Think Stats Exploratory Data Analysis in Python Version 2.1.0 Allen B. Downey Green Tea Press Needham, Massachusetts. Think Stats: Exploratory Data Analysis 2nd Edition by Allen B. Downey (Author) 4.2 out of 5 stars 90 ratings. Think Stats: Exploratory Data Analysis will take you through the entire process of exploratory data analysis and empirical probability in Python: from collecting data and generating different descriptive statistics in Python to identifying patterns and testing hypothesis. You’ll explore distributions, rules of probability, visualisation, and many other tools and concepts. Think Stats is an introduction to Probability and Statistics for Python programmers. In a few bullets, you will: You can find the book on Amazon if you decide to purchase a paperback copy here: Also, if you liked it, take a look at our review of Practical Statistics for Data Scientists, another really awesome book that covers statistics and probability in Python! Allen Downey "O'Reilly Media, Inc.", Oct 16, 2014 - Computers - 226 pages. It is worth to mention that each chapter includes exercises readers can do to develop and solidify their learning. Think Stats, 2nd Edition: Exploratory Data Analysis Allen B. Downey If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. $25.15: $19.78: Kindle Ian Ozsvald, Your Python code may run correctly, but you need it to run faster. Think Stats is a great introduction to statistics for any person with basic programming skills that avoids the formulas and goes directly to the practical side of the subject matter. Updated for Python …. O’Reilly members get unlimited access to live online training experiences, plus books, videos, and digital content from 200+ publishers. There was an error while trying to send your request. Harvey Deitel, The professional programmer's Deitel® guide to Python® with introductory artificial intelligence case studies Written for programmers …, by When you write programs, you express your understanding in code; and while you are debugging the program, you are also correcting your understanding. The book Think Stats teaches us to do this in a practical manner: it is of little use knowing the theory of statistics and probability if we do not know how to apply it to real data and solve relevant problems. Sync all your devices and never lose your place. by The following is a review of the book Think Stats: Exploratory Data Analysis by Allen B. Downey. Once you know Python and some basic statistics, you will best grasp and understand think stats, and make the most out of the awesome value this book provides: It will mix both worlds, teaching statistics through coding, allowing you to consolidate the basic statistical concepts you know while expanding this knowledge with more advanced and insightful lessons. You have successfully subscribed to the newsletter. Paul Deitel, The organization of the book follows the process I use when I start The following is a review of the book Think Stats: Exploratory Data Analysis by Allen B. Downey. The main idea behind the book is that some ideas that are hard to grasp mathematically are easy to understand by simulation. Review. This book is an introduction to the practical tools of exploratory data anal-ysis. For example, we approximate p-values by runningrandom simulations, which reinforces the meaning of the p-value. What do we mean by this? If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. The book presents a case study using data from the National Institutes of Health. Explore a preview version of Think Stats, 2nd Edition right now. Download Think Stats: Exploratory Data Analysis or Read Think Stats: Exploratory Data Analysis online books in PDF, EPUB and Mobi Format. Paul J. Deitel, We are a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for us to earn fees by linking to Amazon.com and affiliated sites.