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.

 

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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Deep Learning (No Starch Press)

Author: Andrew Glassner
Publisher: No Starch Press
Date: July 2021
Pages: 750
ISBN: 978-1718500723
Print: 1718500726
Kindle: ‎ B085BVWXNS
Audience: Developers interested in deep learning
Rating: Mike James
Reviewer: 5
A book on deep learning wtihout an equation in sight?



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Author: Sean McManus
Publisher: Easy Steps, 7th Ed, 2023
Pages: 228
ISBN: 978-1840789850
Print: 1840789859
Kindle: B0C24YV788
Audience:
Rating: 4
Reviewed by: Sue Gee
Web design without a designer - is it possible?


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