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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SQL Query Design Patterns and Best Practices

Author: Steve Hughes et al
Publisher: Packt Publishing
Pages: 270
ISBN: 978-1837633289
Print: 1837633282
Kindle: B0BWRD7HQ7
Audience: Query writers
Rating: 2.5
Reviewer: Ian Stirk

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Author: Charles Petzold
Publisher: Microsoft Press
Date: August 2022
Pages: 480
ISBN: 978-0137909100
Print: 0137909101
Kindle: B0B123P5GV
Audience: General
Rating: 5
Reviewer: Mike James
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