Course overview
An applied introduction to data analysis using Python. Learners work through messy datasets, visual reasoning, basic statistics, and a final insight report.
What you will learn
- Prepare a dataset for analysis
- Use Python data tools
- Create clear visualizations
- Explain uncertainty and limitations
- Present evidence-based findings
Course outline
- 01Data questions and workflow
- 02Python for analysis
- 03Cleaning and transforming data
- 04Exploratory analysis
- 05Visualization and communication
- 06Final insight project
Requirements
- Basic numeracy
- Some Python familiarity is helpful but not required
- Laptop recommended