cfgranda/ps4ds
Probability and Statistics for Data Science: A self-contained introduction to probability and statistics for data science, including a free pdf, 103 Python notebooks using 23 real-world datasets, 118 videos with slides, and solutions to 200 exercises
This resource helps individuals understand and apply probability and statistics to real-world data science challenges. It takes raw datasets, ranging from sports statistics to economic indicators, and teaches you to analyze them using statistical methods. This is ideal for aspiring data scientists, analysts, or anyone looking to build a strong foundational understanding of data-driven decision-making.
572 stars. Actively maintained with 2 commits in the last 30 days.
Use this if you need a comprehensive, self-contained guide to probability and statistics for data science, complete with practical Python examples and exercises.
Not ideal if you are looking for an advanced deep learning framework or a tool for highly specialized statistical modeling without foundational learning.
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572
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70
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Jupyter Notebook
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Last pushed
Feb 03, 2026
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