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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
- 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
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Classic Computer Science Problems in Python
Author: David Kopec
Publisher: Manning
Date: March 2019
Pages: 224
ISBN: 978-1617295980
Print: 1617295981
Kindle: B09782BT4Q
Level: Intermediate
Audience: Python developers
Category: Python
Rating: 4
Reviewer: Mike James
Classic algorithms in Python - the world's favourite language.
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Driving Value With Sprint Goals
Author: Maarten Dalmijn
Publisher: Addison-Wesley
Pages: 256
ISBN: 9780137381920
Print: 0137381921
Kindle:B0C7ZJR7N2
Audience: Scrum developers
Rating: 5
Reviewer: Kay Ewbank
Over the years I've read a lot of books about agile development and Scrum, and most concentrate on the methodology rather tha [ ... ]
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