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Daniel T. Larose

Data Science Using Python and R

Ebook (PDF Format)

Learn data science by doing data science! Data Science Using Python and R will get you plugged into the world's two most widespread open-source platforms for data science: Python and R. Data science is hot. Bloomberg called data scientist the hottest job in America. Python and R are the top two open-source data science tools in the world. In Data Science Using Python and R, you will learn step-by-step how to produce hands-on solutions to real-world business problems, using state-of-the-art techniques. Data Science Using Python and R is written for the general reader with no previous analytics or programming experience. An entire chapter is de… Mehr

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Produktdetails


Weitere Autoren: Larose, Chantal D.
  • ISBN: 978-1-119-52683-4
  • EAN: 9781119526834
  • Produktnummer: 30607299
  • Verlag: Wiley
  • Sprache: Englisch
  • Erscheinungsjahr: 2019
  • Seitenangabe: 256 S.
  • Plattform: PDF
  • Masse: 7'700 KB

Über den Autor


CHANTAL D. LAROSE, PHD, is an Assistant Professor of Statistics & Data Science at Eastern Connecticut State University (ECSU). She has co-authored three books on data science and predictive analytics and helped develop data science programs at ECSU and SUNY New Paltz. Her PhD dissertation, Model-Based Clustering of Incomplete Data, tackles the persistent problem of trying to do data science with incomplete data. DANIEL T. LAROSE, PHD, is a Professor of Data Science and Statistics and Director of the Data Science programs at Central Connecticut State University. He has published many books on data science, data mining, predictive analytics, and statistics. His consulting clients include The Economist magazine, Forbes Magazine, the CIT Group, and Microsoft.

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