Statistics Foundations

This book provides a practical introduction to exploratory data analysis using Python. It covers topics such as distributions, probability, and hypothesis testing. The book is very hands-on and includes many case studies.

An open and free course from Carnegie Mellon University that introduces causal and statistical reasoning for critical thinking.

This course teaches the fundamentals of statistical thinking using Python. You will learn to perform exploratory data analysis, think probabilistically, and understand the core concepts of statistical inference.

This cheat sheet from Dummies.com provides a quick overview of the key concepts in statistics. It covers topics such as descriptive statistics, probability, and inference. The cheat sheet is a great resource for a quick review or to refresh your memory.

This course from the University of Edinburgh introduces the fundamental concepts of statistics. You will learn about data collection, analysis, and interpretation. The course covers topics such as descriptive statistics, probability, and inference.

This course from the University of Leeds provides an introduction to statistical thinking and data analysis using the R programming language. You will learn about data visualization, summary statistics, and hypothesis testing.

Khan Academy offers a comprehensive set of free online lessons on statistics and probability. The topics range from basic descriptive statistics to more advanced concepts like hypothesis testing and regression. The platform's interactive exercises and quizzes are excellent for reinforcing learning.

This is the first in a series of courses on statistics foundations from Linked In Learning. This course covers the basics of descriptive statistics, including measures of central tendency and variability. The course is designed for beginners.