105 Short courses in Statistics in United States

In this Nonlinear Modeling with Generalized Additive Models (GAMs) in R course offered by Data Camp you will learn about GAMs model relationships in data as nonlinear functions that are highly adaptable to different types of data science problems.

In this Statistics Fundamentals in R course offered by Data Camp you will discover the power of statistics in R. Learn the key statistical concepts, topics, and techniques used by data scientists and statisticians every day.

In this Marketing Analytics in R course offered by Data Camp you will grow the R skills you need to work with social media data, perform market basket analysis, and use machine learning to guide your marketing decisions.

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

This Introduction to Data Analysis Using Excel course offered by Coursera in partnership with Rice University is designed keeping in mind two kinds of learners -  those who have very little functional knowledge of Excel sand those who use Excel regularly but at a peripheral level and wish to enhance their skills. 

This Business Statistics and Analysis Capstone course offered by Coursera in partnership with Rice University is an opportunity to apply various skills developed across the four courses in the specialization to a real life data. 

In this Generalized Linear Models in Python course offered by Data Camp you will extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.

In this Introduction to Statistics course offered by Data Camp you will learn the fundamentals of statistics, including measures of center and spread, probability distributions, and hypothesis testing with no coding involved!

This SAS Statistical Business Analyst courses offered by Coursera in partnership with SAS is for those who want to enhance their predictive and statistical modeling skills to drive data-informed business outcomes.  

In this Analyzing Survey Data in R course offered by Data Camp you will learn survey design using common design structures followed by visualizing and analyzing survey results.

If you are simply interested in properly understanding the published literature or if you are embarking on conducting your own research, this Understanding Clinical Research - Behind the Statistics course offered by Coursera in partnership with University of Cape Town is your first step.

The Quantitative Methods course is offered by Coursera in partnership with University of Amsterdam is part of the Methods and Statistics in Social Sciences Specialization.

The Inferential Statistics course is offered by Coursera in partnership with University of Amsterdam is part of the Methods and Statistics in Social Sciences Specialization.

In this Introduction to Statistics in Google Sheets course offered by Data Camp you will learn how to leverage statistical techniques using spreadsheets to more effectively work with and extract insights from your data.

In this Practicing Statistics Interview Questions in Python course offered by Data Camp you will prepare for your next statistics interview by reviewing concepts like conditional probabilities, A/B testing, the bias-variance tradeoff, and more.

In this Multivariate Probability Distributions in R course offered by Data Camp you will learn to analyze, plot, and model multivariate data.

In this Introduction to Predictive Analytics in Python course offered by Data Camp you will learn to use and present logistic regression models for making predictions.

In this Introduction to Anomaly Detection in R course offered by Data Camp you will learn statistical tests for identifying outliers and how to use sophisticated anomaly scoring algorithms.

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.