• Starting October 30th, 2023
All course material is available free and open source via our Github Repository .
Sign-up today to ensure access to this workshop.
Insightful, well-explained and hands-on workshop that taught me a lot. Dr Frandsen was super helpful and explained concepts clearly. It was a great mix of interactive, practical exercises and theoretical explanations!
Outstanding selection of content and case studies. Excellent instructor. You will come out of this workshop with a very decent overview of Machine Learning methods and their applications in causal inference.
Yes! Students, postdocs, predocs and residents of middle-income countries can attend for $50 plus a few dollars in fees. Non-tenure track faculty can attend for $95. To receive your promo code, please include a photo of your student ID. International folks from low-income countries can attend for $1. To receive promo codes, email us at firstname.lastname@example.org.
The course material will be availabe forever on Github. We will also send you links to the video recordings on Vimeo after the workshop is completed.
That's a great question. Causal inference, and econometrics more generally, is largely a “returns to experience” type of skill as much as it is a returns to education. The best way for you to learn anything in these classes is to work on projects that require it. Our class is designed as a fast track to both.
Yes, I will distribute assignments with readings with directions the night before. We will help each other in Discord, asking questions, pointing out mistakes I'm making, and helping one another problem solve. I will usually assign more than we can do that faster workers always have something to work on. And in the end, I will distribute the solutions. It'll be fun I promise!
We will upload recordings to Vimeo and they will be password protected, so that only attendees can watch the videos.
Don't be. I'm a good teacher. If I can learn this, so can you.