Think Stats, 2nd Edition: Exploratory Data Analysis in Python
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.
You'll work with a case study throughout the book to help you learn the entire data analysis process from collecting data and generating statistics to identifying patterns and testing hypotheses. Along the way, you'll become familiar with distributions, the rules of probability, visualization, and many other tools and concepts.
| Pages : | 226 pages |
| Size : | HTML and PDF (242 pages, 1.8 MB) |
| File type : | |
| Downloads: | 26 |
| Created: | 2020-08-30 |
| License: | CC BY-NC 4.0 |
| Author(s): | Allen B. Downey |
Warning: Trying to access array offset on false in /home/tutovnfz/public_html/article.php on line 233
Others Statistics Tutorials
OpenIntro Statistics, 4th Edition
Think Bayes: Bayesian Statistics in Python
Lies, Damned Lies, or Statistics: How to Tell the Truth with Statistics
Others related eBooks about Think Stats, 2nd Edition: Exploratory Data Analysis in Python
Make Games with Python on Raspberry PiYou are going to learn how to make a game on our Raspberry Pi from the ground up. ...
Intel Xeon Phi Coprocessor Architecture and ToolsDownload free course Intel Xeon Phi Coprocessor Architecture and Tools, pdf file on 220 pages by Rezaur Rahman....
The Tiny Book of RulesDownload free course The Tiny Book of Rules, pdf file on 15 pages by Johan Falk, Wolfgang Ziegler....
Thinking Forth: A Language and Philosophy for Solving ProblemsThinking Forth is a book about the philosophy of problem solving and programming style, applied to the unique programming language Forth. Published first in 1984, it could be among the timeless classics of computer books, such as Fred Brooks' The Mythical Man-Month and Donald Knuth's The Art of Comp...
Interpretable Machine Learning: A Guide for Making Black Box Models ExplainableThis book explains to you how to make (supervised) machine learning models interpretable....
Rational Cybersecurity for BusinessUse the guidance in this comprehensive field guide to gain the support of your top executi..., download free Cybersecurity tutorial in PDF (333 pages) created by Dan Blum ....
Download Meteor Tutorial in PDFDownload free Meteor tutorial course in PDF, training file in 48 chapters and 172 pages. Free unaffiliated ebook created from Stack OverFlow contributor....
Building Secure and Reliable SystemsCan a system be considered truly reliable if it isn't fundamentally secure? Or can it be c..., download free Secure Systems tutorial in PDF (558 pages) created by Piotr Lewandowski ....
R for Data ScienceDownload free course R for Data Science, pdf file on 520 pages by Garrett Grolemund, Hadley Wickham....
Energy Efficient ServersEnergy Efficient Servers: Blueprints for Data Center Optimization introduces engineers and..., download free Servers tutorial in PDF (360 pages) created by Corey Gough ....