Data Smart: Using Data Science to Transform Information into Insight, Edition 2

· John Wiley & Sons
Ebook
448
Pages
Ratings and reviews aren’t verified  Learn More

About this ebook

Want to jump into data science but don't know where to start?

Let's be real, data science is presented as something mystical and unattainable without the most powerful software, hardware, and data expertise. Real data science isn't about technology. It's about how you approach the problem.

In this updated edition of Data Smart: Using Data Science to Transform Information into Insight, award-winning data scientist and bestselling author Jordan Goldmeier shows you how to implement data science problems using Excel while exposing how things work behind the scenes.

Data Smart is your field guide to building statistics, machine learning, and powerful artificial intelligence concepts right inside your spreadsheet.

Inside you'll find:

  • Four-color data visualizations that highlight and illustrate the concepts discussed in the book
  • Tutorials explaining complicated data science using just Microsoft Excel
  • How to take what you've learned and apply it to everyday problems at work and life
  • Advice for using formulas, Power Query, and some of Excel's latest features to solve tough data problems
  • Smart data science solutions for common business challenges
  • Explanations of what algorithms do, how they work, and what you can tweak to take your Excel skills to the next level

Data Smart is a must-read for students, analysts, and managers ready to become data science savvy and share their findings with the world.

About the author

JORDAN GOLDMEIER is an award-winning author in analytics, data science, and data visualization, and 11-time Microsoft MVP winner. Jordan has served analytics solutions for global organizations like NATO, The World Bank and Habitat for Humanity, and Fortune 500 companies likes Principal Financial and H&M. He has taught as an instructor for Wake Forest University, and served as a volunteer Emergency Medical Technician in New York City.

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