Think Stats: Exploratory Data Analysis in Python is an introduction to Probability and Statistics for Python programmers. It emphasizes simple techniques you can use to explore real data sets and answer interesting questions. The book presents a case study using data from the National Institutes of Health. Readers are encouraged to work on a project with real datasets.
Topics included: Exploratory data analysis • Distributions • Probability mass functions • Cumulative distribution functions • Modeling distributions • Probability density functions • Relationships between variables • Estimation • Hypothesis testing • Linear least squares • Regression • Time series analysis • Survival analysis • Analytic methods.
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Publisher: Green Tea Press
Published: October 2016
Format(s): PDF, HTML(Online)
File size: 1.98 MB
Number of pages: 264
Download / View Link(s): PDF, Online