By Thomas Haslwanter
This textbook presents an
introduction to the unfastened software program Python and its use for statistical data
analysis. It covers universal statistical checks for non-stop, discrete and
categorical facts, in addition to linear regression research and themes from survival
analysis and Bayesian facts. operating code and information for Python solutions
for each one attempt, including easy-to-follow Python examples, should be reproduced
by the reader and strengthen their rapid knowing of the subject. With
recent advances within the Python environment, Python has develop into a favored language
for medical computing, delivering a robust atmosphere for statistical data
analysis and an attractive replacement to R. The booklet is meant for master
and PhD scholars, more often than not from the existence and clinical sciences, with a basic
knowledge of records. because it additionally presents a few data heritage, the
book can be utilized through a person who desires to practice a statistical data
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Additional info for An Introduction to Statistics with Python: With Applications in the Life Sciences (Statistics and Computing)
An Introduction to Statistics with Python: With Applications in the Life Sciences (Statistics and Computing) by Thomas Haslwanter