Telling Stories with Data (Chapman & Hall/CRC)
Monday, 07 August 2023

This book teaches the end-to-end skills needed to do data science and includes applications in R. Dr. Rohan Alexander says this means gathering, cleaning, preparing, and sharing data, then using statistical models to analyse data, writing about the results of those models, drawing conclusions from them, and finally, using the cloud to put a model into production, all done in a reproducible way. The book looks at how the communicate the results of statistical modelling, and also looks at ethics and reproducibility.

Author: Dr. Rohan Alexander
Publisher: Chapman & Hall/CRC
Date: July 2023
Pages: 598
ISBN: 978-1032134772
Print: 1032134771
Kindle: B0C97MMKPX
Audience: Data scientists
Level: Intermediate
Category: Data Science

storiesdata

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

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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: Luis G. Serrano
Publisher: Manning
Date: December 2021
Pages: 512
ISBN: 978-1617295911
Print: 1617295914
Kindle: B09LK7KBSL
Audience: Python developers interested in machine learning
Rating: 5
Reviewer: Mike James
Another book on machine learning - surely we have enough by now?


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