Scholarship learning
Self-paced, pre-recorded lessons. Scholarship places cover this format.
Turn raw data into useful answers. Build confidence with Excel, Power Query, Power BI, SQL, and Python through practical business projects.
Classes start October 5, 2026

For beginners who want to understand business data, build reports, and explain findings clearly. The course starts with data fundamentals and spreadsheets before moving to SQL and Python.
Practise organising files, entering spreadsheet data, and explaining a simple chart. A laptop or desktop will help you complete the spreadsheet, dashboard, and coding projects.
Learn through structured lessons and practical projects, then bring your work together in a portfolio you can share.
Self-paced, pre-recorded lessons. Scholarship places cover this format.
Choose self-paced, pre-recorded lessons or one-on-one live classes.
Data fundamentals and asking useful business questions
Excel formulas, tables, PivotTables, and data cleaning
Power Query: combine, transform, and prepare data
Power BI: data models, DAX, and interactive dashboards
SQL: filtering, joins, aggregations, and business queries
Python: pandas, exploratory analysis, and visualization
Communicating insights and presenting a capstone project
Portfolio preparation and career direction
You can begin with spreadsheets and business questions. The curriculum introduces SQL and Python as you progress, alongside Excel, Power Query, and Power BI.
The current Data Analytics learning path runs for 12 weeks. The enrolment card shows the current cohort's start date.
Scholarship places use self-paced, pre-recorded lessons. Full-tuition learners can choose pre-recorded lessons or one-on-one live classes. Confirm your preferred format when you register.
The enrolment card displays the fees for your detected region. Scholarship applicants pay the scholarship fee only after approval. Full-tuition registration takes you through a payment review before checkout.