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An Introduction to Statistics with Python: With Applications in the Life Sciences

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This textbook provides an introduction to the free software Python and its use for statistical data analysis. It covers common statistical tests for continuous, discrete and categorical data, as well as linear regression analysis and topics from survival analysis and Bayesian statistics. Working code and data for Python solutions for each test, together with easy-to-follow Python examples, can be reproduced by the reader and reinforce their immediate understanding of the topic. With recent advances in the Python ecosystem, Python has become a popular language for scientific computing, offering a powerful environment for statistical data analysis and an interesting alternative to R. The book is intended for master and PhD students, mainly from the life and medical sciences, with a basic knowledge of statistics. As it also provides some statistics background, the book can be used by anyone who wants to perform a statistical data analysis.

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Detail Information

Series Title

Statistics and Computing

Call Number

519.5 HAS i

Publisher

Cham, Switzerland : Springer Cham., 2016

Collation

XVII, 278

Language

English

ISBN/ISSN

978-3-319-28316-6

Classification

519.5

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

Ed. 1

Subject(s)

Statistics and Computing
Computational Science and Engineering

Specific Detail Info

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Statement of Responsibility

Thomas Haslwanter

Other Information

Cataloger

umi

Source

https://link.springer.com/content/pdf/10.1007/978-3-319-28316-6.pdf?pdf=button

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