9781119566250-1119566258-Data Science Strategy For Dummies

Data Science Strategy For Dummies

ISBN-13: 9781119566250
ISBN-10: 1119566258
Edition: 1
Author: Ulrika Jägare
Publication date: 2019
Publisher: For Dummies
Format: Paperback 352 pages
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Book details

ISBN-13: 9781119566250
ISBN-10: 1119566258
Edition: 1
Author: Ulrika Jägare
Publication date: 2019
Publisher: For Dummies
Format: Paperback 352 pages

Summary

Data Science Strategy For Dummies (ISBN-13: 9781119566250 and ISBN-10: 1119566258), written by authors Ulrika Jägare, was published by For Dummies in 2019. With an overall rating of 4.3 stars, it's a notable title among other AI & Machine Learning (Databases & Big Data, Computer Science) books. You can easily purchase or rent Data Science Strategy For Dummies (Paperback) from BooksRun, along with many other new and used AI & Machine Learning books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.57.

Description

All the answers to your data science questions

Over half of all businesses are using data science to generate insights and value from big data. How are they doing it? Data Science Strategy For Dummies answers all your questions about how to build a data science capability from scratch, starting with the “what” and the “why” of data science and covering what it takes to lead and nurture a top-notch team of data scientists.

With this book, you’ll learn how to incorporate data science as a strategic function into any business, large or small. Find solutions to your real-life challenges as you uncover the stories and value hidden within data.

  • Learn exactly what data science is and why it’s important
  • Adopt a data-driven mindset as the foundation to success
  • Understand the processes and common roadblocks behind data science
  • Keep your data science program focused on generating business value
  • Nurture a top-quality data science team

In non-technical language, Data Science Strategy For Dummies outlines new perspectives and strategies to effectively lead analytics and data science functions to create real value.

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