Digital library
Textbooks, references and open learning resources.
External
Matlab and Octave Programming for STEM Applications (Smith)
Cary Smith · Oxnard College
In the contents: 09: MATLAB Random Number and Statistics Functions · 9.02: MATLAB Statistics Functions
External
Python Programming
OpenStax · LibreTexts
Introduction to Python Programming provides a comprehensive foundation in programming concepts and skills, and it is aligned to the scope of most introductory courses. A wide array of scenarios, contexts, and problems reflect programming applications in many disciplines and careers. The offering is suitable for a diverse learner audience, including those pursuing computer science, business, science, social science, statistics, data science, and related areas of study and employment.
External
Introduction to Social Network Methods
Robert Hanneman & Mark Riddle · University of California, Riverside
In the contents: 1.05: A note on Statistics and Social Network Data
External
Statistical Analysis of Data for Engineers
Joshua Steimel · Cal Poly Humbolt
In the contents: Chapter 01: Importance of Statistics and Experimental Measurements
External
Intro to Programming with Programming Fundamentals and Python for Everyone
LibreTexts
In the contents: 19.09: Math Statistics with Arrays
External
Principles of Data Science
OpenStax · LibreTexts
In the contents: 03: Descriptive Statistics- Statistical Measurements and Probability Distributions · 04: Inferential Statistics and Regression Analysis
External
The Crystal Ball - Instruction Manual I: Introduction to Data Science
Stephen Davies · University of Mary Washington
In the contents: 15.03: Numerical Data- Other Summary Statistics
External
DSCI 500B Essential Probability Theory for Data Science (Kuter)
Kristin Kuter · Saint Mary's College
LibreTexts
External
Data and the Modern World
Alan Polansky · Northern Illinois University
In the contents: 15: Ethics in Data Science and Statistics