Data Analysis, Python, SQL, Tableau, Machine Learning & R Programming

Gain job-ready data analysis and data science capabilities by learning how to collect, process, examine, and visualise data using widely adopted industry tools and programming languages. This programme concentrates on turning raw information into actionable insights that support confident decision-making across business, technology, and research-driven environments.

Hands-on experience is provided in Python, SQL, R, and Excel, alongside data visualisation platforms such as Tableau, Power BI, and Google Data Studio. Learners are introduced to statistics, probability, and machine learning concepts, enabling them to recognise patterns, forecast trends, and address real-world analytical challenges using structured and unstructured datasets.

Enrol now to develop in-demand data analysis and programming skills. Graduates will be able to process and analyse datasets, create visual dashboards, implement predictive models, and generate insights that drive informed decision-making in professional and organisational settings.

Courses Included in Data Analysis & Machine Learning Bundle

• Course 01: Python Programming
• Course 02: Python Data Science
• Course 03: SQL Programming
• Course 04: MySQL Development
• Course 05: Tableau Analytics
• Course 06: R Programming
• Course 07: Statistics & Probability
• Course 08: Machine Learning with Python
• Course 09: Power BI
• Course 10: Excel Pivot Tables
• Course 11: Excel VLOOKUP & INDEX
• Course 12: Excel Automated Dashboard
• Course 13: Data Analytics Fundamentals
• Course 14: Google Data Studio
• Course 15: Reporting and Data Analysis

What You Will Learn

• Analyse structured and unstructured datasets using Python, SQL, and R
• Apply statistical methods to interpret data patterns and trends accurately
• Build interactive dashboards using Tableau, Power BI, and Google Data Studio
• Use Excel tools for data modelling, automation, and advanced reporting
• Create machine learning models for prediction, classification, and insight generation
• Query, manage, and optimise databases using SQL and MySQL effectively
• Convert raw data into clear visual stories for stakeholders
• Present analytical findings to support strategic and business decisions

Who Should Take This Course

• Beginners seeking a solid foundation in data analysis and analytics tools
• Professionals transitioning into data analyst or data science career paths
• Business analysts improving data-driven reporting and decision-making capabilities
• IT professionals expanding analytical, database, and machine learning knowledge
• Graduates building practical skills for data-focused professional opportunities
• Managers interpreting performance metrics and organisational data trends
• Researchers analysing datasets for academic or industry-based projects
• Entrepreneurs using data insights to guide operational and growth strategies

Career Path

• Data Analyst (£25,000 – £45,000)
• Business Intelligence Analyst (£30,000 – £55,000)
• Junior Data Scientist (£35,000 – £60,000)
• Reporting Analyst (£28,000 – £48,000)
• Machine Learning Analyst (£40,000 – £70,000)
• Analytics Consultant (£45,000 – £80,000)

Course Format

• Short, easy-to-follow video lessons
• Step-by-step tutorials
• Quizzes and practical exercises
• Downloadable resources: templates, worksheets, and cheat sheets
• Project-based learning for hands-on experience

Certificate

After successfully completing the final assessment, you will receive a CPD-accredited Certificate of Achievement.The PDF certificate is completely FREE and will be sent to you immediately via email.If you prefer a printed hard copy, you can order one for £15.99, which will be delivered to your doorstep by post.