This page provides quick links to lecture notes that I have written for various classes: CS254: A graduate class on computational complexity (Stanford) [Spring 2010 Class Home Page] [Notes for Lectures 1-8] CS278: A graduate class on computational complexity (Berkeley) [Spring 2001 Class Home Page] [Fall 2002 Class Home Page] [2001 Lecture Notes in book…
This book introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression and machine learning and helps you develop skills such as R programming, data wrangling with dplyr, data visualization with ggplot2, file organization with UNIX/Linux shell, version control with GitHub, and reproducible document preparation with R markdown.
An introductory-level textbook in statistics covering descriptive and inferential statistics. Each chapter has links to related texts, instructional demos, and free statistical analysis programs. Author is David M. Lane, Rice University departments of statistics, psychology, and management.