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 |
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Others Statistics Tutorials
Think Stats: Probability and Statistics for Programmers
Think Bayes: Bayesian Statistics in Python
StatLect - Lectures on Probability Theory and Mathematical Statistics
Lies, Damned Lies, or Statistics: How to Tell the Truth with Statistics
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