pandas. Learn how to use Python to become an expert in data analysis and visualisation.</p><p><strong>Learning Outcomes of Data Science</strong></p><ul><li>Develop a comprehensive understanding of the data science lifecycle.</li><li>Master data analysis techniques and Python programming for data manipulation.</li><li>Gain proficiency in information management and data organization strategies.</li><li>Understand data protection regulations, including GDPR, and their implications.</li><li>Learn to build robust data-driven applications and predictive models.</li><li>Enhance data visualization skills for effective communication of insights.</li></ul><p>Invest in your future by enrolling today and gain a competitive edge in the rapidly evolving field of data science.</p><p><strong>Why Choose Our Data Science </strong>b<strong>und;e?</strong></p><ul><li>Get a <strong>Free CPD Accredited Certificate</strong> upon completion of Data Science</li><li>Get a <strong>free student ID card</strong> with Data Science Training</li><li>The Data Science is affordable and simple to understand</li><li><strong>Lifetime access</strong> to the Data Science course materials</li><li>The Data Science comes with 24/7 tutor support</li></ul> <p>Start your learning journey straightaway!</p><p><strong>*** Course Curriculum ***</strong></p><p><strong> Course 01: Complete Data Science</strong></p><ul><li>Welcome, Course Introduction &amp; overview, and Environment set-up</li><li>Python Essentials</li><li>Python for Data Analysis using NumPy</li><li>Python for Data Analysis using Pandas</li><li>Python for Data Visualization using matplotlib</li><li>Python for Data Visualization using Seaborn</li><li>Python for Data Visualization using pandas</li><li>Python for interactive &amp; geographical plotting using Plotly and Cufflinks</li><li>Capstone Project - Python for Data Analysis &amp; Visualization</li><li>Python for Machine Learning (ML) - scikit-learn - Linear Regression Model</li><li>Python for Machine Learning - scikit-learn - Logistic Regression Model</li><li>Python for Machine Learning - scikit-learn - K Nearest Neighbors</li><li>Python for Machine Learning - scikit-learn - Decision Tree and Random Forests</li><li>Python for Machine Learning - scikit-learn - Support Vector Machines (SVMs)</li><li>Python for Machine Learning - scikit-learn - K Means Clustering</li><li>Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA)</li><li>Recommender Systems - (Additional Topic)</li><li>Natural Language Processing (NLP) - NLTK - (Additional Topic)</li></ul><p><strong> Course 02: Data Science with Python</strong></p><ul><li>Unit 01: Introduction To Python Data Science</li><li>Unit 02: Data Cleaning Packages</li><li>Unit 03: Data Visualization Packages</li></ul><p><strong> Course 03: Information Management</strong></p><ul><li>Module 01: Introduction To Information Management</li><li>Module 02: Information Management Strategy</li><li>Module 03: Databases And Information Management</li><li>Module 04: Management Information Systems (MIS)</li><li>Module 05: Auditing Information Systems</li><li>Module 06: Ethical And Social Issues And Data Protection</li></ul><p><strong> Course 04: GDPR Data Protection</strong></p><ul><li>Module 01: Basics Of GDPR</li><li>Module 02: Principles Of GDPR</li><li>Module 03: Legal Foundation For Processing</li><li>Module 04: Rights Of Individuals</li><li>Module 05: Accountability And Governance</li><li>Module 06: Data Protection Officer</li><li>Module 07: Security Of Data</li><li>Module 08: Personal Data Breaches</li><li>Module 09: International Data Transfers After The Brexit</li><li>Module 10: Exemptions - Part One</li></ul><p>and much more...</p><p><strong>How will I get my Certificate?</strong></p><p>After successfully completing the course, you will be able to order your Certificates as proof of your achievement.</p><ul><li><strong>PDF Certificate: Free</strong> (Previously it was £12.99*4 = £51)</li><li><strong>CPD Hard Copy Certificate: </strong><strong>£29.99 </strong>(Each)</li></ul> <h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <p>This Data Science bundle is suitable for everyone. This bundle is ideal for:</p><ul><li>Data scientist</li><li>Data analyst-statistician</li><li>CSE Students</li><li>Interns</li><li>App Developer</li><li>Coders'</li></ul>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>You will not need any prior background or expertise to enrol in this Data Science bundle.</p>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>This Data Science Training bundle will allow you to kickstart or take your career in the related sector to the next stage.</p><ul><li>Data Analyst</li><li>Data Scientist</li><li>Business Analyst</li><li>Marketing Analyst</li><li>Data Engineer</li></ul>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Accredited Digital Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
            <div><p>Upon passing the Course, you need to order a <strong>Digital Certificate</strong> for each of the courses inside this bundle as proof of your new skills that are accredited by <strong>CPD QS </strong>for Free.</p></div>
        <h4>CPD Accredited Hard Copy Certificate</h4>
        <p>
            Hard copy certificate -
            £29
        </p>
            <div><p><em>Please note that International students have to pay an additional £10 as a shipment fee.</em><em><br /></em></p></div>

                        </div>

Complete Data Science - CPD Certified

<p><strong>***24 Hour Limited Time Flash Sale***<br /><br /> Master GIS: ArcGIS for Hydrology, Spatial Analysis, Remote Sensing &amp; Cartography Admission Gifts <br /><br /> FREE PDF &amp; Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter</strong></p><p>Have you ever dreamed of turning your love for maps and data into a fulfilling career? The geospatial science field is booming in the UK, but a recent study by the Chartered Institute of Environmental Management revealed a shocking fact: <strong>72%</strong> of environmental consultancies are struggling to find qualified professionals with the right GIS and data analysis skills. That's where our Master GIS program comes in!</p><p>This Master GIS program provides in-depth training on ArcGIS, the industry-standard GIS software. You'll master essential skills like spatial analysis, remote sensing for data collection, and creating professional maps using both ArcGIS and open-source QGIS. Additionally, you'll gain expertise in Python programming, data visualisation, and web mapping, making you a highly sought-after geospatial professional.</p><p><strong>With this Master GIS: ArcGIS for Hydrology, Spatial Analysis, Remote Sensing &amp; Cartography bundle, you will get 20 CPD Accredited PDF Certificates, Hard Copy Certificates, and our exclusive student ID card, all absolutely free.</strong></p><p><strong>Courses Are Included In this Master GIS: ArcGIS for Hydrology, Spatial Analysis, Remote Sensing &amp; Cartography Career Bundle:</strong></p><ul><li><strong> Course 01: </strong>Diploma in ArcGIS for Hydrology at QLS Level 4</li><li><strong> Course 02:</strong> Award in Spatial Analysis in ArcGIS at QLS Level 2</li><li><strong> Course 03:</strong> Remote Sensing in ArcGIS</li><li><strong> Course 04:</strong> QGIS Cartography</li><li><strong> Course 05:</strong> Business Intelligence and Data Mining Diploma</li><li><strong> Course 06:</strong> Python Data Science</li><li><strong> Course 07: </strong>Spatial Data Visualization and Machine Learning in Python Level 4</li><li><strong> Course 08</strong>: Web Scraping and Mapping Dam Levels in Python and Leaflet Level 4</li><li><strong> Course 09: </strong>Maps in R Shiny and Leaflet</li><li><strong> Course 10:</strong> Create Smart Maps in Python and Leaflet Level 3</li><li><strong> Course 11: </strong>Advanced Diploma in Geology</li><li><strong> Course 12: </strong>Structural Geology, Tectonics &amp; Rock Mechanics</li><li><strong> Course 13:</strong> Geospatial Technology, Remote Sensing and Web Mapping</li><li><strong> Course 14:</strong> Environmental Management</li><li><strong> Course 15:</strong> Environmental Law</li><li><strong> Course 16:</strong> Carbon Literacy Project</li><li><strong> Course 17:</strong> Forensic Anthropology</li><li><strong> Course 18:</strong> Autocad Design</li><li><strong> Course 19:</strong> Meteorology</li><li><strong> Course 20: </strong>Architectural Studies</li></ul><p>Invest in Your Future: Whether you're looking to launch a new career in GIS or enhance your existing skillset, this course bundle is your perfect starting point. Take your first step towards a rewarding career - enrol today!</p><p><strong>Learning Outcomes of Master GIS: ArcGIS for Hydrology</strong></p><ul><li>Apply advanced ArcGIS techniques for hydrological analysis.</li><li>Conduct spatial analysis to uncover hidden patterns in geospatial data.</li><li>Utilise remote sensing imagery to extract valuable information.</li><li>Create professional and informative maps using ArcGIS and QGIS.</li><li>Analyse and visualise spatial data using Python libraries.</li><li>Develop interactive web maps using Python and Leaflet.</li></ul><p><strong>Why Choose Us?</strong></p><ul><li>Get a <strong>Free CPD Accredited Certificate</strong> upon completion of Master GIS: ArcGIS for Hydrology</li><li>Get a <strong>free student ID card</strong> with Master GIS: ArcGIS for Hydrology Training program (£10 postal charge will be applicable for international delivery)</li><li>The Master GIS: ArcGIS for Hydrology is <strong>affordable and simple</strong> to understand</li><li>This course is <strong>entirely online, interactive lesson</strong> with voiceover audio</li><li>Get <strong>Lifetime access</strong> to the Master GIS: ArcGIS for Hydrology course materials</li><li>The Master GIS: ArcGIS for Hydrology comes with <strong>24/7 tutor support</strong></li></ul> <p>Take a step toward a brighter future!</p><p><strong>*** Course Curriculum ***</strong></p><p><strong> Course 01: Diploma in ArcGIS for Hydrology at QLS Level 4</strong></p><p>Section 01: Introduction To ArcGIS Software</p><ul><li>Introduction to ArcGIS software</li><li>Selection by Location, attributes, clip features and tables to Excel</li><li>Performing actions on the data: change the projections, dissolve, clip</li><li>From .TXT and .DXF to shapefile</li><li>Calculations with attribute table and KML files in ArcMap</li><li>Export from ArcMap to PDF</li><li>ArcScene 3D</li><li>GIS Example Test</li><li>AutoCAD fixing polygon coordinates</li></ul><p>Section 02: ArcGIS For Hydrology</p><ul><li>Download hydrological data</li><li>Calculate flow direction and flow accumulation</li><li>Watershed delineation</li><li>Clip layers to watershed boundary</li><li>Stream segments and catchments areas</li><li>Stream order convert to vector</li><li>Spatial join to catchments</li><li>Join stream id to stream order</li><li>Map data and initial layout</li><li>Add and format map elements</li></ul><p><strong> Course 02: Award in Spatial Analysis in ArcGIS at QLS Level 2</strong></p><ul><li>Module 01: Point Density Analysis</li><li>Module 02: Raster Calculator and Vector Isolation</li><li>Module 03: Raster to Topography</li><li>Module 04: Raster Reclassification</li><li>Module 05: Raster Overlay</li><li>Module 06: Slope Analysis and Hydrology tools</li><li>Module 07: Introduction to TIFF Files</li><li>Module 08: Introduction to 3D Surfaces</li><li>Module 09: Satellite Images and TIN Surfaces</li><li>Module 10: Exercise</li></ul><p><strong> Course 03: Remote Sensing in ArcGIS</strong></p><ul><li>Module 01: Remote sensing, satellite images, spectral bands introduction</li><li>Module 02: Layers stacking satellite images</li><li>Module 03: Georeferencing satellite images</li><li>Module 04: Introduction to geoprocessing raster tools</li><li>Module 05: Raster Analysis Functions</li><li>Module 06: Georeferencing toposheet</li><li>Module 07: Site suitability using weighted overlay analysis - part 1</li><li>Module 08 Site suitability using weighted overlay analysis - part 2</li><li>Module 09: Watershed Delineation from DEM</li><li>Module 10: Unsupervised classification</li></ul><p><strong>=========&gt;&gt;&gt;&gt;&gt; And 17 More Courses &lt;&lt;&lt;&lt;&lt;=========</strong></p><p><strong>How will I get my Certificate?</strong></p><p>After successfully completing the course, you will be able to order your Certificates as proof of your achievement.</p><ul><li><strong>PDF Certificate: </strong><strong>Free </strong>(Previously it was £12.99*20 = £259)</li><li><strong>CPD Hard Copy Certificate: </strong>Free ( For The First Course: Previously it was £29.99)</li><li><strong>QLS Endorsed Hard Copy Certificate: </strong>£79)</li></ul> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        200 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>Anyone interested in learning more about the topic is advised to take this bundle. This bundle is ideal for:</p><ul><li>GIS enthusiasts</li><li>Environmental scientists</li><li>Urban planners</li><li>Data analysts</li><li>Geographers</li></ul>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>You will not need any prior background or expertise to enrol in this course.</p>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>After completing this course, you are to start your career or begin the next phase of your career.</p><ul><li>GIS Analyst</li><li>Cartographer</li><li>Environmental Consultant</li><li>Data Scientist</li><li>Web Developer</li><li>Planner</li></ul>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Accredited Digital Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
            <div><p>Upon passing the Course, you need to order a <strong>Digital Certificate</strong> for each of the courses inside this bundle as proof of your new skills that are accredited by <strong>CPD QS </strong>for Free.</p></div>
        <h4>CPD Accredited Hard Copy Certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div><p><em>Please note that International students have to pay an additional £10 as a shipment fee.</em></p></div>
        <h4>Award in Spatial Analysis in ArcGIS at QLS Level 2</h4>
        <p>
            Hard copy certificate -
            £79
        </p>
            <div><p><em>Please note that International students have to pay an additional £10 as a shipment fee.</em></p></div>

                        </div>

Master GIS: ArcGIS for Hydrology, Spatial Analysis, Remote Sensing & Cartography

<p><strong>***Don't Spend More; Spend Smart with This 14 in 1 Data Science Bundle***</strong></p><p><strong>Get Hard Copy + PDF Certificates + Transcript + Student ID Card + e-Learning App as a Gift - Enrol Data Science Bundle Now</strong></p><p>Tired of browsing and searching for the Data Science course you are looking for? Can't find the complete package that fulfils all your needs? Then don't worry, as you have just found the solution. Take a minute and look through this 14-in-1 extensive Data Science bundle that has everything you need to succeed in <strong>Data Science </strong>and other relevant fields!</p><p>After surveying thousands of learners just like you and considering their valuable feedback, this all-in<strong>-</strong>one <strong>Data Science </strong>bundle has been designed by industry experts. We prioritised what learners were looking for in a complete package and developed this in-demand course that will enhance your Data Science skills and prepare you for the competitive job market.</p><p>Furthermore, to help you showcase your expertise in <strong>Data Science, </strong> we have prepared a special gift of 1 hardcopy certificate and 1 PDF certificate for the title course completely free of cost. These certificates will enhance your credibility and encourage possible employers to pick you over the rest.</p><p><strong>This Data Science Bundle Consists of the following Premium courses: </strong></p><ul><li><strong>Course 01: </strong>Data Analysis</li><li><strong>Course 02: </strong>Data Science &amp; Machine Learning with Python</li><li><strong>Course 03: </strong>R Programming for Data Science</li><li><strong>Course 04: </strong>Statistics &amp; Probability for Data Science &amp; Machine Learning</li><li><strong>Course 05: </strong>Complete Google Analytics Course</li><li><strong>Course 06: </strong>Excel Data Analysis for Beginner</li><li><strong>Course 07: </strong>Introduction to Data Analysis</li><li><strong>Course 08: </strong>Data Analysis in Excel Level 3 Course</li><li><strong>Course 09: </strong>Google Data Studio: Data Analytics</li><li><strong>Course 10: </strong>Data Center Training Essentials: General Introduction</li><li><strong>Course 11: </strong>SQL Programming Masterclass</li><li><strong>Course 12: </strong>Web Scraping and Mapping Dam Levels in Python and Leaflet Level 4</li><li><strong>Course 13: </strong>Learn to Use Python for Spatial Analysis in ArcGIS</li><li><strong>Course 14: </strong>GDPR Data Protection Level 5</li></ul><p>So enrol now in this Data science bundle to kick-start/ advance your career!</p><p>Curriculum of <strong>Data Science Bundle</strong></p><p><strong>Data Science with Python</strong></p><ul><li>Introduction to Python Data Science</li><li>Data Cleaning Packages</li><li>Data Visualization packages</li></ul><p><strong>How will I get my Data Science Certificate?</strong></p><p>After successfully completing the <strong>Data Science </strong>course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement.</p><ul><li><strong>PDF Certificate: Free (For The Title Course)</strong></li><li><strong>Hard Copy Certificate: Free (For The Title Course)</strong></li></ul><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        145 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>Anyone from any background can enrol in this <strong>Data Science </strong>bundle including;</p><ul><li>Administrator</li><li>&amp; Data Analyst</li><li>Architect</li><li>Cabler</li><li>Manager</li><li>Centre Manager</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>Our <strong>Data science</strong>course is fully compatible with PC's, Mac's, laptops, tablets and Smartphone devices.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Having this <strong>Data science </strong>expertise will increase the value of your CV and open you up to multiple job sectors. Explore</p><ul><li>Data Science<br /><ul><li>Administrator</li><li>Data Analyst</li><li>Architect</li><li>Cabler</li><li>Manager</li><li>Centre Manager</li></ul></li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

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

                        </div>

Data Science - CPD Accredited

<strong>An intermediate-level course that will help you improve your Power BI skills and become an expert data analyst or data scientist. The course is carefully structured to provide an in-depth understanding of Microsoft Power BI and its features, along with some important tips and tricks.</strong>
        <p>Microsoft Power BI is an advanced yet easy-to-get-started self-service business analytics/business intelligence solution. Power BI is also a great tool for data science. A lot of data scientists like to use it for visualizing and presenting the findings. Therefore, learning to use this tool can be a valuable skill for data science jobs.

This course is divided into six sections. We will first start with understanding DAX table calculations with Power BI Desktop and Excel and master DAX. In the second section, we will learn Microsoft Power BI tips and tricks from project experience and research. In the third section, we will be solving data prep challenges. In the fourth section, we will master advanced DAX calculations and build on your acquired knowledge from the prior sections.

In section five, we will be combining data science tools such as Python with Power BI. In the last section, we will cover Power BI best practices, Power BI Calculation Groups, Power BI Charticulator, Power BI performance tips, and Power BI AI.

By the end of this course, you will have the skills and capabilities to analyze and understand data with Power BI.

The complete course bundle is available at https://github.com/PacktPublishing/Power-BI-Masterclass</p>
        <h2>What You Will Learn</h2><p>Understand DAX Logic and Table Calculations<br>Learn Power BI tips and tricks from project experience and research<br>Solve common Power BI data preparation issues<br>Learn how to improve the look and feel of standard dashboards<br>Combine data science tools such as Python with Power BI<br>Learn how to start creating your own custom visuals without coding</p>
        <h2>Audience</h2><p>The course is not meant for total beginners. You should have some prior knowledge of Power BI. This course is for data analysts and everyone who strives for a career in data analytics.</p>
        <h2>Approach</h2><p>This is a hands-on course where we will use Microsoft Power BI Desktop to gain skills that would help us analyze and understand data.</p>
        <h2>Key Features</h2><p>Learn to handle many-to-many relationships in Power BI * Master DAX and use Python with data science tools * Learn additional tips and tricks to improve your skills</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Power-BI-Masterclass</p>
        <h2>About the Author</h2><h3>Dan We</h3><p>Dan We is a 32-year-old entrepreneur, data scientist, and data analytics/visual analytics consultant. He holds a master's degree and is certified in Power BI as a qualified associate in Tableau. He is currently working in business intelligence and helps major companies get key insights from their data in order to deliver long-term growth and outpace their competitors.

He is committed to supporting other people by offering them educational services to help them accomplish their goals and become the best in their profession or explore a new career path.</p>
        <h2>Course Outline</h2><h4>1. DAX, Excel, and More</h4><p></p><br><h4>2. Additional Tips and Tricks</h4><p></p><br><h4>3. Solving Data Prep Challenges</h4><p></p><br><h4>4. DAX, R, and Gateways</h4><p></p><br><h4>5. Python Finance and Advanced DAX</h4><p></p><br><h4>6. The Next Level</h4><p></p>

Data Analysis

An intermediate-level course that will help you improve your Power BI skills and become an expert data analyst or data scientist. The course is carefully structured to provide an in-depth understanding of Microsoft Power BI and its features, along with some important tips and tricks.

Power BI Masterclass

<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>

Nexus Human

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

IT Certifications

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


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

Python Certification - IT Job Ready Program with Money Back Guarantee

<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>

Python

Programming

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

Python for Beginners: Learn Python Programming (Python 3)

<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 Skills

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

<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

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.

<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>

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                                <div>
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                                        100 CPD hours / points
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                                            Accredited by CPD Quality Standards
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                        </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

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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).

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<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>

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