By: Julia Silge
Format: 191 pages, Paperback
Much of the data available today is unstructured and text-heavy, making it challenging for analysts…
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By: Garrett Grolemund
Format: 192 pages, ebook
Learn how to program by diving into the R language, and then use your newfound skills to solve prac… read more
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By: Eric Matthes
Format: 303 pages, Paperback
Python Crash Courseis a fast-paced, thorough introduction to programming with Python that will have… read more
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By: Gareth James , None , None , None
Format: 182 pages, Hardcover
An Introduction to Statistical Learning provides an accessible overview of the field of statistical… read more
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By: Hadley Wickham , Garrett Grolemund
Format: 427 pages,
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduce… read more
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By: Will Kurt
Format: 256 pages, Paperback
Fun guide to learning Bayesian statistics and probability through unusual and illustrative examples… read more
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By: Richard McElreath
Format: 487 pages, Hardcover
Statistical A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confide… read more
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By: Hadley Wickham
Format: 213 pages, Paperback
Provides both rich theory and powerful applications Figures are accompanied by code required to pro… read more
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By: Julia Silge
Format: 191 pages, Paperback
Much of the data available today is unstructured and text-heavy, making it challenging for analysts… read more
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By: Nick Huntington-Klein
Format: 619 pages, Paperback
The Effect: An Introduction to Research Design and Causality is about research design, specifically… read more
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