135 Online Short courses in Statistics

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.

In this Introduction to Regression with statsmodels in Python course offered by Data Camp you will predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis with statsmodels in Python.

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. 

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 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 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 Case Studies - Network Analysis in R course offered by Data Camp you will apply fundamental concepts in network analysis to large real-world datasets in 4 different case studies

In this Statistician in R course offered by Data Camp you will learn how to collect and analyze data and help companies make sense of quantitative data, including spotting trends and making predictions.

A machine learning scientist researches new approaches and builds machine learning models with this Machine Learning Scientist in R course offered by Data Camp.

In this Differential Expression Analysis with limma in R course offered by Data Camp you will learn to use the Bioconductor package limma for differential gene expression analysis.

In this Time Series in R course offered by Data Camp you will learn how to extract meaningful insights from time series data in R. Explore how to model, forecast, and visualize time series data.

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.

UCL's Stata - an Introduction practical online workshop will introduce you to the statistical software Stata and how to use it to carry out statistical analysis.

This Statistics Course for Non-Statisticians course offered by University of Sydney enables you to acquire skills in understanding statistical terminology and interpreting data.

Join this Statistics and Probability for Safety, Reliability and Quality course at the University of Aberdeen and attain vital professional knowledge, skills and a career advantage as a graduate or practising engineer.

The Statistics course from  Udacity is based on real-world scenarios and challenges, allowing you to apply the skills you learn to practical situations, while giving you real hands-on experience.

The Statistical Methods for Meta-Analysis of Individual Participant Data (SMIPD) (Online) programme from the University of Birmingham provides a detailed foundation of the methods and principles for meta-analysis when IPD (Individual Participant Data) are available from multiple related studies.

EdX is an online learning platform trusted by over 12 million users offering the Probability and Statistics in Data Science using Python Program in collaboration with University of California, San Diego - UC San DiegoX. Using Python, learn statistical and probabilistic approaches to understand and gain insights from data.

Today, more than ever, statistics is part of our lives. The Introducing Statistics programme offered by The Open University UK will help you learn how to use basic statistical tools and quantitative methods that are useful in business, government, industry, medicine, the economy, and most academic subjects.