← All coursesOctober 2026 cohort · 12 Weeks

Data Analytics

Turn raw data into useful answers. Build confidence with Excel, Power Query, Power BI, SQL, and Python through practical business projects.

ExcelPower QueryPower BISQLPython

Classes start October 5, 2026

A practical data analysis workspace
Who this course is for

Start with a practical goal.

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.

Prepare for the practical work

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.

Do you need coding to learn data analytics?
The learning experience

Build skills you can put to work.

Learn through structured lessons and practical projects, then bring your work together in a portfolio you can share.

Scholarship learning

Self-paced, pre-recorded lessons. Scholarship places cover this format.

Full-tuition learning

Choose self-paced, pre-recorded lessons or one-on-one live classes.

Course curriculum

What you’ll learn.

  1. 01

    Data fundamentals and asking useful business questions

  2. 02

    Excel formulas, tables, PivotTables, and data cleaning

  3. 03

    Power Query: combine, transform, and prepare data

  4. 04

    Power BI: data models, DAX, and interactive dashboards

  5. 05

    SQL: filtering, joins, aggregations, and business queries

  6. 06

    Python: pandas, exploratory analysis, and visualization

  7. 07

    Communicating insights and presenting a capstone project

  8. 08

    Portfolio preparation and career direction

Put it into practice

Projects you’ll build.

Project 01

Sales Performance Dashboard

Project 02

SQL Business Analysis

Project 03

Python Data Exploration

Project 04

Portfolio Analytics Project

Questions about this course

Do I need to know programming before studying data analytics?

You can begin with spreadsheets and business questions. The curriculum introduces SQL and Python as you progress, alongside Excel, Power Query, and Power BI.

How long does the course take?

The current Data Analytics learning path runs for 12 weeks. The enrolment card shows the current cohort's start date.

Are the classes live or pre-recorded?

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.

How do fees and scholarship payments work?

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.

A clear next step.

Choose a scholarship application or full-tuition registration. Your chosen course will already be selected in the form.