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If you know how to program, you have the skills to turn data into knowledge, using the tools of probability and statistics. This thoroughly revised edition shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. Through practical examples and exercises that follow a collection of real-world datasets, you’ll learn the entire process of exploratory data analysis–from collecting data and generating statistics to identifying patterns and testing hypotheses. 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.
Overview – Think Stats: Exploratory Data Analysis by Allen Downey
Before you start the download of Think Stats: Exploratory Data Analysis by Allen Downey , you can review the following technical details about the eBook:
- Full Book Name: Think Stats: Exploratory Data Analysis
- Author Name: Allen Downey
- Book Genre: Non-Fiction, Tech BOOKGENRE Devices
- Series Synopsis: “”
- ISBN # 9781098190255
- ASIN # 1098190254
- Edition Language: English
- Date of Publication: June 3, 2025
- File Name: Think_Stats_3rd_Edition_Early_Release_-_Allen_Downey.epub, Think_Stats_3rd_Edition_Early_Release_-_Allen_Downey.pdf
- EPUB Size: 4.0 MB
- PDF Size: 2.2 MB
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