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: Al Sweigart
Publisher: No Starch Press
Date: June 2021
Pages: 432
ISBN: 978-1718501249
Print: 1718501242
Kindle: B08FH9FV7M
Audience: Novice Python developers
Rating: 4
Reviewer: Lucy Black
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Publisher: Addison-Wesley
Pages: 304
ISBN: 978-0137961009
Print: 0137961006
Kindle: B0BXWP88KP
Audience: Adherents of Agile methodology
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Reviewer: Alex Denham

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