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Data science
The Python stack, statistics, classical ML and evaluation
5 topics 5 sections Python 3.14 beginner → intermediate
All beginner intermediate advanced
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01 · Python stack
5 topics Data visualization Choose charts and visual channels from the analytical question, then handle scales, missing values, uncertainty, and accessibility without distorting the result. intermediate 16 min Matplotlib Build reproducible Python figures with the object-oriented API, deliberate color scales, reliable layouts, and explicit output backends. beginner 14 min NumPy Work with multidimensional arrays through explicit shape, dtype, and ownership rules, including broadcasting, indexing, random data, and linear algebra. beginner 18 min pandas Process tabular data with explicit indexes, dtypes, and join cardinality, then build verifiable cleaning, aggregation, and merge pipelines. intermediate 14 min Polars Process tabular data with expressions and lazy query plans while making schemas, nulls, join cardinality, and execution boundaries explicit. intermediate 15 min