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

An Introduction to Statistics with Python

With Applications in the Life Sciences

By: Thomas Haslwanter

eText | 20 July 2016

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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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You Can Find This eBook In

Non-FictionComputing & I.T.Business ApplicationsMathematical & Statistical SoftwareMedicineMedicine in GeneralPublic Health & Preventive MedicineEpidemiology & Medical StatisticsComputer ScienceComputer Programming & Software DevelopmentProgramming & Scripting LanguagesMathematics
Probability & StatisticsScienceBiology, Life SciencesLife Sciences in GeneralScience in GeneralMaths for ScientistsApplied MathematicsCompilers & InterpretersCalculus & Mathematical AnalysisNumerical Analysis

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Hardcover

Published: 16th November 2022

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