The Little Book of Data
eBook - ePub

The Little Book of Data

Understanding the Powerful Analytics that Fuel AI, Make or Break Careers, and Could Just End Up Saving the World

  1. 304 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

The Little Book of Data

Understanding the Powerful Analytics that Fuel AI, Make or Break Careers, and Could Just End Up Saving the World

About this book

Data is not about number crunching. It’s about ideas. And when used properly (read: ethically), it is the problem solver of our time.

Yet many savvy people seem to be in data denial: they don’t think they need to understand data, or it’s too complicated, or worse, using it is somehow unethical. Yet as data and AI (just an accelerated way to put data to work) move to the center of professional and civic life, every professional and citizen needs to harness this power.

In The Little Book of Data, each chapter illustrates one of the core principles of solving problems with data by featuring an expert who has solved a big problem with data—from the entrepreneur creating a “loneliness score” to the epidemiologist trying to save lives by finding disease “hotspots.”

The stories are told in a fast-moving, vivid, sometimes comic style, and cover a wide frame of reference from adtech to climate tech, the bubonic plague, tiny submarines, genomics, railroads, bond ratings, and meat grading. (That’s right. Meat.)

Along the way Evans injects lessons from his own career journey and offers practical thought-starters for readers to apply to their own organizations.

By reading The Little Book of Data, you will achieve the fluency to apply your data superpowers to your own mission and challenges—and you will have fun along the way.

You will be, in other words, a data person.

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Yes, you can access The Little Book of Data by Justin Evans in PDF and/or ePUB format, as well as other popular books in Business & Decision Making. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Contents
  5. Introduction
  6. Part One: How We Got Here
  7. Part Two: Good and Bad Data People
  8. Part Three: Superpowers
  9. Part Four: How We Use Data
  10. Part Five: Conclusion
  11. Index
  12. About the Author