What you will be able to do
- Write Python programmes
- clean, analyse and chart data
- use spreadsheets and SQL basics
- explain a model's limits
Syllabus
- 1 Python basics
- 2 Loops, functions and files
- 3 Spreadsheets and data cleaning
- 4 Pandas and charts
- 5 SQL queries
- 6 Simple prediction and AI tools
- 7 Data ethics and storytelling
- 8 Data project
Hands-on practical activities
- Analyse a real dataset (school results, rainfall, market prices)
- build a dashboard
- automate a repetitive task (renaming files, sending reports)
- data collection fieldwork
Resources and equipment
Laptops, Python and notebooks, spreadsheet software, sample datasets, offline package bundle
🔋 No power? Off-grid option
Offline Python distribution and datasets on the local learning server
Career direction
Data analyst, junior data scientist, automation specialist, monitoring and evaluation data officer
Why it matters in the market
Data analysis and automation skills are in demand in business, NGOs, government and remote work
Assessment
Labs, project report and presentation
Progression
From DS1, DS7; leads to MK2 Data and AI and MK10 AI Product Development