Core Career and Innovation Pathways
Data and Analytics
Covers SQL, Python, dashboards, statistics, data engineering and applied machine learning.
What you'll learn
Core modules
- SQL & databases
- Python for data
- Dashboards & visualisation
- Statistics for decisions
- Data engineering
- Applied machine learning
Before you apply
Entry requirements
- Comfortable with numbers and logic.
- A computer and internet connection.
- AI & Digital Foundations or equivalent.
- About 6–8 hours a week for 20 weeks.
Evidence you produce
Query and analysis exercises, dashboards and an applied ML project.
Outcome
The ability to turn data into insight and build analytics solutions.
Ready to start?
Applications collect only what we need and route you into onboarding and your baseline diagnostic.