Description
| Product ID: | 9783030474782 |
| Product Form: | Hardback |
| Country of Manufacture: | CH |
| Title: | Primer for Data Analytics and Graduate Study in Statistics |
| Authors: | Author: Douglas Wolfe, Grant Schneider |
| Page Count: | 233 |
| Subjects: | Information theory, Information theory, Business mathematics and systems, Probability and statistics, Stochastics, Algorithms and data structures, Business mathematics & systems, Probability & statistics, Stochastics, Algorithms & data structures |
| Description: | Select Guide Rating 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. 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. |
| Imprint Name: | Springer Nature Switzerland AG |
| Publisher Name: | Springer Nature Switzerland AG |
| Country of Publication: | GB |
| Publishing Date: | 2020-09-27 |
