Data Science Intermediate
Multi-table pandas analysis: tidy data, cleaning, merge, groupby advanced, seaborn, light scipy stats, datetime, and capstone projects — 270+ drills, 32 playgrounds, 32 lessons.
Who it's for
Learners who completed Data Science Beginner and want multi-table analysis and publication-style plots.
What you'll learn
- Reshape, clean, and merge academy and shop datasets
- Build seaborn visualizations and correlation heatmaps
- Apply light statistical inference with scipy
- Parse datetimes and resample time series
- Complete shop revenue and enrollment capstone reports
Course contents
- 01Tidy data melt & pivot
- 02Missing data, duplicates, strings, outliers
- 03Merge, concat, validate joins
- 04Multi-key groupby, transform, filter
- 05Seaborn facets, boxplots, heatmaps
- 06Correlation, simulation, confidence intervals
- 07Datetime parsing & resampling
- 08Shop & academy project capstones