The Art of Data-Driven Business

The Art of Data-Driven Business Decisions

eBook Details:

  • Paperback: 314 pages
  • Publisher: WOW! eBook (December 2, 2022)
  • Language: English
  • ISBN-10: 1804611034
  • ISBN-13: 978-1804611036

eBook Description:

The Art of Data-Driven Business: Learn how to make the right decisions for your business with the help of Python recipes and the expertise of data leaders

One of the most valuable contributions of data science is toward helping businesses make the right decisions. Understanding this complicated confluence of two disparate worlds, as well as a fiercely competitive market, calls for all the guidance you can get.

The Art of Data-Driven Business is your invaluable guide to gaining a business-driven perspective, as well as leveraging the power of machine learning (ML) to guide decision-making in your business. This book provides a common ground of discussion for several profiles within a company.

You’ll begin by looking at how to use Python and its many libraries for machine learning. Experienced data scientists may want to skip this short introduction, but you’ll soon get to the meat of the book and explore the many and varied ways ML with Python can be applied to the domain of business decisions through real-world business problems that you can tackle by yourself. As you advance, you’ll gain practical insights into the value that ML can provide to your business, as well as the technical ability to apply a wide variety of tried-and-tested ML methods.

  • Create effective dashboards with the seaborn library
  • Predict whether a customer will cancel their subscription to a service
  • Analyze key pricing metrics with pandas
  • Recommend the right products to your customers
  • Determine the costs and benefits of promotions
  • Segment your customers using clustering algorithms

By the end of this The Art of Data-Driven Business Decisions Python book, you’ll have learned the value of basing your business decisions on data-driven methodologies and have developed the Python skills needed to apply what you’ve learned in the real world.

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