Make this skill yours.
Clean messy datasets, answer business questions with Pandas, and communicate findings through a practical analysis project.
Your learning path
Python and tidy data
- Python notebooks and reproducible analysis
- Lists, dictionaries, and functions for data work
- NumPy arrays and vectorized operations
- Reading files and inspecting data types
Analysis with Pandas
- Missing values and duplicate records
- Filtering, sorting, and calculated columns
- Grouping and meaningful aggregation
- Merging tables and join validation
Evidence and communication
- Dates, resampling, and rolling summaries
- Exploratory charts and honest scales
- Outliers, uncertainty, and analytical claims
- Retail analysis report and reproducibility
Build something useful
Analyze a retail orders dataset, document quality issues, and deliver a notebook with revenue trends and customer insights.
What to expect
Twelve guided reading lessons, worked examples, practice worksheets, a subject knowledge check, and an applied project. Allow approximately 40 minutes per lesson, with additional time for your project. The first lesson is available as a free preview.