Data science for dummies / Lillian Pierson ; foreword by Jake Porway.
Material type:
- text
- computer
- online resource
- 9781119327646 (e-book)
- 025.04 23
- ZA3075 .P547 2017
Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
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Enhanced descriptions from Syndetics:
Discover how data science can help you gain in-depth insight into your business - the easy way!
Jobs in data science abound, but few people have the data science skills needed to fill these increasingly important roles. Data Science For Dummies is the perfect starting point for IT professionals and students who want a quick primer on all areas of the expansive data science space. With a focus on business cases, the book explores topics in big data, data science, and data engineering, and how these three areas are combined to produce tremendous value. If you want to pick-up the skills you need to begin a new career or initiate a new project, reading this book will help you understand what technologies, programming languages, and mathematical methods on which to focus.
While this book serves as a wildly fantastic guide through the broad, sometimes intimidating field of big data and data science, it is not an instruction manual for hands-on implementation. Here's what to expect:
It's a big, big data world out there--let Data Science For Dummies help you harness its power and gain a competitive edge for your organization.
Includes index.
Description based on print version record.
Electronic reproduction. Ann Arbor, MI : ProQuest, 2016. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
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