Introduction to Statistics in R
Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data.
Foundations of Probability in R
In this course, you'll learn about the concepts of random variables, distributions, and conditioning.
Introduction to Regression in R
Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.
Intermediate Regression in R
Learn to perform linear and logistic regression with multiple explanatory variables.
Hypothesis Testing in R
Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.
Experimental Design in R
In this course you'll learn about basic experimental design, a crucial part of any data analysis.
Analyzing Survey Data in R
Learn survey design using common design structures followed by visualizing and analyzing survey results.
Hierarchical and Mixed Effects Models in R
In this course you will learn to fit hierarchical models with random effects.
Survival Analysis in R
Learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models!
Fundamentals of Bayesian Data Analysis in R
Learn what Bayesian data analysis is, how it works, and why it is a useful tool to have in your data science toolbox.
Factor Analysis in R
Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.
Foundations of Inference in R
Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.