E-Books →Think Stats, 3rd Edition (Early Release)

Whether you're a data scientist, software engineer, or data enthusiast, you'll get up to speed on commonly used tools including NumPy, SciPy, and Pandas as you explore distributions, relationships between variables, visualization, and many other concepts. And this updated guide has been fully moved into Jupyter notebooks, so you can read the text, run the code, and work on exercises all in one place.
Analyze data distributions and visualize patterns using Python libraries
Improve predictions and insights with regression models
Dive into specialized topics like time series analysis and survival analysis
Integrate statistical techniques and tools for validation, inference, and more
Communicate findings effectively with enhanced data visualization practices
Troubleshoot common data analysis challenges
Boost reproducibility and collaboration in data analysis projects with interactive notebooks