105 Short courses in Statistics in United States

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.

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.

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.

This Python and Statistics for Financial Analysis offered by Coursera in partnership with The Hong Kong University of Science and Technology combines both python coding and statistical concepts and applies into analyzing financial data, such as stock data.

This Statistical Thermodynamics Specialization offered by Coursera in partnership with  University of Colorado Boulder was developed for the mechanical or aerospace engineering advanced undergraduate graduate or graduate student who already has a strong background in undergraduate engineering thermodynamics and is ready to tackle the underlying fundamentals of the subject.

This Business Applications of Hypothesis Testing and Confidence Interval Estimation course offered by Coursera in partnership with Rice University is the third course in the specialization "Business Statistics and Analysis" and the course advances your knowledge about Business Statistics by introducing you to Confidence Intervals and Hypothesis Testing. 

In this Case Studies in Statistical Thinking course offered by Data Camp you will take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.

In this Foundations of Probability in R course offered by Data Camp you will learn about the concepts of random variables, distributions, and conditioning.

In this Bayesian Modeling with RJAGS course offered by Data Camp you will learn how to implement more advanced Bayesian models using RJAGS.

This Bayesian Statistics course offered by Coursera in partnership with Duke University describes Bayesian statistics, in which one's inferences about parameters or hypotheses are updated as evidence accumulates.