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Introduction to Data Science

Introduction to Data Science a Python approach to concepts, Techniques and. Applications, Igual, L;Seghi', S. Springer, ISBN:978-3-319-50016-4.



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Interpret multiple techniques for solving Data science applications .(L4). TEXT BOOKS: 1. Steven S. Skiena, ?The Data Science Design Manual?, Springer 2017.
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Steven S. Skiena. Department of Computer Science. State University of New York at Stony Brook. New York, USA skiena@cs.sunysb.edu. ISBN: 978-1-84800-069-8.
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PICK UP THE DATA SCIENCE DESIGN MANUAL Ideal for: Data scientists familiar with R and Python Major topics: applying statistics, random sampling, regression ...
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The primary text that will be used for the course is: Skiena, Steven S. The Data Science Design Manual. 1st ed. 2017. Springer International. Publishing, 2017.
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