Python for Data Analysis  ›  Lesson 1

Setting Up Your Python Data Analysis Workspace

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About this lesson

In this lesson, learners set up a reliable Python workspace for data analysis using a local installation, virtual environments, Jupyter notebooks, and essential packages such as pandas, NumPy, Matplotlib, and Seaborn.

The focus is practical: create a clean project folder, install dependencies safely, verify the environment, and understand why reproducible setup habits matter before starting analysis work.

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