pandas and Practical Data Preparation
Prepare a small table with visible, auditable decisions.
Executable courseUse the text pages for explanation and the browser notebook for practice. Sign in only when you want to save progress, continuation, completion, and badges.
Module sequence
- Series, DataFrames, Rows, and ColumnsUnit 1 · 20-30 minutes
- Reading Tabular Data and Inspecting TypesUnit 2 · 25-35 minutes
- Selecting Rows and Columns DeliberatelyUnit 3 · 25-35 minutes
- Missing and Invalid ValuesUnit 4 · 30-40 minutes
- Cleaning Types, Text, and CategoriesUnit 5 · 30-40 minutes
- Derived Columns Without Overwriting EvidenceUnit 6 · 20-30 minutes
- Grouping and Summary StatisticsUnit 7 · 30-40 minutes
- Combining Tables and Checking Unmatched RecordsUnit 8 · 30-45 minutes
- Simple Plots for Data InspectionUnit 9 · 25-35 minutes
- Export and Transformation LogUnit 10 · 25-35 minutes
- Data Project: Prepare a Fictional Activity LogUnit 11 · 65-90 minutes