Murach's R for Data Analysis (Murach)
Monday, 23 January 2023

This book sets out to teach the R skills needed to become a data analyst. Scott McCoy starts with just the parts of the R language relevant to data analysis before moving on to hen,the use of R with the tidyverse package to get, clean, prepare, analyze, and visualize data at a professional level. By the end of the book readers will be creating linear regression models and classification models and using them to make predictions. This book contains three realistic analyses that use real-world data.

<ASIN:B0BJXF7F23>

 

Author: Scott McCoy
Publisher: Murach
Date: December 2022
Pages: 578
ISBN: 978-1943873036
Print:B0BJXF7F23
Audience: People wanting to use R
Level: Introductory/Intermediate
Category: Data Science and Other Languages

murachr

For recommendations of Big Data books see Reading Your Way Into Big Data in our Programmer's Bookshelf section.

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Author: J. Guy Davidson and Kate Gregory
Publisher: Addison-Wesley Professional
Date: December 2021
Pages: 352
ISBN: 978-0137647842
Print: 0137647840
Kindle: B09HTH1X38
Audience: C++ developers
Rating: 5
Reviewer: Mike James
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Author: Rick Battagline
Publisher: No Starch
Date: May 2021
Pages: 304
ISBN: 978-1718501447
Print: 1718501447
Kindle: B08TSYXJTS
Audience: WebAssembly developers
Rating: 5
Reviewer: Ian Elliot
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