Data Science For Dummies
Pierson, Lillian
Sold by Giant Giant, Reston, VA, U.S.A.
AbeBooks Seller since December 6, 2022
Used - Soft cover
Condition: Used - Very good
Ships within U.S.A.
Quantity: 1 available
Add to basketSold by Giant Giant, Reston, VA, U.S.A.
AbeBooks Seller since December 6, 2022
Condition: Used - Very good
Quantity: 1 available
Add to basketVery Good condition.Crisp pages. Clean cover and pages. Book shows minimal shelf wear. No highlighting/marking. Not Satisfied? Contact us to get a refund.
Seller Inventory # BRG-31_8_388
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 covering 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 aspects of the topic, including the sometimes intimidating field of big data and data science, it is not an instructional manual for hands-on implementation. Here’s what to expect in Data Science for Dummies:
It’s a big, big data world out there – let Data Science For Dummies help you get started harnessing its power so you can gain a competitive edge for your organization.
Lillian Pierson, P.E. is an entrepreneurial data scientist and professional environmental engineer. She's the founder of Data-Mania, a start-up that focuses mainly on web analytics, data-driven growth services, data journalism, and data science training services. She also covers the topics of data science, analytics, and statistics for prominent organizations like IBM and UBM.
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