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Think Like a Data Scientist: Tackle the data science process step-by-step
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Think Like a Data Scientist: Tackle the data science process step-by-step

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3.82  ·  Rating details ·  50 ratings  ·  7 reviews
Think Like a Data Scientist 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.


About the Technology

Data collected from customers, scientific measurements, IoT sensors, and so on is valuable only if you understand it. Da
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Paperback, 1st, 328 pages
Published March 31st 2017 by Manning Publications
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Brian Godsey
Mar 21, 2017 rated it it was amazing  ·  (Review from the author)
Shelves: data-science
BEST BOOK EVER

Disclaimer: I wrote it.
Jorg
Apr 18, 2017 rated it really liked it
Pros: its generality.
Cons: its generality.

More seriously, this is a good introduction into the general *practices* of data science, one that does not try to teach you either statistics or programming, but spends much of its time in the vaguely defined but important areas of project design, tool choice, goal specification etc. A good complementary text to something like R for Data Science (or Data Science with R, which shows where MY preferences are).
Michal Paszkiewicz
Jul 24, 2017 rated it liked it
A great explanation of Data Science concepts. The author shows maturity in not suggesting that modern machine learning techniques may be an answer for everything and provides good explanations for when and why to use statistical analysis, machine learning and various techniques and patterns. I don't feel I necessarily learnt a lot while reading this book, but it definitely reinforced a lot of the knowledge I've gained from previous books and it gave me a slightly different perspective on how to ...more
Tim Verstraete
Sep 09, 2017 rated it really liked it
It was well written and exactly what I was looking for: knowing what a data scientist does ... although I have been doing R&D / Engineer work for a long time including project management and thus already know most planning things, it was interesting to read it from a data scientists point of view. ...more
Asafallenleaf
Mar 16, 2019 rated it it was ok
It covers too many domains of knowledge and that's a con, but it contains some difficult concepts about statistics explained simply.
Helen Mary Labao Barrameda
Oct 23, 2018 rated it really liked it
Very practical read
Prajwal Paudyal
Jul 11, 2020 rated it really liked it
Practical, scenario based, and is generally a light read. Enjoyed reading it end to end. Isnt really a reference so not sure if Ill read it again.
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