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Shea, John M. (Professor of electrical engineering),

Foundations of data science with Python / John M. Shea. - First edition. - 488 Pages : Illustrations ; 24 cm - Chapman & Hall/CRC the Python series . - Chapman & Hall/CRC the Python series. .

Includes index.

First simulations, visualizations, and statistical tests -- First visualizations and statistical tests with real data -- Introduction to probability -- Null hypothesis tests -- Conditional probability, dependence, and independence -- Introduction to Bayesian methods -- Random variables -- Expected value, parameter estimation, and hypothesis tests on sample means -- Decision making with observations from continuous distributions -- Categorical data, tests for dependence, and goodness of fit for discrete distributions -- Multidimensional data : vector moments and linear regression -- Working with dependent data in multiple dimensions.


Electronic reproduction.
Ipswich, MA
Available via World Wide Web.

ISBN: 9781032350424

Standard No.: 10.1201/b23127 doi

Source: 9781003324997 Taylor & Francis

LCCN: 2023037554

Subjects--Topical Terms:
Statistics--Data processing.
Probabilities--Data processing.
Information visualization.
Python (Computer program language)

Dewey Class. No.: 519.50285 SJF