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

Assistant Professor at Cornell University

Learn the language of data, 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

Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.

Professor of Statistics at the University of Pittsburgh

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

Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.

Assistant Professor of Statistics at Reed College

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

Professor at Pomona College

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

Learn how to access financial data from local files as well as from internet sources.

Senior Quantitative Analyst and member of R/Finance Conference committee

Learn about how dates work in R, and explore the world of if statements, loops, and functions. You'll practice this knowledge u...

Data Scientist at DataCamp

Learn how to pull character strings apart, put them back together and use the stringr package.

Assistant Professor at Oregon State University