Name: Complete Python Course with 10 Real-World Projects
Price: 82.99 GBP
Availability: InStock

Janets

Coordinate Measuring Machine (CMM)

Machine Learning (ML)

Data Science

Python

Discover the power of data science and machine learning with Python! Learn essential techniques, algorithms, and tools to analyze data, build predictive models, and unlock insights. Dive into hands-on projects, from data manipulation to advanced machine learning applications. Elevate your skills and unleash the potential of Python for data-driven decision-making.

Data Science & Machine Learning With Python

General Admission

<p>Data scientists are among the most sought-after professionals in today's job market. According to recent statistics, the demand for skilled data scientists has increased by a staggering 40% in the past year alone. So, seize this opportunity with our comprehensive "Data Science Masterclass" bundle, meticulously crafted to propel you into the heart of the data-driven revolution.</p><p>Kickstart your journey with the foundational "Quick Data Science Approach from Scratch" and "Data Science &amp; Machine Learning with Python" courses, equipping you with essential skills from the get-go. As you progress through the carefully designed curriculum, you will get to explore the intricacies of statistics, probability, R programming, MySQL, and SQL - each a stepping stone towards mastering the art of data science. These courses are not just building blocks but the cornerstone of your future success in the data science industry.</p><p>Embark on a transformative learning experience, gaining proficiency in Python, JavaScript, Microsoft SQL, MySQL Database Development, and Data Analysis in Excel. The finale, "Data Protection," ensures you understand the ethical and legal aspects of handling data. Elevate your career prospects and become an indispensable asset in any data-centric domain.</p><p>Don't let this opportunity pass you by; enrol in the bundle right now and sculpt your path to becoming a proficient data scientist!</p><p><strong>What will you learn from this CPDQS Accredited Data Science Masterclass Bundle?</strong></p><p>By the end of this bundle, you should be able to:</p><ul><li>Apply Python for data manipulation, analysis, and machine learning.</li><li>Master statistical concepts crucial for data science and machine learning.</li><li>Harness R programming for effective data analysis and visualization.</li><li>Build and manage MySQL databases for data storage and retrieval.</li><li>Integrate Python, JavaScript, and Microsoft SQL in data science projects.</li><li>Demonstrate proficiency in data analysis using Excel tools.</li></ul><p>This comprehensive "Data Science Masterclass" bundle covers a spectrum of essential skills. Begin with foundational data science principles and Python programming. Progress to mastering statistical concepts vital for data analysis and machine learning. Learn R programming for effective data manipulation and visualisation. Explore database development with MySQL and delve into integrating Python, JavaScript, and Microsoft SQL. Cap it off with advanced data analysis in Excel and a focus on ethical data protection practices. This bundle ensures a holistic and practical approach to becoming a proficient data scientist.</p><p>This Data Science Masterclass bundle consists of the following 11 courses:</p><ol><li>Quick Data Science Approach from Scratch</li><li>Data Science &amp; Machine Learning with Python</li><li>Statistics &amp; Probability for Data Science &amp; Machine Learning</li><li>R Programming for Data Science</li><li>Learn MySQL from Scratch for Data Science and Analytics</li><li>Learn Python, JavaScript, and Microsoft SQL for Data science</li><li>SQL for Data Science, Data Analytics and Data Visualization</li><li>Python Data Science</li><li>MySQL Database Development</li><li>Data Analysis In Excel</li><li>Data Protection</li></ol><p><strong>Certification</strong><br />Once you have finished the course, you will be eligible to apply for a CPD QS accredited certificate as proof of your new skills and your continued professional development.<br />The learner will get FREE PDF Certificate for the Quick Data Science Approach from Scratch course.<br />For the rest of the courses the following fee structure will be applicable.</p><ul><li>CPD QS Accredited PDF Certificate: £9</li><li>CPD QS Accredited Hardcopy Certificate: £15 (Additional £10 will be charged for International Students).</li></ul><h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <ul><li>Aspiring Analysts</li><li>Tech Enthusiasts</li><li>Excel Users</li><li>Programming Beginners</li><li>Data Curious Individuals</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>This bundle is open to all and requires no formal prerequisites. Dive into the "Data Science Masterclass" with ease, as it welcomes enthusiasts, beginners, and professionals alike. No prior experience is necessary, ensuring accessibility for anyone eager to embark on a transformative journey through the realms of data science, programming, statistics, and database management. Join without hesitation and elevate your skills in this comprehensive and inclusive learning experience.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Data Analyst: £35,000 - £45,000</li><li>Database Administrator: £40,000 - £50,000</li><li>Machine Learning Engineer: £45,000 - £60,000</li><li>Business Intelligence Analyst: £35,000 - £50,000</li><li>Data Scientist: £40,000 - £55,000</li><li>Analytics Consultant: £45,000 - £60,000</li></ul>
                        </div>

One Education

Data Science Masterclass Course

<strong>This comprehensive training program covers many concepts in Microsoft Power BI. From beginner to advanced levels, learn data visualization, advanced DAX expression, Python integration, custom visuals, data preparation, and collaboration in Power BI service. Develop expertise in Power BI and position yourself for a successful career in data analytics.</strong>
        <p>Microsoft Power BI is a powerful business analytics/data visualization tool that enables users to connect to various data sources, create interactive reports and dashboards, and gain insights from the data. With its intuitive interface and robust features, Power BI empowers users to make data-driven decisions and effectively communicate information with stakeholders.

The course begins with setting up the Python environment for Power BI and then dives into using Python for data visualization in Power BI. It covers advanced DAX expressions and calculations, exploring a business dataset. You will also learn how to leverage Python libraries for data science in Power BI and create a balance sheet structure. The course includes applying custom visuals and culminates in creating a final dashboard. However, the Python concepts covered in this course cannot be considered comprehensive, only content related to Power BI usage requirements.

Upon completing the course, you will gain advanced knowledge and skills in using Power BI for data visualization, analysis, and science. You will be proficient in setting up the Python environment in Power BI, leveraging Python for data visualization, and applying advanced DAX expressions and calculations, enabling you to effectively analyze/present data in various business scenarios.</p>
        <h2>What You Will Learn</h2><p>Learn to integrate Python for data visualization in Power BI<br>Master advanced DAX expressions and calculations<br>Apply custom visuals to enhance your reporting capabilities<br>Create balance sheet structures and evaluate balances using DAX<br>Utilize Python's data science libraries for analysis in Power BI<br>Build a comprehensive dashboard for effective data presentation</p>
        <h2>Audience</h2><p>This course suits those interested in combining Power BI and Python and anyone wanting to explore Microsoft Power BI. If you want to excel in your work, explore new data analytics career opportunities, or lay the foundation for a successful future in the data era, this course equips you with the necessary skills. It also appeals to individuals seeking a better tool than QlikView and IBM Cognos. Prerequisites include Power BI, free to download with no additional costs, and a willingness to learn and explore new opportunities; all necessary files and materials will be provided.</p>
        <h2>Approach</h2><p>The course takes a practical, hands-on approach to learning Power BI. You will actively engage with the software, work with relevant datasets, and apply concepts in real-world scenarios. The content is structured to progressively build your skills from basics to advanced topics to have a solid understanding of Power BI and confidently use it for data visualization and analysis.</p>
        <h2>Key Features</h2><p>Learn data visualization, advanced DAX expression, Python integration, and custom visuals in Power BI * Focus on hands-on learning to apply real-world scenario concepts and work with relevant datasets * Explore stock quotes/balance sheets, providing practical knowledge for finance-related analytics</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Power-BI-Masterclass---Python-Finance-and-Advanced-DAX</p>
        <h2>About the Author</h2><h3>Dan We</h3><p>Daniel Weikert is a 33-year-old entrepreneur, data enthusiast, consultant, and trainer. He is a master's degree holder certified in Power BI, Tableau, Alteryx (Core and Advanced), and KNIME (L1-L3).

He is currently working in the business intelligence field and helps companies and individuals obtain vital insights from their data to deliver long-term strategic growth and outpace their competitors.

He possesses a fervent dedication to both learning and teaching. His unwavering commitment extends to providing educational services and assisting individuals in achieving their objectives, mastering their fields, and embarking on new career journeys.</p>
        <h2>Course Outline</h2><h4>1. Power BI Masterclass Updated Python and DAX in Power BI</h4><p>This section focuses on integrating Python and DAX in Power BI. You will learn to harness the power of Python and DAX in Power BI. We will explore Python for data visualization and transformation and dive deep into advanced DAX data modeling and analysis techniques.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Welcome. Let's Set Up the Data Model</p><p style='margin: 0'>In this introductory video, we will receive a warm welcome and an overview of the course, setting up the data model, which is the foundation for all subsequent data analysis and visualization tasks in Power BI. You will learn the importance of a well-structured data model and gain insights into an effective data model in Power BI.</p></td></tr><tr><td style='padding: 15px;'><p>2. Setting Up Our Python Environment for Power BI</p><p style='margin: 0'>In this video, we will dive into setting up our Python environment tailored explicitly for Power BI. We will explore the necessary steps to seamlessly integrate Python with Power BI, installing Python, configuring the required dependencies, and ensuring that we have a fully functional Python environment ready to be utilized in Power BI.</p></td></tr><tr><td style='padding: 15px;'><p>3. Python for Data Visualization in Power BI Part 1</p><p style='margin: 0'>In this video, we will explore how Python can be used for data visualization within Power BI. You will learn various techniques and strategies to create visually appealing and insightful visualizations using Python libraries such as Matplotlib, Seaborn, and Plotly. We will understand how to apply Python for data visualization in Power BI.</p></td></tr><tr><td style='padding: 15px;'><p>4. Python for Data Visualization in Power BI Part 2</p><p style='margin: 0'>Continuing from the previous video, we will delve deeper into the capabilities of Python for data visualization in Power BI. We will explore advanced techniques and concepts to take visualizations to the next level. From interactive visualizations to advanced chart customization, you will learn to create dynamic and impactful visual representations of data.</p></td></tr><tr><td style='padding: 15px;'><p>5. Python for Data Visualization in Power BI Part 3</p><p style='margin: 0'>In this video, we will enhance our skills in using Python for data visualization in Power BI and focus on creating compelling and visually stunning reports. You will learn to effectively use color schemes, annotations, and visual elements to convey information. We will understand Python's capabilities for data visualization in Power BI.</p></td></tr><tr><td style='padding: 15px;'><p>6. How to Use Python in the Query Editor for Data Transformation in Power BI</p><p style='margin: 0'>In this video, you will learn to utilize the power of Python in the Query Editor of Power BI for data transformation tasks. We will discover how to write Python scripts to manipulate and clean data, perform calculations, and apply custom transformations, combining the capabilities of Python and the Query Editor to gain a deeper understanding of data transformation processes.</p></td></tr><tr><td style='padding: 15px;'><p>7. Import Data Through Python into Power BI</p><p style='margin: 0'>This video explores importing data into Power BI using Python. You will learn to connect to various data sources, retrieve data, and bring it into Power BI for analysis and visualization. You will learn to seamlessly integrate Python with Power BI and harness the power of Python libraries for data importation.</p></td></tr><tr><td style='padding: 15px;'><p>8. Bonus: Let's Do Data Science in Power BI, a Little Case Study</p><p style='margin: 0'>In this video, we will embark on a small-scale case study and apply data science techniques and methodologies to analyze and gain insights from real-world data. You will learn to use Power BI's data science capabilities and Python libraries and create advanced visualizations to present our findings effectively.</p></td></tr><tr><td style='padding: 15px;'><p>9. Learning DAX - Table Functions</p><p style='margin: 0'>This video introduces us to Data Analysis Expressions (DAX) and focuses on table functions. You will learn different table functions in DAX and their syntax and use them to manipulate and summarize data tables in Power BI. You will learn to use table functions to perform calculations and create dynamic tables in Power BI.</p></td></tr><tr><td style='padding: 15px;'><p>10. Learning DAX - Advanced Example for Table Functions in DAX</p><p style='margin: 0'>This video dives deeper into advanced examples of table functions in DAX. We will explore complex scenarios where table functions are required, such as filtering, joining, and calculating with tables. We will understand table functions in DAX and gain valuable insights into their practical applications.</p></td></tr><tr><td style='padding: 15px;'><p>11. Learning DAX - Evaluate Our New Customer Sales</p><p style='margin: 0'>In this video, you will learn to evaluate customer sales using DAX in Power BI. We will explore techniques to calculate and analyze sales performance, identify trends, and gain insights into customer behavior. Using DAX formulas and functions, we will discover how to measure and evaluate customer sales data to make informed business decisions.</p></td></tr><tr><td style='padding: 15px;'><p>12. Learning DAX - How to Evaluate the Lost Customers</p><p style='margin: 0'>In this video, we will discover techniques to evaluate lost customers using DAX. You will learn to identify and analyze customer churn, calculate retention rates, and measure the impact of lost customers on our business. We will delve into evaluating lost customers using DAX formulas and functions.</p></td></tr><tr><td style='padding: 15px;'><p>13. Learning DAX - Dynamic Visualization and Disconnected Tables</p><p style='margin: 0'>This video explores dynamic visualization and disconnected tables in DAX. You will learn to create dynamic visuals that respond to user selections and filters, allowing for interactive data exploration in Power BI. We will also discover how disconnected tables can enhance data modeling and create flexible and customizable reports.</p></td></tr><tr><td style='padding: 15px;'><p>14. Learning DAX - Daily Sales Comparison When Having Gaps in Your Dataset</p><p style='margin: 0'>In this video, you will learn to perform daily sales comparisons in Power BI using DAX, even when there are gaps in the dataset. We will explore techniques to handle missing data and effectively calculate daily sales performance metrics, such as year-over-year comparisons and rolling averages.</p></td></tr><tr><td style='padding: 15px;'><p>15. Learning DAX - Show Top Three Employees and Others</p><p style='margin: 0'>In this video, we will discover how to use DAX to show the top three employees and aggregate the rest into an "Others" category. You will learn to rank and filter data based on specific criteria, such as sales performance or key metrics, and display the top performers in a visually appealing manner and effectively presenting this information in Power BI.</p></td></tr><tr><td style='padding: 15px;'><p>16. Report Best Practices - Cascading Filters Using DAX in Power BI</p><p style='margin: 0'>This video focuses on the best practices for creating cascading filters using DAX in Power BI. You will learn to design interactive reports that allow users to drill down into specific data subsets by applying cascading filters. We will understand how to create a user-friendly and efficient filtering experience in Power BI reports.</p></td></tr><tr><td style='padding: 15px;'><p>17. DAX Motivation - Never Give Up; Keep Going!</p><p style='margin: 0'>In this video, we will receive encouragement and inspiration to continue our DAX learning journey in Power BI. We will indulge in valuable insights and tips to help overcome challenges, stay motivated, and progress in our DAX skills. This video encourages us never to give up and to keep pushing forward on our path to mastering DAX in Power BI.</p></td></tr></tbody></table><br><h4>2. Bonus</h4><p>In this bonus section, we will delve deeper into the new DAX functions in Power BI with in-depth explanations and examples to help fully understand the functionality and usage of these advanced DAX functions. We will explore data modeling/analysis in Power BI, expand our DAX knowledge, and take our Power BI skills to the next level as a bonus.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Deep Dive into the New DAX Functions</p><p style='margin: 0'>In this video, we will dive deep into the new DAX functions introduced in Power BI. We will explore the functionality and applications of these functions, learning to use them effectively in our data modeling/analysis tasks. We will understand the new DAX functions and how they can enhance our Power BI projects.</p></td></tr></tbody></table>

Packt

Data Analysis

This comprehensive training program covers many concepts in Microsoft Power BI. From beginner to advanced levels, learn data visualization, advanced DAX expression, Python integration, custom visuals, data preparation, and collaboration in Power BI service. Develop expertise in Power BI and position yourself for a successful career in data analytics.

Power BI Masterclass 8 -Python, Finance, and Advanced DAX

<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>

                        <div id="cpd">
                            <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

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

<p>Picture a world of endless possibilities; a realm where knowledge is power, and data reigns supreme. In today's digital age, the ability to decipher complex data sets and extract valuable insights has become an invaluable skill. With the Data Analysis with Data Science &amp; Machine Learning bundle, you're one step closer to harnessing the full potential of data and unlocking a brighter future.</p><p>The age of data is upon us, and the UK is no exception. As businesses and organisations increasingly rely on data to inform strategic decisions, professionals skilled in data analysis and machine learning are in high demand. By acquiring expertise in these fields, you'll not only enhance your career prospects but also contribute to the growth and success of the nation.</p><p>Don't miss out on this opportunity to take your career to the next level. Enrol in the Data Analysis with Data Science &amp; Machine Learning bundle today and unlock the power of data for your business.</p><p><strong>This Data Analysis with Data Science &amp; Machine Learning Bundle Consists of the following Premium courses: </strong></p><ul><li> Course 01: Introduction to Data Analysis</li><li> Course 02: Data Analytics with Tableau</li><li> Course 03: Complete Google Analytics Course</li><li> Course 04: Python for Data Analysis</li><li> Course 05: Quick Data Science Approach from Scratch</li><li> Course 06: R Programming for Data Science</li><li> Course 07: Learn MySQL from Scratch for Data Science and Analytics</li><li> Course 08: Master JavaScript with Data Visualization</li><li> Course 09: Excel Data Analysis</li><li> Course 10: Statistics &amp; Probability for Data Science &amp; Machine Learning</li><li> Course 11: Root Cause Analysis</li><li> Course 12: Google Data Studio: Data Analytics</li><li> Course 13: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query</li><li> Course 14: Business Intelligence and Data Mining Masterclass</li></ul><p>Learning Outcomes:</p><ul><li>Develop a solid understanding of data analysis techniques.</li><li>Learn how to collect, manage, and manipulate data effectively.</li><li>Gain knowledge in the programming languages commonly used in data analysis, such as Python and R.</li><li>Become proficient in data visualisation and presentation.</li><li>Develop an understanding of machine learning algorithms and their application in data analysis.</li><li>Learn how to use various data analysis software, including Tableau and Google Analytics.</li></ul><p>The Data Analysis with Data Science &amp; Machine Learning bundle includes a variety of courses aimed at providing theoretical knowledge in the field of data analysis. The bundle covers a wide range of topics, starting with the basics of data analysis such as data cleaning, exploration, and visualisation. With courses such as Introduction to Data Analysis, Data Analytics with Tableau, Complete Google Analytics Course, Python for Data Analysis, Quick Data Science Approach from Scratch, R Programming for Data Science, Learn MySQL from Scratch for Data Science and Analytics, and Master JavaScript with Data Visualization, learners can get a comprehensive understanding of data analysis concepts.</p><p>The course material is presented in a theoretical format to help learners gain a deep understanding of the topics. Learners can engage with the material at their own pace. The course content is presented in a way that is easy to understand, making it ideal for those who are new to the field of data analysis.</p><p><strong>Course Curriculum: Data Analysis with Data Science &amp; Machine Learning</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><h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <ul><li>Professionals seeking to upskill and enhance their data analysis knowledge and abilities.</li><li>Individuals interested in pursuing a career in data analysis, data science or machine learning.</li><li>Business owners or entrepreneurs looking to gain insights into their data and make data-driven decisions.</li><li>Students or recent graduates seeking to gain valuable experience and knowledge in data analysis.</li><li>Anyone looking to expand their knowledge and understanding of data analysis and its useful applications.</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>This Data Analysis with Data Science &amp; Machine Learning course has been designed to be fully compatible with tablets and smartphones.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Data Analyst: £24k-£42k per annum.</li><li>Business Intelligence Analyst: £25k-£60k per annum.</li><li>Data Scientist: £27k-£65k per annum.</li><li>Machine Learning Engineer: £28k-£80k per annum.</li><li>Business Analyst: £24k-£52k per annum.</li></ul>
                        </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 -
            £10
        </p>
            <div> <p>You will get the Hard Copy certificate for the <strong>Data Analysis with Data Science &amp; Machine Learning</strong> course absolutely Free! Other Hard Copy certificates are available for £10 each.</p><p><strong>Please Note:</strong> The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.</p> </div>

                        </div>

Data Analysis with Data Science & Machine Learning

<h3><strong>Overview</strong></h3>
This comprehensive course on <strong>Python for Data Analysis</strong> will deepen your understanding on this topic.

After successful completion of this course you can acquire the required skills in this sector. This <strong>Python for Data Analysis</strong> comes with accredited certification, which will enhance your CV and make you worthy in the job market.

So enrol in this course today to fast track your career ladder.
<h3><strong>How will I get my certificate?</strong></h3>
You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate.
<h3><strong>Who is this course for?</strong></h3>
There is no experience or previous qualifications required for enrolment on this <strong>Python for Data Analysis</strong>. It is available to all students, of all academic backgrounds.
<h3><strong>Requirements</strong></h3>
Our <strong>Python for Data Analysis</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.

There is no time limit for completing this course, it can be studied in your own time at your own pace.
<h3><strong>Career path</strong></h3>
Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business &amp; Management, Admin, Accountancy &amp; Finance, Secretarial &amp; PA, Teaching &amp; Mentoring etc. <h3>Course Curriculum</h3><div><p>19 sections • 99 lectures • 00:08:00 total length</p></div><div><div><div><div><div><div><div><p>•Welcome &amp; Course Overview: 00:07:00</p></div><div><div><p>•Set-up the Environment for the Course (lecture 1): 00:09:00</p></div><div><div><p>•Set-up the Environment for the Course (lecture 2): 00:25:00</p></div><div><div><p>•Two other options to setup environment: 00:04:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Python data types Part 1: 00:21:00</p></div><div><div><p>•Python Data Types Part 2: 00:15:00</p></div><div><div><p>•Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1): 00:16:00</p></div><div><div><p>•Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2): 00:20:00</p></div><div><div><p>•Python Essentials Exercises Overview: 00:02:00</p></div><div><div><p>•Python Essentials Exercises Solutions: 00:22:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•What is Numpy? A brief introduction and installation instructions.: 00:03:00</p></div><div><div><p>•NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes.: 00:28:00</p></div><div><div><p>•NumPy Essentials - Indexing, slicing, broadcasting &amp; boolean masking: 00:26:00</p></div><div><div><p>•NumPy Essentials - Arithmetic Operations &amp; Universal Functions: 00:07:00</p></div><div><div><p>•NumPy Essentials Exercises Overview: 00:02:00</p></div><div><div><p>•NumPy Essentials Exercises Solutions: 00:25:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•What is pandas? A brief introduction and installation instructions.: 00:02:00</p></div><div><div><p>•Pandas Introduction: 00:02:00</p></div><div><div><p>•Pandas Essentials - Pandas Data Structures - Series: 00:20:00</p></div><div><div><p>•Pandas Essentials - Pandas Data Structures - DataFrame: 00:30:00</p></div><div><div><p>•Pandas Essentials - Handling Missing Data: 00:12:00</p></div><div><div><p>•Pandas Essentials - Data Wrangling - Combining, merging, joining: 00:20:00</p></div><div><div><p>•Pandas Essentials - Groupby: 00:10:00</p></div><div><div><p>•Pandas Essentials - Useful Methods and Operations: 00:26:00</p></div><div><div><p>•Pandas Essentials - Project 1 (Overview) Customer Purchases Data: 00:08:00</p></div><div><div><p>•Pandas Essentials - Project 1 (Solutions) Customer Purchases Data: 00:31:00</p></div><div><div><p>•Pandas Essentials - Project 2 (Overview) Chicago Payroll Data: 00:04:00</p></div><div><div><p>•Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data: 00:18:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Matplotlib Essentials (Part 1) - Basic Plotting &amp; Object Oriented Approach: 00:13:00</p></div><div><div><p>•Matplotlib Essentials (Part 2) - Basic Plotting &amp; Object Oriented Approach: 00:22:00</p></div><div><div><p>•Matplotlib Essentials (Part 3) - Basic Plotting &amp; Object Oriented Approach: 00:22:00</p></div><div><div><p>•Matplotlib Essentials - Exercises Overview: 00:06:00</p></div><div><div><p>•Matplotlib Essentials - Exercises Solutions: 00:21:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Seaborn - Introduction &amp; Installation: 00:04:00</p></div><div><div><p>•Seaborn - Distribution Plots: 00:25:00</p></div><div><div><p>•Seaborn - Categorical Plots (Part 1): 00:21:00</p></div><div><div><p>•Seaborn - Categorical Plots (Part 2): 00:16:00</p></div><div><div><p>•Seborn-Axis Grids: 00:25:00</p></div><div><div><p>•Seaborn - Matrix Plots: 00:13:00</p></div><div><div><p>•Seaborn - Regression Plots: 00:11:00</p></div><div><div><p>•Seaborn - Controlling Figure Aesthetics: 00:10:00</p></div><div><div><p>•Seaborn - Exercises Overview: 00:04:00</p></div><div><div><p>•Seaborn - Exercise Solutions: 00:19:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Pandas Built-in Data Visualization: 00:34:00</p></div><div><div><p>•Pandas Data Visualization Exercises Overview: 00:03:00</p></div><div><div><p>•Panda Data Visualization Exercises Solutions: 00:13:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Plotly &amp; Cufflinks - Interactive &amp; Geographical Plotting (Part 1): 00:19:00</p></div><div><div><p>•Plotly &amp; Cufflinks - Interactive &amp; Geographical Plotting (Part 2): 00:14:00</p></div><div><div><p>•Plotly &amp; Cufflinks - Interactive &amp; Geographical Plotting Exercises (Overview): 00:11:00</p></div><div><div><p>•Plotly &amp; Cufflinks - Interactive &amp; Geographical Plotting Exercises (Solutions): 00:37:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Project 1 - Oil vs Banks Stock Price during recession (Overview): 00:15:00</p></div><div><div><p>•Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1): 00:18:00</p></div><div><div><p>•Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2): 00:18:00</p></div><div><div><p>•Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3): 00:17:00</p></div><div><div><p>•Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview): 00:03:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Introduction to ML - What, Why and Types..: 00:15:00</p></div><div><div><p>•Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff: 00:15:00</p></div><div><div><p>•scikit-learn - Linear Regression Model - Hands-on (Part 1): 00:17:00</p></div><div><div><p>•scikit-learn - Linear Regression Model Hands-on (Part 2): 00:19:00</p></div><div><div><p>•Good to know! How to save and load your trained Machine Learning Model!: 00:01:00</p></div><div><div><p>•scikit-learn - Linear Regression Model (Insurance Data Project Overview): 00:08:00</p></div><div><div><p>•scikit-learn - Linear Regression Model (Insurance Data Project Solutions): 00:30:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc.: 00:10:00</p></div><div><div><p>•scikit-learn - Logistic Regression Model - Hands-on (Part 1): 00:17:00</p></div><div><div><p>•scikit-learn - Logistic Regression Model - Hands-on (Part 2): 00:20:00</p></div><div><div><p>•scikit-learn - Logistic Regression Model - Hands-on (Part 3): 00:11:00</p></div><div><div><p>•scikit-learn - Logistic Regression Model - Hands-on (Project Overview): 00:05:00</p></div><div><div><p>•scikit-learn - Logistic Regression Model - Hands-on (Project Solutions): 00:15:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Theory: K Nearest Neighbors, Curse of dimensionality .: 00:08:00</p></div><div><div><p>•scikit-learn - K Nearest Neighbors - Hands-on: 00:25:00</p></div><div><div><p>•scikt-learn - K Nearest Neighbors (Project Overview): 00:04:00</p></div><div><div><p>•scikit-learn - K Nearest Neighbors (Project Solutions): 00:14:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Theory: D-Tree &amp; Random Forests, splitting, Entropy, IG, Bootstrap, Bagging.: 00:18:00</p></div><div><div><p>•scikit-learn - Decision Tree and Random Forests - Hands-on  (Part 1): 00:19:00</p></div><div><div><p>•scikit-learn - Decision Tree and Random Forests (Project Overview): 00:05:00</p></div><div><div><p>•scikit-learn - Decision Tree and Random Forests (Project Solutions): 00:15:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Support Vector Machines (SVMs) - (Theory Lecture): 00:07:00</p></div><div><div><p>•scikit-learn - Support Vector Machines - Hands-on (SVMs): 00:30:00</p></div><div><div><p>•scikit-learn - Support Vector Machines (Project 1 Overview): 00:07:00</p></div><div><div><p>•scikit-learn - Support Vector Machines (Project 1 Solutions): 00:20:00</p></div><div><div><p>•scikit-learn - Support Vector Machines (Optional Project 2 - Overview): 00:02:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Theory: K Means Clustering, Elbow method ..: 00:11:00</p></div><div><div><p>•scikit-learn - K Means Clustering - Hands-on: 00:23:00</p></div><div><div><p>•scikit-learn - K Means Clustering (Project Overview): 00:07:00</p></div><div><div><p>•scikit-learn - K Means Clustering (Project Solutions): 00:22:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Theory: Principal Component Analysis (PCA): 00:09:00</p></div><div><div><p>•scikit-learn - Principal Component Analysis (PCA) - Hands-on: 00:22:00</p></div><div><div><p>•scikit-learn - Principal Component Analysis (PCA) - (Project Overview): 00:02:00</p></div><div><div><p>•scikit-learn - Principal Component Analysis (PCA) - (Project Solutions): 00:17:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Theory: Recommender Systems their Types and Importance: 00:06:00</p></div><div><div><p>•Python for Recommender Systems - Hands-on (Part 1): 00:18:00</p></div><div><div><p>•Python for Recommender Systems - - Hands-on (Part 2): 00:19:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Natural Language Processing (NLP) - (Theory Lecture): 00:13:00</p></div><div><div><p>•NLTK - NLP-Challenges, Data Sources, Data Processing ..: 00:13:00</p></div><div><div><p>•NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing: 00:19:00</p></div><div><div><p>•NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW.: 00:19:00</p></div><div><div><p>•NLTK - BoW, TF-IDF, Machine Learning, Training &amp; Evaluation, Naive Bayes : 00:13:00</p></div><div><div><p>•NLTK - NLP - Pipeline feature to assemble several steps for cross-validation: 00:09:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Resources- Python for Data Analysis: 00:00:00</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>

Online Course Creation

Trainers Course

Data Analyst

Python for Data Analysis

<p>Tired of browsing and searching for a <strong>Big Data </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 Big Data bundle has been designed by industry experts. We prioritised what learners were looking for in a complete package and developed this in-demand Big Data course that will enhance your skills and prepare you for the competitive job market.</p><p>so, ourexperts are available for answering your queries on Big Data and help you along your learning journey. Advanced audio-visual learning modules of these Big Data 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 Big Data, 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 Big Data Bundle Consists of the following Premium courses: </strong></p><ul><li><strong> </strong><strong>Course 01: </strong>SQL NoSQL Big Data and Hadoop</li><li><strong> </strong><strong>Course 02: </strong>Complete Microsoft Power BI 2021</li><li><strong> </strong><strong>Course 03: </strong>Introduction to Data Analysis</li><li><strong> </strong><strong>Course 04: </strong>Python for Data Analysis</li><li><strong> </strong><strong>Course 05: </strong>Statistical Analysis</li><li><strong> </strong><strong>Course 06: </strong>Data Analytics with Tableau</li><li><strong> </strong><strong>Course 07: </strong>Basic Google Data Studio</li><li><strong> </strong><strong>Course 08: </strong>Fundamentals of Business Analysis</li><li><strong> </strong><strong>Course 09: </strong>Complete Introduction to Business Data Analysis Level 3</li><li><strong> </strong><strong>Course 10: </strong>Business Intelligence and Data Mining Masterclass</li><li><strong> </strong><strong>Course 11: </strong>Research Methods in Business</li><li><strong> </strong><strong>Course 12: </strong>Basic Graph Theory Algorithms</li><li><strong> </strong><strong>Course 13: </strong>Data Protection and Data Security Level 2</li><li><strong> </strong><strong>Course 14: </strong>Data Analysis in Excel Level 3 Course</li></ul><p>Enrol now in Big Data to advance your career, and use the premium study materials from Apex Learning.</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 Big Data 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><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        165 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 Big Data bundle.</p>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>Our Big Data 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 Big Data 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>
            <div> <p>You will get the PDF Certificate for the title course <strong>(SQL NoSQL Big Data and Hadoop)</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>(SQL NoSQL Big Data and Hadoop</strong><strong>)</strong> absolutely Free! Other Hard Copy certificates are available for £10 each. </p><p><strong>Please Note:</strong> The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.</p> </div>

                        </div>

Big Data Analysis and Visualization Strategies

<p>Tired of browsing and searching for a <strong>Analytics Training </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 Analytics Training bundle has been designed by industry experts. We prioritised what learners were looking for in a complete package and developed this in-demand Analytics Training 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 Analytics Training and help you along your learning journey. Advanced audio-visual learning modules of these Analytics Training 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 Analytics Training, 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 Analytics Training 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>Google Data Studio: Data Analytics</li><li><strong> </strong><strong>Course 03: </strong>Data Analytics with Tableau</li><li><strong> </strong><strong>Course 04: </strong>Python for Data Analysis</li><li><strong> </strong><strong>Course 05: </strong>Complete Microsoft Power BI 2021</li><li><strong> </strong><strong>Course 06: </strong>Fundamentals of Business Analysis</li><li><strong> </strong><strong>Course 07: </strong>Statistical Analysis</li><li><strong> </strong><strong>Course 08: </strong>Statistics &amp; Probability for Data Science &amp; Machine Learning</li><li><strong> </strong><strong>Course 09: </strong>RCA: Root Cause Analysis</li><li><strong> </strong><strong>Course 10: </strong>Master JavaScript with Data Visualization</li><li><strong> </strong><strong>Course 11: </strong>CompTIA CySA+ Cybersecurity Analyst (CS0-002)</li><li><strong> </strong><strong>Course 12: </strong>Electronic Document Management System Step</li><li><strong> </strong><strong>Course 13: </strong>Quick Data Science Approach from Scratch</li><li><strong> </strong><strong>Course 14: </strong>IT For Recruiters</li></ul><p>Enrol now in Analytics Training to advance your career, and use the premium study materials from Apex Learning.</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 Analytics Training expertise and essential knowledge, which will assist you in reaching your goal.</p><p><strong>Curriculum:</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<strong><br /></strong></li></ul><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        165 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 Analytics Training bundle.</p>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>Our Analytics Training 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 Analytics Training 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>
            <div> <p>You will get the PDF Certificate for the title course <strong>(Introduction to Data Analysis)</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>(Introduction to Data Analysis</strong><strong>)</strong> absolutely Free! Other Hard Copy certificates are available for £10 each. </p><p><strong>Please Note:</strong> The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.</p> </div>

                        </div>

Analytics Training - CPD Certified

PostgreSQL

Pandas

Bootstrap

This beginner's course exclusively delivers Python programming from basic to advanced. You will learn Python concepts in real-life programming examples by building real-world applications. Learn the syntax of Python language and understand the logic behind the programming process to create your Python programs successfully and master Python coding.

Complete Python Course with 10 Real-World Projects

<p dir="ltr" id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Python for Data Science and Machine Learning Bootcamp course is a comprehensive and practical online course designed to teach you how to use Python for data science and machine learning.&nbsp;</span></p><p dir="ltr" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">The course comprises several sections, each covering different topics in data science and machine learning. It includes all the essential concepts and tools required to analyse and manipulate data, build machine learning models, and make predictions or decisions.</span></p><p dir="ltr" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">It also covers dataset summary statistics and visualisation techniques using libraries like matplotlib and seaborn. You&#39;ll learn about model selection, ensemble approaches, and parameter adjustment. Additionally, you will discover how to export and load machine learning models using libraries such as pickle and joblib.</span></p><p dir="ltr" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">This course is suitable for anyone interested in learning Python for data science and machine learning. Whether you are an aspiring data scientist or a professional looking to enhance your data analysis skills, this course will help you achieve your goals.</span></p><p dir="ltr" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Enrol now to gain instant access to the course materials and start your learning journey. Don&#39;t miss out on the opportunity to acquire one of the most in-demand skills in the market today and become a proficient data scientist and machine learning expert.</span></p><h2 dir="ltr" id="isPasted" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Learning Outcome of Python for Data Science and Machine Learning Bootcamp &nbsp; &nbsp;</span></h2><ul fr-original-style="" style="box-sizing: border-box;"><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Master fundamental concepts of machine learning and its applications.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Gain proficiency in Python programming for data analysis and manipulation.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Learn to load, read, and manipulate CSV data files using Python libraries.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Understand dataset summary statistics and visualization techniques.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Acquire skills in data preparation and preprocessing.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Explore feature selection techniques and their importance.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Evaluate machine learning algorithms using various techniques and metrics.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Spot check classification and regression algorithms for model selection.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Improve model performance using ensemble methods and parameter tuning.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Learn to export, save, load, and finalize machine learning models for real-time predictions.</li></ul><h2 dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Key Features of the Course</span></h2><ul fr-original-style="" style="box-sizing: border-box;"><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">A CPD certificate that is recognised worldwide.</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">A great online learning experience.</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Interesting and unique online materials and activities.</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Expert guidance and support from the field leaders.</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Access to the study resources anytime you want.</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Friendly and helpful customer service and admin support by email, phone, and chat from Monday through Friday.</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Get a year-long access to the course.</li></ul><h2 dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Who is this course for</span></h2><p dir="ltr" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); font-size: 16px; box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0); font-size: 16px;">This Python for Data Science and Machine Learning Bootcamp Course is suitable for -</span></p><ul fr-original-style="" style="box-sizing: border-box;"><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Aspiring data scientists and machine learning enthusiasts</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Professionals seeking to enhance their data analysis skills</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Individuals interested in Python programming for data science</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Anyone looking to break into the field of data science and machine learning</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Students pursuing studies in computer science or related fields</li></ul><h2 dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Requirements</span></h2><ul fr-original-style="" style="box-sizing: border-box;"><li id="isPasted" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Basic understanding of programming concepts</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Familiarity with Python programming language is beneficial but not mandatory</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">No prerequisites; suitable for individuals from any academic background.</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Accessible course materials from any internet-enabled device.</li></ul><h2 dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">CPD Certificate from Course Gate</span></h2><p dir="ltr" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for &pound;9 and the hard copy for &pound;15. Also, you can order both PDF and hardcopy certificates for &pound;22.</span></p><h2 dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Career path</span><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><br fr-original-style="" style="box-sizing: border-box;"></span></h2><div style="color: rgb(68, 68, 68); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(68, 68, 68);"><div style="color: rgb(68, 68, 68); box-sizing: border-box;" fr-original-style=" color: rgb(68, 68, 68);"><div data-elementor-type="wp-post" data-elementor-id="357815" data-elementor-post-type="course" fr-original-style="" style="box-sizing: border-box;"><section data-id="5767f71a" data-element_type="section" fr-original-style="" style="box-sizing: border-box;"><div data-id="58784751" data-element_type="column" fr-original-style="" style="box-sizing: border-box;"><div data-id="ce105db" data-element_type="widget" data-widget_type="text-editor.default" style="color: var( --e-global-color-text ); box-sizing: border-box;" fr-original-style=" color: var( --e-global-color-text );"><ul fr-original-style="" style="box-sizing: border-box;"><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Data Scientist</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Data Analyst</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Machine Learning Engineer</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Business Intelligence Analyst</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Data Engineer</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Research Scientist</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Quantitative Analyst</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Artificial Intelligence Specialist</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Data Consultant</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Statistician</li></ul></div></div></section></div></div></div>

Course Gate

Python for Data Science and Machine Learning Bootcamp online course is suitable for anyone interested in learning Python for data science and machine learning. It is especially ideal for aspiring data scientists and professionals seeking to enhance their data analysis skills. 

Python for Data Science and Machine Learning Bootcamp

<p>Feeling Stuck in Your Career? The Python for Data Science and Machine Learning-(30 in 1) CPD Accredited Courses! Bundle is Your Skill-Building Solution. This exceptional collection of <strong>30 premium courses</strong> is designed to encourage growth and improve your career opportunities. Suited to meet different interests and goals, the  Python for Data Science and Machine Learning bundle provides an engaging learning experience, helping you learn skills across various disciplines.</p><p>With Python for Data Science and Machine Learning-(30 in 1) CPD Accredited Courses! Bundle, you'll have a personalised journey that aligns with your career goals and interests. This comprehensive package helps you confidently tackle new challenges, whether entering a new field or enhancing your existing knowledge. The  Python for Data Science and Machine Learning bundle is your gateway to expanding your career options, increasing job demand, and enhancing your skill set.</p><p>By enrolling in this bundle, you'll receive complimentary PDF certificates for all courses, adding value to your resume at no extra cost. Develop key skills and achieve important progress in your career and personal development. Start your journey today and experience the transformative impact of the Python for Data Science and Machine Learning-(30 in 1) CPD Accredited Courses! bundle on your job life and career growth!</p><p><strong>This Python for Data Science and Machine Learning-(30 in 1) CPD Accredited Courses! Bundle Comprises the Following CPD Accredited Courses:</strong></p><ul><li><strong>Course 01</strong>: Machine Learning Basics</li><li><strong>Course 02</strong>: Azure Machine Learning</li><li><strong>Course 03</strong>: Python Intermediate Training</li><li><strong>Course 04</strong>: Python Data Science</li><li><strong>Course 05</strong>: 2021 Data Science &amp; Machine Learning with R from A-Z</li><li><strong>Course 06</strong>: Complete Python Machine Learning &amp; Data Science Fundamentals</li><li><strong>Course 07</strong>: Learn Python, JavaScript, and Microsoft SQL for Data science</li><li><strong>Course 08</strong>: Spatial Data Visualisation and Machine Learning in Python</li><li><strong>Course 09</strong>: Complete Python Machine Learning &amp; Data Science Fundamentals</li><li><strong>Course 10</strong>: Python Programming Bible | Networking, GUI, Email, XML, CGI</li><li><strong>Course 11</strong>: Deep Learning &amp; Neural Networks Python - Keras</li><li><strong>Course 12</strong>: The Complete Python 3 Course: Beginner to Advanced!</li><li><strong>Course 13</strong>: Building Big Data Pipelines with PySpark MongoDB and Bokeh</li><li><strong>Course 14</strong>: Clinical Data Management with SAS Programming</li><li><strong>Course 15</strong>: Certificate in Data Entry and Management</li><li><strong>Course 16</strong>: Quick Data Science Approach from Scratch</li><li><strong>Course 17</strong>: SQL for Data Science, Data Analytics and Data Visualization</li><li><strong>Course 18</strong>: Programming AutoCAD with SQL Server Database Using C#</li><li><strong>Course 19</strong>: Big Data Analytics with PySpark Power BI and MongoDB</li><li><strong>Course 20</strong>: Develop Big Data Pipelines with R &amp; Sparklyr &amp; Tableau</li><li><strong>Course 21</strong>: Develop Big Data Pipelines with R, Sparklyr &amp; Power BI</li><li><strong>Course 22</strong>: Data Center Training Essentials: Power &amp; Electrical</li><li><strong>Course 23</strong>: Business Intelligence and Data Mining</li><li><strong>Course 24</strong>: Data Analysis In Excel</li><li><strong>Course 25</strong>: CV Writing and Job Searching</li><li><strong>Course 26</strong>: Learn to Level Up Your Leadership</li><li><strong>Course 27</strong>: Networking Skills for Personal Success</li><li><strong>Course 28</strong>: Ace Your Presentations: Public Speaking Masterclass</li><li><strong>Course 29</strong>: Learn to Make a Fresh Start in Your Life</li><li><strong>Course 30</strong>: Motivation - Motivating Yourself &amp; Others</li></ul><p><strong>What will make you stand out?</strong></p><p>Upon completion of this online Python for Data Science and Machine Learning-(30 in 1) CPD Accredited Courses! Bundle, you will gain the following:</p><ul><li>CPD QS Accredited Proficiency with this  Python for Data Science and Machine Learning  Bundle </li><li>After successfully completing the  Python for Data Science and Machine Learning bundle, you will receive a FREE PDF Certificate from REED as evidence of your newly acquired abilities.</li><li>Lifetime access to the whole collection of learning materials of this  Python for Data Science and Machine Learning       Bundle</li><li>The online test with immediate results </li><li>You can study and complete the  Python for Data Science and Machine Learning bundle at your own pace.</li><li>Study for the  Python for Data Science and Machine Learning bundle using any internet-connected device, such as a computer, tablet, or mobile device.</li></ul><p>The  Python for Data Science and Machine Learning-(30 in 1) CPD Accredited Courses! bundle is a premier learning resource, with each course module holding respected CPD accreditation, symbolising exceptional quality. The content is packed with knowledge and is regularly updated to ensure it remains relevant. This bundle offers not just education but a constantly improving learning experience designed to enrich both your personal and professional development.</p><p>Advance the future of learning with the   Python for Data Science and Machine Learning bundle, a comprehensive, complete collection of 30 courses. Each course in the  Python for Data Science and Machine Learning bundle has been handpicked by our experts to provide a broad range of learning opportunities. Together, these modules form an important and well-rounded learning experience.</p><p>Our mission is to deliver high-quality, accessible education for everyone. Whether you are starting your career, switching industries, or enhancing your professional skills, the   Python for Data Science and Machine Learning bundle offers the flexibility and convenience to learn at your own pace. Make the   Python for Data Science and Machine Learning package your trusted partner in your lifelong learning journey.</p><h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <p>The Python for Data Science and Machine Learning-(30 in 1) CPD Accredited Courses! is perfect for:</p><ul><li>Expand your knowledge and skillset for a fulfilling career with the  Python for Data Science and Machine Learning bundle.</li><li>Become a more valuable professional by earning CPD certification and mastering in-demand skills with the  Python for Data Science and Machine Learning bundle.</li><li>Discover your passion or explore new career options with the diverse learning opportunities in the  Python for Data Science and Machine Learning bundle.</li><li>Learn on your schedule, in the comfort of your home - the  Python for Data Science and Machine Learning bundle offers ultimate flexibility for busy individuals.</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>You are warmly invited to register for this bundle. Please be aware that no formal entry requirements or qualifications are necessary. This curriculum has been crafted to be open to everyone, regardless of previous experience or educational attainment.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Gain a wide range of skills across various fields, improve your problem-solving capabilities, and keep current with industry trends. Perfect for those aiming for career advancement, exploring a new professional direction, or pursuing personal growth. Begin your journey with the  Python for Data Science and Machine Learning bundle.</p>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Certificates</h4>
        <p>
            Digital certificate -
            Included
        </p>

                        </div>

Compliance Central

Python for Data Science and Machine Learning-(30 in 1) CPD Accredited Courses!

<h2 style="color: var(--text-heading); box-sizing: border-box;" id="isPasted" fr-original-style="color: var(--text-heading);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><span style="font-size: 24px; box-sizing: border-box;" fr-original-style="font-size: 24px;">This course at a glance</span></strong></h2><ul style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Accredited by CPDQE</li><li id="isPasted" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Learn how to clean, process, wrangle, and manipulate data</span></li><li fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Know how to create a resume for a data science job</span></li><li fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Get a grasp of NumPy by learning how to use it for numerical data</span></li><li fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Uncover the secret of different Python libraries, such as Pandas, Matplotlib, SciPy and many more</span></li><li fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Explore machine learning concepts and algorithms</span></li><li fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Discover developing custom data solutions</span></li></ul><p style="color: rgb(38, 99, 82) !important; font-size: var(--font-size); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(38, 99, 82) !important;">You can create various applications for science, math, machine learning, and data science with Python. As a high-level, general-purpose programming language, Python is quite English-like and easy to learn. This&nbsp;<b fr-original-style="" style="box-sizing: border-box;">Python for Data Science and Machine Learning</b>&nbsp;course will show you how to use Python for machine learning and data science.</p><p style="color: rgb(38, 99, 82) !important; font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">During the course, you will master every useful Python skill you need for data science and machine learning. If you find it challenging to write complex Python programs, we&rsquo;ll show you how to do so with our step-by-step instructions based on actual work contexts. You&rsquo;ll also learn how to run the regression, classification, and clustering and the specifics of supervised and unsupervised machine learning. Moreover, this course covers how statistics work for data science, hypothesis testing, and much more.</p><p style="color: rgb(38, 99, 82) !important; font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">An expert instructor designed this&nbsp;<b fr-original-style="" style="box-sizing: border-box;">&ldquo;Python for Data Science and Machine Learning&rdquo;</b>&nbsp;course to provide you with the best learning experience possible. Our goal is for you to learn and apply the lessons from this course to improve your skills.&nbsp;</p><p style="color: rgb(38, 99, 82) !important; font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">To become a master of Python, Enrol Now!</p><h3 style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><span style="font-size: 24px; box-sizing: border-box;" fr-original-style="font-size: 24px;">Accredited by</span></h3><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">This course is <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">CPDQE&nbsp;</strong>accredited, which serves as an impactful mechanism for skill enhancement.&nbsp;</p><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">Continuing Professional Development (CPD) stands as a crucial, widely acknowledged method that aids individuals, organisations, and entire industries in staying current with their skills and knowledge.</p><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">CPD not only facilitates the elevation of global standards and benchmarks, aligning with the growing forces of globalisation and consumer expectations but also transforms learning into a deliberate and proactive process. It motivates professionals to uphold a consistently high level of performance and demonstrates their unwavering commitment to a specific job role or profession.</p><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><br fr-original-style="" style="box-sizing: border-box;"></p><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><span style="font-size: 24px; box-sizing: border-box;" fr-original-style="font-size: 24px;">Course Curriculum</span></strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li id="isPasted" fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Introduction to Python for Data Science &amp; Machine Learning from A-Z</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science &amp; Machine Learning Concepts</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python For Data Science</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Statistics for Data Science</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Probability and Hypothesis Testing</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">NumPy Data Analysis</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Pandas Data Analysis</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Data Visualization</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Introduction to Machine Learning</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Loading &amp; Exploration</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Cleaning</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Feature Selecting and Engineering</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Linear and Logistic Regression</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">K Nearest Neighbours</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Decision Trees</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Ensemble Learning and Random Forests</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Support Vector Machines</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">K-Means</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">PCA</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science Career</strong></li></ul>

LearnDrive UK

This course aims to teach you how to use Python for machine learning and data science.



Python for Data Science and Machine Learning

<div id="course-pills-1">Duration<p>2 Days</p><p>12 CPD hours</p>This course is intended for<p>This introductory-level course is intended for Business Analysts and Data Analysts (or anyone else in the data science realm) who are already comfortable working with numerical data in Excel or other spreadsheet environments. No prior programming experience is required, and a browser is the only tool necessary for the course.</p>Overview<p>This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises.  Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom.  Throughout the hands-on course students, will learn to leverage Python scripting for data science (to a basic level) using the most current and efficient skills and techniques.<br />Working in a hands-on learning environment, guided by our expert team, attendees will learn about and explore (to a basic level):<br />How to work with Python interactively in web notebooks<br />The essentials of Python scripting<br />Key concepts necessary to enter the world of Data Science via Python</p><p>This course introduces data analysts and business analysts (as well as anyone interested in Data Science) to the Python programming language, as it?s often used in Data Science in web notebooks.  This goal of this course is to provide students with a baseline understanding of core concepts that can serve as a platform of knowledge to follow up with more in-depth training and real-world practice.</p></div><div id="course-pills-2">This course introduces data analysts and business analysts (as well as anyone interested in Data Science) to the Python programming language, as it's often used in Data Science in web notebooks.  This goal of this course is to provide students with a baseline understanding of core concepts that can serve as a platform of knowledge to follow up with more in-depth training and real-world practice.</div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Python for Data Science Primer: Hands-on Technical Overview (TTPS4872) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the Python for Data Science Primer: Hands-on Technical Overview (TTPS4872) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Nexus Human

NLP Practitioner

Teacher Training

Professional Skills Course (PSC)

Data Skills

Python for Data Science Primer: Hands-on Technical Overview (TTPS4872)

<div id="course-pills-1">Duration<p>2 Days</p><p>12 CPD hours</p>This course is intended for<p>This introductory-level course is intended for Business Analysts and Data Analysts (or anyone else in the data science realm) who are already comfortable working with numerical data in Excel or other spreadsheet environments. No prior programming experience is required, and a browser is the only tool necessary for the course.</p>Overview<p>This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises.  Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom.  Throughout the hands-on course students, will learn to leverage Python scripting for data science (to a basic level) using the most current and efficient skills and techniques.<br />Working in a hands-on learning environment, guided by our expert team, attendees will learn about and explore (to a basic level):<br />How to work with Python interactively in web notebooks<br />The essentials of Python scripting<br />Key concepts necessary to enter the world of Data Science via Python</p><p>This course introduces data analysts and business analysts (as well as anyone interested in Data Science) to the Python programming language, as it?s often used in Data Science in web notebooks.  This goal of this course is to provide students with a baseline understanding of core concepts that can serve as a platform of knowledge to follow up with more in-depth training and real-world practice.</p></div><div id="course-pills-2"><h4>An Overview of Python</h4><ul><li>Why Python?</li><li>Python in the Shell</li><li>Python in Web Notebooks (iPython, Jupyter, Zeppelin)</li><li>Demo: Python, Notebooks, and Data Science</li></ul><h4>Getting Started</h4><ul><li>Using variables </li><li>Builtin functions </li><li>Strings </li><li>Numbers</li><li>Converting among types </li><li>Writing to the screen </li><li>Command line parameters </li></ul><h4>Flow Control</h4><ul><li>About flow control </li><li>White space </li><li>Conditional expressions </li><li>Relational and Boolean operators </li><li>While loops </li><li>Alternate loop exits</li></ul><h4>Sequences, Arrays, Dictionaries and Sets</h4><ul><li>About sequences </li><li>Lists and list methods </li><li>Tuples </li><li>Indexing and slicing </li><li>Iterating through a sequence </li><li>Sequence functions, keywords, and operators </li><li>List comprehensions </li><li>Generator Expressions</li><li>Nested sequences </li><li>Working with Dictionaries</li><li>Working with Sets</li></ul><h4>Working with files</h4><ul><li>File overview</li><li>Opening a text file </li><li>Reading a text file </li><li>Writing to a text file</li><li>Reading and writing raw (binary) data</li></ul><h4>Functions</h4><ul><li>Defining functions </li><li>Parameters  </li><li>Global and local scope</li><li>Nested functions </li><li>Returning values </li></ul><h4>Essential Demos</h4><ul><li>Sorting</li><li>Exceptions</li><li>Importing Modules</li><li>Classes</li><li>Regular Expressions</li></ul><h4>The standard library</h4><ul><li>Math functions </li><li>The string module</li></ul><h4>Dates and times</h4><ul><li>Working with dates and times</li><li>Translating timestamps</li><li>Parsing dates from text</li><li>Formatting dates</li><li>Calendar data</li></ul><h4>Python and Data Science</h4><ul><li>Data Science Essentials</li><li>Pandas Overview</li><li>NumPy Overview</li><li>SciKit Overview</li><li>MatPlotLib Overview</li><li>Working with Python in Data Science</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Python for Data Science: Hands-on Technical Overview (TTPS4873) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the Python for Data Science: Hands-on Technical Overview (TTPS4873) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Python for Data Science: Hands-on Technical Overview (TTPS4873)

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					<div><p>Python is a general-purpose programming language that is widely used in data science. It is known for its simplicity, readability, and versatility. In this Python, JavaScript, and Microsoft SQL for Data science course, you will learn the basics of Python, including variables, data types, operators, conditional statements, control flow statements, functions and error handling. You will also learn how to use Python for data science tasks such as cleaning, analysis and visualization.</p><p>JavaScript is a scripting language. It is primarily used for front-end web development. However, it also can be used for data science tasks such as data visualization and data analysis.</p><p>In this course, you will learn the basics of JavaScript, including variables, data types, operators, conditional statements, control flow statements, functions, and error handling. You will also learn how to use JavaScript for data science tasks such as data cleaning and data visualization.</p><p>Microsoft SQL is a relational database management system (RDBMS) that stores, manages, and retrieves data. It is one of the most popular RDBMSs in the world.</p><p>In this course, you will learn the basics of Microsoft SQL, including SQL statements, data manipulation statements, data query statements, and data definition statements. You will also learn to use Microsoft SQL to create, read, update, and delete data from a database.</p></div>
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			<h2><b> Learning outcome</b></h2>		</div>
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										<span>Write JavaScript code to create and manipulate web pages</span>
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										<span>Use Python for data science tasks such as data cleaning, analysis, and visualization</span>
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										<span>Query and manage data using Microsoft SQL</span>
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			<h2> <b>Why should I take this course?</b></h2>		</div>
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										<span>Future-proof your skills in an ever-evolving tech landscape.</span>
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										<span>Position yourself as a versatile coder in the job market.</span>
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										<span>Transform raw data into insightful conclusions effectively.</span>
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			<h2> <b>Requirements</b></h2>		</div>
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Skill Up

Computing Skills

Data Engineering

Microsoft SQL

Microsoft AZ-303

Become a data scientist with the in-demand skills of Python, JavaScript, and Microsoft SQL. This comprehensive course will teach you the essential skills you need to succeed.

Learn Python, JavaScript, and Microsoft SQL for Data science

<p>Progression in today's data-driven world requires proficiency in Python data science. Proficiency in Python for data science can revolutionise one's career by enabling professionals to build models, extract insights, and make well-informed decisions from large datasets. This can lead to a variety of opportunities across industries. Because of its simplicity of use, data scientists prefer it over other languages for efficiently handling data. Robust data manipulation, analysis, visualisation, and machine learning tools are available with Python's vast libraries, including NumPy, Pandas, Matplotlib, and Scikit-learn. These tools enable experts to use Python to efficiently extract insights, build predictive models, and make data-driven decisions. To get everything you need in one place, sign up for our QLS-approved <strong>"Python Data Science: QLS Machine Learning"</strong> course!</p><p>The fundamentals of Python for data science are the main focus of the course <strong>"Python Data Science: QLS Machine Learning."</strong> It begins with an introductory unit that familiarises students with the syntax of Python and critical ideas in data science. The upcoming units focus on specialised software for data cleaning and visualisation, two essential skills for any data scientist. A range of Python techniques and tools that facilitate the cleanup of jumbled datasets and the creation of visually appealing data visualisations are covered in the course.</p><p>Missing out on this perfect pack will be a significant loss for IT enthusiasts. Take the "<strong>Python Data Science-QLS Machine Learning</strong>" course to discover the full potential of Python in data science. Explore the possibilities of Python for more than just data manipulation and cleaning. Get practical experience with the state-of-the-art instruments and methods necessary for a prosperous data science career.</p><p><strong>Learning outcomes</strong> at a glance:</p><p>Completing the study of this <strong>Python Data Science-QLS Machine Learning </strong>makes learners able to:</p><ul><li>Learn the syntax of Python to manipulate and analyse data</li><li>Use data cleaning software to prepare datasets effectively</li><li>Make effective use of data visualisation tools when presenting insights</li><li>Apply predictive analysis and machine learning methods</li><li>Analyse and effectively convey conclusions drawn from data visualisations</li><li>Gain knowledge of Python for practical data science applications</li></ul><p><strong>Kinstone Open College </strong>offers the following services for the<strong> "Python Data Science-QLS Machine Learning" course</strong><strong>:</strong></p><ul><li>Intensive Study Notes</li><li>Tutor Support</li><li>Customer Support</li><li>Assignment Help</li><li>QLS-endorsed certificate</li><li>24/7 Learning Portal Access</li><li>Widely Compatible Study Materials</li></ul><p><strong>"QLS approved this accredited course as a highly qualified, unregulated training programme and supply. A trainer will be available to address your inquiries, including how to advance into additional higher education."</strong></p><p><strong>Course Curriculum of </strong><strong>Python Data Science</strong></p><ul><li><strong>Unit 01:</strong> Introduction to Python Data Science</li><li><strong>Unit 02:</strong> Data Cleaning Packages</li><li><strong>Unit 03:</strong> Data Visualisation packages</li></ul><p><strong>Assessment and Certification</strong></p><p>To receive a Python Data Science certificate, learners must submit a comprehensive assignment summarising all the units our expert tutor will assess. The assignment must meet the learning outcomes according to the standard set by QLS. The learner will be awarded the certificate once the assignment passes the quality check.</p><p><strong>Endorsed Certificate of Achievement from the Quality Licence Scheme</strong></p><p>When the course is over, students will receive an endorsed certificate to prove they completed it. A certificate can be obtained if the student completes all class assessments.</p><h2>
        
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                                        10 CPD hours / points
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                                            Accredited by CPD Quality Standards
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        <div>Who is this course for?</div>
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                            <p>Regardless of experience and educational background, anyone can study and benefit from this <strong>Python Data Science-QLS Machine Learning</strong> course. However, the following categories of learners are the best for this course:</p><ul><li><strong>Data Enthusiasts:</strong> People who have a strong interest in working with data and are keen to see how Python may help with data cleaning, analysis, and visualisation</li><li><strong>Aspiring Data Scientists: </strong>People who want to work in data science and are looking for a core understanding of Python for machine learning and data manipulation.</li><li><strong>Analytics Professionals</strong>: Analytics experts are eager to broaden their expertise by becoming proficient in Python's data handling packages to enable more effective analysis.</li><li><strong>Business Analysts:</strong> professionals who want to sharpen their abilities in interpreting data so they can use visualisation to communicate their ideas successfully.</li><li><strong>Computer Science Students:</strong> Computer science students who want hands-on experience with Python-based data analysis and manipulation</li><li><strong>Career Switchers:</strong> People making the move into the data science field who need to have a basic understanding of the use of Python in data analysis.</li><li><strong>Researchers and Academics:</strong> Academic professionals who want to use Python for data-related research and disseminate their findings with clear and concise visual aids.</li></ul>
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        <div>Requirements</div>
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                            <p>There are no formal requirements needed for this Python Data Science course. So, learners are not required to have prior qualifications to enrol in this course.</p>
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        <div>Career path</div>
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                            <p><strong>Python Data Science-QLS Machine Learning </strong>course is relevant and demanded in many job roles, including:</p><ul><li>Data Analyst: £25,000 to £50,000</li><li>Data Scientist: £35,000 to £80,000</li><li>Machine Learning Engineer: £40,000 to £90,000</li><li>Business Intelligence Analyst: £30,000 to £60,000</li><li>Quantitative Analyst: £40,000 to £100,000+</li><li>Data Engineer: £40,000 to £80,000</li><li>Research Scientist (in AI/ML): £40,000 to £90,000+</li></ul>
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Kingston Open College

Managed Learning Programme (MLP)

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support | All-Inclusive Cost

Python Data Science - QLS Machine Learning

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					<div><p>Python Programming from Scratch with MySQL Database is a comprehensive course that will teach you the fundamentals of Python programming and MySQL databases. You will learn to create and manipulate data, write functions and classes, and build web applications. By the end of the course, you will have the skills to develop your own database-driven applications using Python and MySQL.</p><p>Unlock the full potential of web development by joining our 'Python Programming from Scratch with MySQL Database' course. This well-structured program will guide you through the realms of HTML, Python, and MySQL, equipping you with the essential tools and knowledge to conquer the digital world. From the roots of HTML to Python's complexities and MySQL's intricacies, we cover it all.</p><p>But that's not all! We've intricately woven lessons on using Python for data science, giving you a competitive edge in today's data-driven environment. And when it comes to database management, our MySQL sections will turn you into a pro, teaching you everything from creating structures and filtering data to utilizing functions and managing databases with precision.</p><p>So, whether you're a beginner eager to step into the world of programming or an experienced coder looking to enhance your skillset, our course has something for everyone. With our expertly crafted modules, practical insights, and a project-based approach, you'll gain knowledge and apply what you've learned in real-world scenarios. Enroll now and embark on a journey that promises to be not just educational, but transformative, equipping you with the skills and confidence to make your mark in the digital universe.</p></div>
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										<span>Gain proficiency in MySQL database management and queries.</span>
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										<span>Learn to create and manage database structures effectively.</span>
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										<span>Acquire the skills to backup and restore MySQL databases.</span>
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			<h2> <b>Why should I take this course?</b></h2>		</div>
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										<span>Master essential skills for web development and database management.</span>
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										<span>You will learn from an experienced instructor who is passionate about teaching.</span>
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										<span>You will join a community of students who are also learning Python and MySQL.</span>
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										<span>Eagerness to learn and apply new skills.</span>
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Python Programming from Scratch with MySQL Database is a beginner-friendly course designed to teach you everything you need to know to start with Python programming and MySQL databases. Using these powerful tools, you'll learn how to build dynamic web applications and websites.

Python Programming from Scratch with My SQL Database

Analytics

This course covers Python for data science and machine learning in detail and is for a beginner in Python. You will also learn about core concepts of data science, exploratory data analysis, statistical methods, role of data, challenges of bias, variance and overfitting, model evaluation techniques, model optimization using hyperparameter tuning, grid search cross-validation techniques, and more.

Practical Data Science Using Python.

<div id="course-pills-1">Duration<p>3 Days</p><p>18 CPD hours</p>This course is intended for<p>This course is designed for existing Python programmers who have at least one year of Python experience and who want to expand their programming proficiency in Python 3.</p>Overview<p>In this course, you will expand your Python proficiencies. You will:<br />Select an object-oriented programming approach for Python applications.<br />Create object-oriented Python applications.<br />Create a desktop application.<br />Create data-driven applications.<br />Create and secure web service-connected applications.<br />Program Python for data science.<br />Implement unit testing and exception handling.<br />Package an application for distribution.</p><p>PythonÂ© continues to be a popular programming language, perhaps owing to its easy learning curve, small code footprint, and versatility for business, web, and scientific uses. Python is useful for developing custom software tools, applications, web services, and cloud applications. In this course, you'll build upon your basic Python skills, learning more advanced topics such as object-oriented programming patterns, development of graphical user interfaces, data management, creating web service-connected apps, performing data science tasks, unit testing, and creating and installing packages and executable applications.</p></div><div id="course-pills-2"><h4>Lesson 1: Selecting an Object-Oriented Programming Approach for Python Applications</h4><ul><li>Topic A: Implement Object-Oriented Design</li><li>Topic B: Leverage the Benefits of Object-Oriented Programming</li></ul><h4>Lesson 2: Creating Object-Oriented Python Applications</h4><ul><li>Topic A: Create a Class</li><li>Topic B: Use Built-in Methods</li><li>Topic C: Implement the Factory Design Pattern</li></ul><h4>Lesson 3: Creating a Desktop Application</h4><ul><li>Topic A: Design a Graphical User Interface (GUI)</li><li>Topic B: Create Interactive Applications</li></ul><h4>Lesson 4: Creating Data-Driven Applications</h4><ul><li>Topic A: Connect to Data</li><li>Topic B: Store, Update, and Delete Data in a Database</li></ul><h4>Lesson 5: Creating and Securing a Web Service-Connected App</h4><ul><li>Topic A: Select a Network Application Protocol</li><li>Topic B: Create a RESTful Web Service</li><li>Topic C: Create a Web Service Client</li><li>Topic D: Secure Connected Applications</li></ul><h4>Lesson 6: Programming Python for Data Science</h4><ul><li>Topic A: Clean Data with Python</li><li>Topic B: Visualize Data with Python</li><li>Topic C: Perform Linear Regression with Machine Learning</li></ul><h4>Lesson 7: Implementing Unit Testing and Exception Handling</h4><ul><li>Topic A: Handle Exceptions</li><li>Topic B: Write a Unit Test</li><li>Topic C: Execute a Unit Test</li></ul><h4>Lesson 8: Packaging an Application for Distribution</h4><ul><li>Topic A: Create and Install a Package</li><li>Topic B: Generate Alternative Distribution Files</li></ul></div>

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