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Everyday Data Science: Optimize Your Life

by Andrew N Carr (Author)
3.7 3.7 out of 5 stars 19 ratings
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Everyday data science is a collection of tools and techniques you can use to master data science in your day-to-day life. There are case studies, tutorials, code snippets, pictures, math, and jokes. All designed as a fun introduction to the world of data science. Some example chapters include, A/B testing to make perfect lemonade, word vectors to improve your resume, differential equations for weight loss, and how a man used statistics to qualify for the Olympics. Life is full of decisions. We, as people, have the remarkable ability to make decisions in the face of uncertainty. We, as humans, have only recently developed the ability to use computers to process vast amounts of data to improve our decision making. This innovation has led to the development of the field of Data Science. This book is written to give tools and inspiration to aspiring decision makers. You make decisions daily and the methodology of data science can help.
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  1. ISBN-13
    979-8598407165
  2. Publication date
    January 25, 2021
  3. Language
    English
  4. Dimensions
    6 x 0.27 x 9 inches
  5. Print length
    114 pages
  6. See all details
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Product details

  • ASIN ‏ : ‎ B08TZ1MT3W
  • Publisher ‏ : ‎ Independently published (January 25, 2021)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 114 pages
  • ISBN-13 ‏ : ‎ 979-8598407165
  • Item Weight ‏ : ‎ 6.4 ounces
  • Dimensions ‏ : ‎ 6 x 0.27 x 9 inches
  • Customer Reviews:
    3.7 3.7 out of 5 stars 19 ratings

Customer reviews

3.7 out of 5 stars
19 global ratings

Top reviews from the United States

PH
5.0 out of 5 stars Perfect for Data Science Younglings
Reviewed in the United States on February 19, 2021
Verified Purchase
Had fantastic examples of how you can apply data science to problems you might encounter. As someone who loves to "tinker", this book provides a great launching point for trying out data science in your own life in a reasonable and very useful way.

Would recommend 10/10
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G. A Wheeler
3.0 out of 5 stars Decent content but its more like a small collection of blog posts
Reviewed in the United States on March 17, 2021
Verified Purchase
This book is a little over a hundred pages, and laid out with double spacing, so you're really only getting about 50 pages of content. There are 7 case studies so about real 7 pages each, on average, or a typical long-form blog post. In each case, although there may be some math, the discussion is pretty superficial. If you already have a data science background or experience, like me, you'll probably regret purchasing this; you're not getting much for your money. But if you don't know anything about data science and would like to learn more about it, this is a fun introduction.
One person found this helpful
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Taylor Sorensen
5.0 out of 5 stars Like Freakonomics, but Data Science
Reviewed in the United States on February 26, 2021
This book is really fun! Lots of interesting case studies, got my brain running on personal data projects I could play around with.
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Sangwhan Moon
1.0 out of 5 stars Needs editing and coherence
Reviewed in the United States on May 24, 2021
Verified Purchase
This shouldn't be offered in printed media. There is a serious lack of any editing, to a point certain chapters are a SINGLE WORD. Here is an example:

1.5 When is data science?
Everyday

The book isn't expensive, but it isn't even worth the small amount you pay. With some editing I think it could be better though.
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