109 Short courses in Statistics in United States

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.

Advanced Stats for Data Science Mastery. Master knowledge and skills to communicate model choices and interpretations effectively with this Statistical Learning for Data Science course offered by Coursera in partnership with University of Colorado Boulder.

This Introduction to Statistics and Data Analysis in Public Health course offered by Coursera in partnership with Imperial College London will sharpen your ability to think critically and not take things for granted: in this age of uncontrolled algorithms and fake news, these skills are more important than ever.

Throughout the Intro to Statistics course from Udacity you'll get ready to analyze, visualize, and interpret data.

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.

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.

The Differential Equations course of Boston University is offered by the College of Art & Sciences.

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. 

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!

The Statistics programme is offered by Boston University.

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.