, 10 tweets, 4 min read
My new course "Causal Data Science with Directed Acyclic Graphs" has finally been published at @udemy. And I'm super excited to share it with you! udemy.com/course/causal-… #CausalAI #Causality #MachineLearning #DataScience #Econometrics #DAG #MOOC
In the past, I've already given similar workshops on causal inference. And people often asked me afterwards for recommendations of good online teaching resources. Unfortunately, there's really not that much out there. So, I decided to do something about it.
Please have a look and let me know what you think! For me personally, this is my first experience with MOOC education. I'm pretty happy with the result. But decide for yourself (there's a free intro video on the course landing page, btw).
Here's the course outline. I cover most of the important topics within the causal AI literature. From the basic stuff, like DAGs, d-separation, back- and frontdoor adjustment, to more recent developments around, causal discovery, selection bias and transportability.
In every section, I discuss practical coding examples next to the theory. So you can directly see how the techniques are applied in action. In total, there are 5 hours of video tutorials, plus many downloadable course materials (slides, reference lits, and code examples).
I've decided to host the course at @udemy, because they offer a great platform for online education, in my view, that makes it super simple for instructors to create and promote their own content, with little barriers to entry.
A downside of it though is that Udemy asks for quite a substantial cut of the overall costs in return for their services. A share 50% of the total subscription fees you see displayed on the page is taken by them. Of course this also drives up the price. But...
If you click on the referral link above (also here: udemy.com/course/causal-…) you get a special discount which lets you enroll to the course within 24 hours (after clicking) for half the price. The proceeds then go directly to the creator and Udemy takes a much smaller cut.
So yeah, I'm pretty excited about this and I hope the course will reach as many people interested in causal data science as possible. Causality is becoming a big topic in AI and with this course you'll definitely get a good overview of the latest developments in the field.
If you want to help me to spread the word, I'd also be happy about every retweet and like here on Twitter. Ultimately, my goal is to diffuse knowledge about causal AI techniques as widely a possible. And hopefully the course can be a small step in that direction. Merci, Paul
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