Learn about datasets in R, study types, sampling strategies, and experimental design.

Associate Professor at Duke University

Learn how to describe relationships between two numerical quantities and characterize these relationships graphically.

Assistant Professor at Smith College

Learn the core techniques necessary to extract meaningful insights from time series data.

Assistant Professor at Cornell University

This course was designed to get you up to speed with the most important and powerful methodologies in statistics.

DeWitt Wallace Professor of Mathematics, Statistics, and Computer Science at Macalester College

After all of the hard work of acquiring data and getting them into a form you can work with, you ultimately want to make clear,...

Justin Bois is a lecturer in the Division of Biology and Biological Engineering at the California...

In this course, you will become an expert in fitting ARIMA models to time series data using R. First, you will explore the nat...

David Stoffer is a Professor of Statistics at the University of Pittsburgh. He is member of the e...

Learn how to use graphical and numerical techniques to uncover the structure of your data and find variables that suggest inter...

Assistant Professor of Statistics at Reed College

Learn about the practice of drawing conclusions about a larger population from a sample of data: a process known as statistical...

Professor at Pomona College

After completing Statistical Thinking in Python (Part 1), you have the probabilistic mindset and foundational hacker stats skil...

In this follow-up course, you will expand your stat modeling skills from part 1 and dive into more advanced concepts.