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- Hands-On Learning: Transform raw data into insights using Python. Perfect for coders who want to dive into stats without drowning in formulas!
- Real-World Case Studies: Analyze datasets from the National Institutes of Health and more. Learn by doing, not just theorizing!
- Jupyter Notebooks Included: Every chapter comes with interactive notebooks—run code, tweak examples, and solve exercises seamlessly. Ideal for Colab or local setups!
- Cutting-Edge Topics: Explore regression, time series analysis, survival analysis, and Bayesian methods. Level up your data science toolkit!
- Free & Open Source: Licensed under Creative Commons (CC BY-NC-SA). Download the PDF, fork the GitHub repo, and start learning today!
- Python devs eager to add stats/data skills.
- Data enthusiasts craving practical, code-driven analysis.
- Educators seeking a modern, interactive stats resource.
https://allendowney.github.io/ThinkStats/
#DataDriven #CodeFirst #StatsInPython #FreeLearning — Turn data into wisdom, one line of Python at a time!
https://t.me/CodeProgrammer
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