Goodreads helps you keep track of books you want to read.
Start by marking “The Data Science Design Manual” as Want to Read:
The Data Science Design Manual
Enlarge cover
Rate this book
Clear rating
Open Preview

The Data Science Design Manual

4.57  ·  Rating details ·  23 ratings  ·  6 reviews
This book serves an introduction to data science, focusing on the skills and principles needed to build systems for collecting, analyzing, and interpreting data. As a discipline, data science sits at the intersection of statistics, computer science, and machine learning, but it is building a distinct heft and character of its own.

In particular, the book stresses the follow
...more
Hardcover, First Edition, 445 pages
Published July 1st 2017 by Springer
More Details... Edit Details

Friend Reviews

To see what your friends thought of this book, please sign up.

Reader Q&A

To ask other readers questions about The Data Science Design Manual, please sign up.

Be the first to ask a question about The Data Science Design Manual

This book is not yet featured on Listopia. Add this book to your favorite list »

Community Reviews

Showing 1-48
Average rating 4.57  · 
Rating details
 ·  23 ratings  ·  6 reviews


More filters
 | 
Sort order
Start your review of The Data Science Design Manual
Mkfs
May 19, 2018 rated it really liked it
A good introductory book to statistical analysis data mining data science. This is clearly aimed at students - the Coda at its conclusion exhorts the reader to now get a data science job (no thanks, got a real job already), and there is an expectation in the word-frequency discussion that the reader has never encountered the word defenestrate (ha! just last week I had to defenstrate an intruder!).

It's always good to get Skiena's take on things -- I've read three or four of his books now -- and t
...more
Paweł Kacprzak
Aug 19, 2018 rated it really liked it
Shelves: computer-science
Nice war stories and a great chapter about visualizations - this is what is hard to find in other books, and I guess it might be a new read for many computer scientists/programmers. I also appreciate many practical examples. A few other chapters are more or less standard and some of them, for instance, the one about distributed computing, feel like thrown there just to fill the content. Nevertheless, I recommend reading it.
high g individual
I did not expect to meet fiction style in a manual. Cost of resources spent on filtering the emotions of the author and the details of his personal life are not compatible with the value of the knowledge he has provided.
I want to be paid for this comment. Since my time is wasted.
Sebastian
Jan 19, 2019 rated it it was amazing
One of the best resources at the time to go into the matter of Data Science. Highly recommended, as any of the S. Skienna books (which he also recommends reading for a better understanding of some topics).
Wladston Filho
Aug 01, 2019 rated it it was amazing
Incredibly well written and complete book. It’s my go-to book to recommend to technical people wanting to dig deeper into data science.
Natu Lauchande
Jan 05, 2019 rated it it was amazing
Great reference book . Mostly from a CS perspective with lot's of intuition . Currently a reference book for all my ML/DS related projects.
Yuliya Astapova
rated it it was amazing
Feb 27, 2020
Peng Chen
rated it it was amazing
Jul 17, 2018
Nikita
rated it it was amazing
Aug 18, 2019
Stefan
rated it really liked it
Feb 01, 2018
Snejana
rated it it was amazing
Sep 02, 2017
Sanchit Agrawal
rated it liked it
May 04, 2020
Averresen
rated it it was amazing
Nov 12, 2018
Andrei Kotelnikov
rated it really liked it
Jan 24, 2019
Harold
rated it it was amazing
May 24, 2020
Saleh
rated it really liked it
Jul 07, 2019
Serhiy Dzyubin
rated it it was amazing
Jun 02, 2020
Blake Pengelly
rated it liked it
Jun 04, 2020
Josep-Angel Herrero Bajo
rated it really liked it
Oct 09, 2017
Juraj Cvecka
rated it it was amazing
Dec 25, 2019
Radu Serban
rated it it was amazing
Aug 16, 2019
Donn Liu
rated it it was amazing
May 02, 2019
Bobby
rated it it was amazing
Sep 21, 2017
Emily
rated it it was amazing
Feb 12, 2018
Laurent Senta
marked it as to-read
Aug 12, 2017
Andrew
marked it as to-read
Aug 20, 2017
Tim Finkel
marked it as to-read
Aug 27, 2017
Victor
marked it as to-read
Aug 29, 2017
James Maringa
marked it as to-read
Aug 31, 2017
Raja Raman
marked it as to-read
Sep 09, 2017
Richard
marked it as to-read
Oct 06, 2017
Bernard
marked it as to-read
Oct 26, 2017
Eternidad
marked it as to-read
Oct 28, 2017
Dferriola
marked it as to-read
Nov 05, 2017
Marek Suscak
marked it as to-read
Nov 20, 2017
Mauro
marked it as to-read
Dec 01, 2017
Róbert Móro
marked it as to-read
Dec 13, 2017
Michal Takáč
marked it as to-read
Dec 22, 2017
Majdi Yassin
marked it as to-read
Jan 09, 2018
J
marked it as to-read
Jan 20, 2018
Ziyad
marked it as to-read
Feb 05, 2018
Sultan
marked it as to-read
Feb 05, 2018
Sarah.ab
marked it as to-read
Feb 05, 2018
Sumaiahj
marked it as to-read
Feb 05, 2018
Douglas Sherk
marked it as to-read
Feb 08, 2018
Zhu Li
marked it as to-read
Feb 17, 2018
Jan Argasiński
marked it as to-read
Feb 19, 2018
C.B.
marked it as to-read
Feb 26, 2018
There are no discussion topics on this book yet. Be the first to start one »

Readers also enjoyed

  • Problem-Solving Strategies
  • Narcissus and Goldmund
  • Dress Your Family in Corduroy and Denim
  • Through the Open Door: To the Vastness of Your True Being
  • Oneness With All Life: Inspirational Selections from A New Earth
  • Essential Meditations with Eckhart Tolle: Guided Sessions and Practical Teachings
  • Practicing the Power of Now: Essential Teachings, Meditations, and Exercises from the Power of Now
  • The Little Book That Beats the Market
  • Software Engineering at Google: Lessons Learned from Programming Over Time
  • Python for Data Science For Dummies (For Dummies)
  • Practical Data Science Cookbook
  • The Field Guide to Data Science
  • The Data Science Handbook
  • Python for Data Science for Dummies
  • Getting Started with Data Science: Making Sense of Data with Analytics
  • Process Mining: Data Science in Action
  • Data Science for Business: What you need to know about data mining and data-analytic thinking
  • Foundations of Data Science
See similar books…

Goodreads is hiring!

If you like books and love to build cool products, we may be looking for you.
Learn more »

Related Articles

San Francisco is a gold rush town. There aren’t many books about people in their 20s who move to Silicon Valley with dreams of earning a living wag...
34 likes · 1 comments