What you will be able to do
Complete a specialist school with an applied project every month and a final work placement through Zambesi Digital Works. Capstone and public portfolio required.
Syllabus
- Foundation (4 wks): Statistics basics, spreadsheets, data ethics → Cleaned dataset
- Python for data (6 wks): Python, pandas, visualisation, notebooks → Analysis notebook
- SQL and databases (5 wks): Queries, joins, aggregation, data warehousing concepts → SQL report pack
- Dashboards (5 wks): Open-source and free BI tools, storytelling with data → Interactive dashboard
- Machine learning basics (6 wks): Regression, classification, model evaluation, bias → Prediction model with evaluation
- Applied AI and data products (4 wks): Computer vision and language examples, deployment → Small AI data product
- Capstone and placement (8 wks): NGO, school or SME dataset project → Data case study and presentation
Hands-on practical activities
- Real NGO or school dataset projects
- dashboards
- model testing
Resources and equipment
Laptops, notebooks, SQL database, dashboard tools
🔋 No power? Off-grid option
Local datasets on server; batch uploads
Career direction
Data analyst, BI analyst, junior data scientist, M&E data specialist
Why it matters in the market
Data roles are advertised across banks, NGOs, retail, telecoms and government
Assessment
At least 60% overall, all core projects, approved capstone, public portfolio, satisfactory placement report.
Progression
Entry from EX2; TR5; TR11