Think Stats

This book PDF is perfect for those who love Computers genre, written by Allen B. Downey and published by "O'Reilly Media, Inc." which was released on 16 October 2014 with total hardcover pages 226. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Think Stats books below.

Think Stats
Author : Allen B. Downey
File Size : 42,9 Mb
Publisher : "O'Reilly Media, Inc."
Language : English
Release Date : 16 October 2014
ISBN : 9781491907368
Pages : 226 pages
Get Book

Think Stats by Allen B. Downey Book PDF Summary

If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. By working with a single case study throughout this thoroughly revised book, you’ll learn the entire process of exploratory data analysis—from collecting data and generating statistics to identifying patterns and testing hypotheses. You’ll explore distributions, rules of probability, visualization, and many other tools and concepts. New chapters on regression, time series analysis, survival analysis, and analytic methods will enrich your discoveries. Develop an understanding of probability and statistics by writing and testing code Run experiments to test statistical behavior, such as generating samples from several distributions Use simulations to understand concepts that are hard to grasp mathematically Import data from most sources with Python, rather than rely on data that’s cleaned and formatted for statistics tools Use statistical inference to answer questions about real-world data

Think Stats

If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. By working with a single case study throughout this thoroughly

Get Book
Think Stats

If you know how to program, you have the skills to turn data into knowledge using the tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. You'll work with a case study throughout the book

Get Book
Think Stats

Teaches the entire exploratory data analysis process using a single case study.--

Get Book
Think Bayes

If you know how to program with Python, and know a little about probability, you're ready to tackle Bayesian statistics. This book shows you how to use Python code instead of math to help you learn Bayesian fundamentals. Once you get the math out of the way, you'll be able

Get Book
Statistics for People Who  Think They  Hate Statistics

Now in its third edition, this title teaches an often intimidating and difficult subject in a way that is informative, personable, and clear.

Get Book
Think Bayes

If you know how to program, you're ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical formulas, using discrete probability distributions rather than continuous mathematics. Once you get the math out of the way, the Bayesian fundamentals will

Get Book
Statistics for People Who  Think They  Hate Statistics

Based on Neil J. Salkind’s bestselling text, Statistics for People Who (Think They) Hate Statistics, this adapted Excel 2016 version presents an often intimidating and difficult subject in a way that is clear, informative, and personable. Researchers and students uncomfortable with the analysis portion of their work will appreciate the

Get Book
Think Complexity

Dive into Python's advanced possibilities, including algorithm analysis, graphs, scale-free networks, and cellular automata with this in-depth, hands-on guide.

Get Book