Think Stats Exploratory Data Analysis(2nd Edition)
Authors:
Downey, Allen B Downey
Type:Hardcover/ PaperBack / Loose Leaf
Condition: Used/New
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Book details
ISBN: 1491907371, 9781491907375
Book publisher: O'Reilly Media
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Book Price $105 : Think Stats: Exploratory Data Analysis by Allen B. Downey, now in its second edition, is a comprehensive guide designed for individuals keen on delving into the nuances of statistical analysis using Python. The book demystifies the complexities surrounding data exploration by focusing on real-world examples and case studies that engage readers in practical application. Key themes include the principles of statistics, probability distributions, hypothesis testing, and exploratory data analysis. Downey strategically employs Python, a leading programming language in data science, to equip readers with hands-on coding experience through the utilization of libraries such as NumPy, SciPy, and Matplotlib. One of the major strengths of the book is its solution manual, which provides a detailed Answer Key to exercises, facilitating a deeper understanding of each chapter's concepts. Furthermore, the meticulously organized table of contents offers readers quick access to specific topics, enhancing the book's usability as a reference tool. While the book does not feature traditional characters, Downey uses relatable scenarios to illustrate how data-driven decisions are made across various industries. Reception of the book has been positive, as readers appreciate its clarity, practical approach, and effective integration of coding exercises that reinforce statistical learning. The second edition strengthens its predecessor by incorporating new case studies and updated Python code to reflect current data analysis trends. Tuition costs rising? Consider this cheap solution manual as a cost-effective study aid.
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BM
Think Stats 2nd Edition serves as a really useful introduction to exploratory data analysis, especially if you're just getting started. The author's approach of using the Python language for teaching makes it very hands-on, which I appreciate. Though it's a strong book, I found a couple of typos in the examples, but these don't really detract from the content. Happy it arrived right on schedule, just in time for a weekend of data crunching!
BT
I bought this book expecting a deep dive into statistical methods, and it delivered just that. The explanations of concepts like probability and hypothesis testing were clear and included excellent examples. However, some parts felt a bit rushed, hence not a full five stars for me. That said, the book was delivered promptly, and with my subscription, I saved a few bucks, which is always nice!
EA
As an aspiring data scientist, I found 'Think Stats' to be an essential resource. This book is packed with practical examples and clear explanations that make complex concepts approachable. The author's ability to link theory with relevant examples is commendable. The book arrived quickly, perfectly packaged, and I even got an extra discount through my membership. It's been a valuable addition to my library, and I recommend it to anyone diving into data analysis.
































