Download the fantastic book titled Foundations of Statistics for Data Scientists written by Alan Agresti, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Foundations of Statistics for Data Scientists", which was released on 22 November 2021. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Business & Economics genre.
Summary of Foundations of Statistics for Data Scientists by Alan Agresti PDF
Foundations of Statistics for Data Scientists: With R and Python is designed as a textbook for a one- or two-term introduction to mathematical statistics for students training to become data scientists. It is an in-depth presentation of the topics in statistical science with which any data scientist should be familiar, including probability distributions, descriptive and inferential statistical methods, and linear modeling. The book assumes knowledge of basic calculus, so the presentation can focus on "why it works" as well as "how to do it." Compared to traditional "mathematical statistics" textbooks, however, the book has less emphasis on probability theory and more emphasis on using software to implement statistical methods and to conduct simulations to illustrate key concepts. All statistical analyses in the book use R software, with an appendix showing the same analyses with Python. The book also introduces modern topics that do not normally appear in mathematical statistics texts but are highly relevant for data scientists, such as Bayesian inference, generalized linear models for non-normal responses (e.g., logistic regression and Poisson loglinear models), and regularized model fitting. The nearly 500 exercises are grouped into "Data Analysis and Applications" and "Methods and Concepts." Appendices introduce R and Python and contain solutions for odd-numbered exercises. The book's website has expanded R, Python, and Matlab appendices and all data sets from the examples and exercises.
Detail About Foundations of Statistics for Data Scientists PDF
- Author : Alan Agresti
- Publisher : CRC Press
- Genre : Business & Economics
- Total Pages : 486 pages
- ISBN : 1000462919
- Release Date : 22 November 2021
- PDF File Size : 30,6 Mb
- Language : English
- Rating : 1/5 from 1 reviews
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