, 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
Missing some Tweet in this thread? You can try to force a refresh.

Enjoying this thread?

Keep Current with Paul Hünermund

Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

Twitter may remove this content at anytime, convert it as a PDF, save and print for later use!

Try unrolling a thread yourself!

how to unroll video

1) Follow Thread Reader App on Twitter so you can easily mention us!

2) Go to a Twitter thread (series of Tweets by the same owner) and mention us with a keyword "unroll" @threadreaderapp unroll

You can practice here first or read more on our help page!

Follow Us on Twitter!

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just three indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3.00/month or $30.00/year) and get exclusive features!

Become Premium

Too expensive? Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal Become our Patreon

Thank you for your support!