Multivariate data analysis (MDA) is a standard course taught at graduate level in various departments, notably mathematics and statistics, but also epidemiology, social sciences, e...
The intended audience is leaders at financial institutions who want to build data science practices, analysts at financial institutions who want to work on data science teams, stud...
This indispensible volume introduces second language scholars to the basics of statistical analysis using the powerful and free computer program R. Assuming no prior knowledge of s...
Text mining is a relatively new area that has seen a recent explosion in interest. It uses techniques from statistics, data mining and computer science and there is a need for a bo...
From the very basics to linear models, this book provides a complete introduction to statistics, data analysis, and R for bioinformatics research and applications. It covers ANOVA,...
Bridging the gap between introductory theory and practical knowledge, this second edition reflects the fast-moving field of DNA microarrays by adding new and updated chapters that ...
This book provides a guide to working efficiently with larger-than-memory datasets using the arrow R package. You'll learn how to overcome these hurdles without needing to set up c...
This book provides a guide to working efficiently with larger-than-memory datasets using the arrow R package. You'll learn how to overcome these hurdles without needing to set up c...
The second edition of Mastering Data Science with R and SAS: From Foundations to Advanced Statistical Modeling offers an expanded and updated roadmap for mastering modern data anal...
