Level 1 of 3
Beginner Level
Prerequisites
Basic computer use and school mathematics (percentages, averages). Some Python helps; the essentials are taught in module 1.
Duration
4 weeks · 52 guided hours · 5 modules. Taught live by an instructor — online or in person.
By the end of this level you can
- Turn an organisational question into a data question and analysis plan
- Explore and summarise data with pandas
- Describe data with appropriate statistics and explain uncertainty in simple terms
- Choose clear charts and tell an honest story with data
- Protect people's privacy when analysing and sharing data
Modules
- 1Module 1 · 10 h · 3 lessons · free taster lessonThe Data Science Process
- 2Module 2 · 11 h · 3 lessons · free taster lessonExploratory Data Analysis with pandas
- 3Module 3 · 10 h · 3 lessons · free taster lessonStatistics for Decisions
- 4Module 4 · 11 h · 3 lessons · free taster lessonVisualisation and Data Storytelling
- 5Module 5 · 10 h · 3 lessons · free taster lessonData Privacy and Ethics in Analysis
- Free course quizQuick Quiz — Data Science Basics
Beginner level project
Water Access Snapshot from Survey Data
Analyse a provided, anonymised household survey to answer a water committee's question — which areas have the poorest access to safe water, and why it might be — and present the findings in a short, illustrated brief.
Deliverables
- A notebook that loads, cleans and explores the survey data
- Summary tables and three well-chosen charts
- A two-page brief with findings, caveats and recommendations
- A note on how privacy was protected in the outputs
Assessed on
- The analysis answers the stated question with correct summaries
- Charts are appropriate, labelled and honest
- Uncertainty and data limits are explained in plain language
- No output allows individuals or households to be identified
All levels are taught live by an instructor — online or in person — see registration options.