Designing with Data, 2nd Ed (O'Reilly)
Designing with Data, 2nd Ed (O'Reilly)
Thursday, 13 April 2017

Design practices and data science work toward the same goal, helping designers and product managers understand users so they can craft elegant digital experiences. In this practical guide, authors Rochelle King, Elizabeth F Churchill, and Caitlin Tan show you how to conduct data-driven A/B testing for making design decisions on everything from small tweaks to large-scale UX concepts.

<ASIN:1449334830>

Complete with real-world examples, this book shows you how to make data-driven design part of your product design workflow.

Author: Rochelle King, Elizabeth F Churchill, and Caitlin Tan
Publisher: O'Reilly
Date: April 2017
Pages: 370
ISBN: 978-1449334833
Print: 1449334830
Kindle: B06XY9TTN8
Audience: Data developers
Level: intermediate
Category: Data Science

 

 

  • Understand the relationship between data, business, and design
  • Get a firm grounding in data, data types, and components of A/B testing
  • Use an experimentation framework to define opportunities, formulate hypotheses, and test different options
  • Create hypotheses that connect to key metrics and business goals
  • Design proposed solutions for hypotheses that are most promising
  • Interpret the results of an A/B test and determine your next move

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Author: Richard Cotton
Publisher: O'Reilly
Pages:400
ISBN: 978-1449357108
Print: 1449357105
Kindle: B00F2ZO8Z6
Audience: Statisticians; novice programmers with a stats background
Rating: 4
Reviewer: Mike James

Books on R often cover both programming and statistics. This one is on [ ... ]



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Author: Michael Fogus
Publisher: O'Reilly
Pages: 260
ISBN: 978-1449360726
Audience: Advanced JavaScript developers
Rating: 3
Reviewer: Ian Elliot

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