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Data Analysis and Visualization with Python / Module 2

Module 2

NumPy Foundations for Data Work

Learners can use NumPy arrays for small numeric work, inspect shape and dtype, select with indexes and masks, calculate with vectorized operations, summarize by axis, and run a repeatable simulation.

Downloadable-first courseRead the lesson online, then use the downloadable pack to run the practice and worked notebooks locally. A browser lab can be added later after full visualization runtime validation.
Start lessonDownload course packOpen resources

Module sequence

  1. LessonRead the classroom explanation
  2. Practice activityUse the supplied notebook and dataset
  3. Module checkConfirm the skill before moving on

Notebook path

After downloading the pack, open modules/module-02/notebooks/module-02-practice.ipynb in JupyterLab.