Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this practical guide-now including examples in Python as well as R-explains how to apply various statistical methods to data science, tells you how to avoid their misuse, …
This fully updated second edition offers an advanced introduction to quantitative methods that focuses on why and how to conduct research that contributes to social justice. Includes Appendix & Index
This book presents a template for a research proposal and explains how to conceptualize and fill in every section. Interdisciplinary research examples draw on current events and social justice issues. Glossary : page 269-285. Bibliography : page 287-301. Index : page 303-321.