Primer for Data Analytics and Graduate Study in Statistics

By: Douglas Wolfe, Grant Schneider

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Hardcover | 27 September 2020

At a Glance

Hardcover
244 Pages

Dimensions(cm)
23.5 x 15.88 x 1.91

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$139.00

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This book is specially designed to refresh and elevate the level of understanding of the foundational background in probability and distributional theory required to be successful in a graduate-level statistics program. Advanced undergraduate students and introductory graduate students from a variety of quantitative backgrounds will benefit from the transitional bridge that this volume offers, from a more generalized study of undergraduate mathematics and statistics to the career-focused, applied education at the graduate level. In particular, it focuses on growing fields that will be of potential interest to future M.S. and Ph.D. students, as well as advanced undergraduates heading directly into the workplace: data analytics, statistics and biostatistics, and related areas.

Industry Reviews

"This text looks to bridge the gap between a general undergraduate education in a mathematically oriented field and a career-oriented graduate study in Statistics. In my opinion, the authors achieve this goal. ... this text is a quality candidate for a primary book for an undergraduate course in Probability theory or a graduate course that introduces the basics of Statistical theory." (Grant Innerst, MAA Reviews, July 18, 2021)

"The text provides the necessary framework for an undergraduate course for anyone who is interested in either exploring job opportunities in the data analytics field or in attending a graduate program in statistics or biostatistics." (B¼lent Karas¶zen, zbMATH 1454.62004, 2021)

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