Data Science Career Tracks: What's the Right Path for You?

Free Live Webinar on May 31 - Register Now



Learn the Basics of Causal Inference with R

Description

You hear it all the time: “correlation is not causation.” By taking this course, you’ll find out what causation really is. Find out why things happen using causal methods, such as matching and weighting, instrumental variables, and difference in differences.

In this course, you will learn the conceptual foundations for determining causal inference and how to work with data to understand why things happen. In addition to the basic foundations, you will learn how to isolate variables and apply different techniques to deal with unruly datasets and interpret the results of your analysis.Read more.

This resource is offered by an affiliate partner. If you pay for training, we may earn a commission to support this site.

Career Relevance by Data Role

The techniques and tools covered in Learn the Basics of Causal Inference with R are most similar to the requirements found in Data Scientist job advertisements.


Similarity Scores (Out of 100)