An Introduction to Statistics with Python: With Applications by Thomas Haslwanter

By Thomas Haslwanter

This textbook offers an
introduction to the loose software program Python and its use for statistical data
analysis. It covers universal statistical exams for non-stop, discrete and
categorical facts, in addition to linear regression research and subject matters from survival
analysis and Bayesian records. operating code and information for Python solutions
for each one attempt, including easy-to-follow Python examples, may be reproduced
by the reader and make stronger their fast realizing of the subject. With
recent advances within the Python surroundings, Python has turn into a well-liked language
for medical computing, providing a robust atmosphere for statistical data
analysis and an enticing replacement to R. The booklet is meant for master
and PhD scholars, ordinarily from the lifestyles and clinical sciences, with a basic
knowledge of facts. because it additionally presents a few statistics history, the
book can be utilized by means of a person who desires to practice a statistical data
analysis.   

  

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