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Data Analysis and Visualization with Python / Module 8

Module 8

Time Series and Rolling Analysis

Learners can parse dates, create date parts, resample by period, calculate rolling averages, compare equal windows, and explain why descriptive time analysis is not forecasting.

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.

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-08/notebooks/module-08-practice.ipynb in JupyterLab.