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. Work stays in this browser unless you download it.
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