135 Online Short courses in Statistics

In this Intermediate Regression in R course offered by Data Camp you will learn to perform linear and logistic regression with multiple explanatory variables.

In this Mixture Models in R course offered by Data Camp you will learn mixture models: a convenient and formal statistical framework for probabilistic clustering and classification.

In this Error and Uncertainty in Google Sheets course offered by Data Camp you will learn to distinguish real differences from random noise, and explore psychological crutches we use that interfere with our rational decision making.

University College London (UCL)'s ANOVA - General Linear Models (GLMs) with SPSS online short course on analysis of variance (ANOVA) takes a hands-on approach to learning.

Build Your Statistical Skills for Data Science. Master the Statistics Necessary for Data Science with this Statistical Modeling for Data Science Applications course offered by Coursera in partnership with University of Colorado Boulder.

Learn to design, analyse and interpret findings from health research with this Applied Statistics course at the University of Aberdeen.

EdX is an online learning platform trusted by over 12 million users offering the Lean Six Sigma Yellow Belt - Quantitative Tools for Quality and Productivity Professional Certificate in collaboration with Technical University of Munich - TUMx. 

Critically Analyze Research and Results Using R. Learn to recognize sloppy science, perform solid research and do appropriate data analysis with this Methods and Statistics in Social Sciences Specialization offered by Coursera in partnership with University of Amsterdam.

In this Bayesian Data Analysis in Python course offered by Data Camp you will learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases

In this Summary Statistics in Public Health course offered by Coursera in partnership with Johns Hopkins University, we'll focus on the use of statistical measurement methods within the world of public health research. 

This Inferential Statistics course offered by Coursera in partnership with Duke University covers commonly used statistical inference methods for numerical and categorical data. 

Statistics at Warnborough College is a 100 hour course such as this provides the most essential knowledge and skills required by consultants and researchers in a wide variety of disciplines. 

In this Bayesian Regression Modeling with rstanarm course offered by Data Camp you will learn how to leverage Bayesian estimation methods to make better inferences about linear regression models.

In this Generalized Linear Models in R course offered by Data Camp you will expand your regression toolbox to include logistic and Poisson regression.

In this Inference for Categorical Data in R course offered by Data Camp you will learn how to leverage statistical techniques for working with categorical data.

In this Experimental Design in Python course offered by Data Camp you will implement experimental design setups and perform robust statistical analyses to make precise and valid conclusions!

In this Sampling in Python course offered by Data Camp you will learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.

In this Experimental Design in R course offered by Data Camp you will learn about basic experimental design, a crucial part of any data analysis.

This Linear Regression for Business Statistics Course offered by Coursera in partnership with Rice University introduces you to the very important tool known as Linear Regression. 

This Reproducible Research course offered by Coursera in partnership Johns Hopkins University focuses on the concepts and tools behind reporting modern data analyses in a reproducible manner.