Think Like a Data Scientist (Manning)
Monday, 24 April 2017

Author Brian Godsey presents a step-by-step approach to data science, combining analytic, programming, and business perspectives into easy-to-digest techniques and thought processes for solving real world data-centric problems.

<ASIN:1633430278>

By breaking down carefully crafted examples, you'll learn to combine analytic, programming, and business perspectives into a repeatable process for extracting real knowledge from data. The book illustrates statistical techniques and data science software. It also shows how to combine the techniques using a structured process for data science.

Author: Brian Godsey
Publisher: Manning
Date: March 2017
Pages: 425
ISBN: 978-1633430273
Print: 1633430278
Audience: Programmers wanting to be data scientists

Level: Intermediate
Category: Data Science 

 

datascithink

 

  • The data science process, step-by-step
  • How to anticipate problems
  • Dealing with uncertainty
  • Best practices in software and scientific thinking
  • ebook supplied free with Print book

Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.

To have new titles included in Book Watch contact  BookWatch@i-programmer.info

Banner
 


Reliable Source: Lessons from a Life in Software Engineering

Author: James Bonang
Date: January 2022
Pages: 608
Kindle: B09QCBVJ9V
Audience: General interest
Rating: 5
Reviewer: Kay Ewbank

This book combines a fun read with interesting insights into how to write reliable programs.



Learn dbatools in a Month of Lunches

Author: Chrissy LeMaire et al
Publisher: Manning
Pages: 400
ISBN: 978-1617296703
Print: 1617296708
Kindle: B0B39PCHL8
Audience: SQL Server DBAs
Rating: 5
Reviewer: Ian Stirk 

This book aims to make it easier to manage your SQL Server estate, how does it fare? 


More Reviews