Primer for Data Analytics and Graduate Study in Statistics (Hardcover, 1st ed. 2020)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Release date:	September 2020
First published:	2020
Authors:	Douglas Wolfe • Grant Schneider
Dimensions:	235 x 155 x 21mm (L x W x T)
Format:	Hardcover
Pages:	233
Edition:	1st ed. 2020
ISBN-13:	978-3-03-047478-2
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Reference & Interdisciplinary > Communication studies > Information theory > General Books > Business & Economics > Business & management > Business mathematics & systems > General Books > Science & Mathematics > Mathematics > Applied mathematics > Stochastics
LSN:	3-03-047478-X
Barcode:	9783030474782

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