Statistical inference for data science : A companion to the Coursera Statistical Inference Course
This book gives a brief, but rigorous, treatment of statistical inference intended for practicing Data Scientists.
Tag(s): Data Science Statistics
Publication date: 24 May 2016
ISBN-10: n/a
ISBN-13: n/a
Paperback: 124 pages
Views: 8,727
Type: Book
Publisher: Leanpub
License: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
Post time: 24 Oct 2016 09:00:00
Statistical inference for data science : A companion to the Coursera Statistical Inference Course
Brian Caffo wrote:This book is written as a companion book to the Statistical Inference¹ Coursera class as part of the Data Science Specialization². However, if you do not take the class, the book mostly stands on its own. A useful component of the book is a series of YouTube videos that comprise the Coursera class.
The book is intended to be a low cost introduction to the important field of statistical inference. The intended audience are students who are numerically and computationally literate, who would like to put those skills to use in Data Science or Statistics. The book is offered for free as a series of markdown documents on github and in more convenient forms (epub, mobi) on LeanPub and retail outlets.
This book is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License³, which requires author attribution for derivative works, non-commercial use of derivative works and that changes are shared in the same way as the original work.
About The Author(s)
Brian Caffo, PhD, is a professor at the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health at Johns Hopkins University.
Brian Caffo, PhD, is a professor at the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health at Johns Hopkins University.