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Data Science with Python
IntermediateData & AI
NumPy, pandas, cleaning, EDA, feature engineering, statistics and visualization with reproducible notebooks.
24 lessons 6 labs 3 projects ~16h
Prerequisites: Python Data Types
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Curriculum
This track's 24 lessons are being authored. The full platform builds every track out with visual lessons, code and labs — this build ships flagship lessons first (variables, dictionaries, closures, decorators, the GIL and async/await).
See where this fits on the roadmapWhy it matters
Interview importance 4/5 · production importance 4/5.
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