Data Analytics
Turn raw data into decisions. Master Excel, SQL, Power BI and AI-assisted analysis, then tell the story behind the numbers.
Course Overview
Data analytics is the most accessible role in the data family — you don't need machine learning to be valuable, you need to be the person who can answer "why did that number move?" reliably and fast.
The programme runs on the three tools that actually appear in job descriptions: Excel, SQL and Power BI, in that order, each taken well past the basics.
A full module is given to AI-assisted analysis, because the analysts getting hired now are the ones who use it well rather than the ones pretending they don't.
Every module produces something for your portfolio, and the final project is a complete end-to-end analysis with a dashboard you present and defend.
Course Outline & Modules
Expand each module to see the topics you'll cover.
- What data analysis is and why it matters
- The process of data analysis
- Data analyst roles, skills and career paths
- Exercise: identify how data is used in a business you admire
Like what you'll learn? Secure your spot in the next cohort.
Skills you'll gain
The stack and craft you'll walk away fluent in.
- Advanced Excel (pivot tables, VLOOKUP, INDEX-MATCH, SUMIFS)
- SQL querying, joins & aggregation
- Power BI & Power Query data modelling
- Dashboard design & data storytelling
Roles this prepares you for
Where our graduates step in after course + internship.
Projects you'll build
Clean a messy sales dataset in Excel, model it, and surface the three findings that would change how the business operates
Query a relational database with joins and aggregations to answer a set of commercial questions, documented end to end
Build and present a live dashboard with drill-downs, filters and a written narrative for a non-technical audience
Who it's for
Built for people ready to put in real work.
Ready to start Data Analytics?
Apply now to secure your seat, or apply for a scholarship if funding is a barrier.