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module
OBJECTIVE: learn pandas, Matplotlib and Seaborn by exploring, cleaning and reporting on real data. WHAT WE COVER: • Loading, inspecting, selecting, filtering and sorting data • New columns and transformations; counting categories • Missing values, types, duplicates, inconsistent labels and outliers • Grouping, joining, pivot tables, crosstab, melt and binning • Time-based analysis and correlation • Plots with Matplotlib and Seaborn, and writing an insight summary AFTER THIS MODULE YOU CAN: • Clean and analyse a real dataset with pandas • Make clear charts and turn them into a short insight report
Total: 2.5 h of applied study listed above.