2-Day Training in Causal ML with DoubleML (Hamburg, in-person, 10am CEST)

Please note: The training will be confirmed once a minimum of 5 participants have signed up.

Join our training to start your learning journey in Causal Machine Learning! Our courses start with the basics of Causality and Causal ML and introduce participants to more advanced topics.

About the Course

We offer an intensive two-day training on Causal Machine Learning with DoubleML open for data scientists at all technical levels. On Day 1, we will start with the basics of Causal Machine Learning and get to know the fundamentals of Double Machine Learning. On Day 2, we cover more advanced topics of Causal Machine Learning, including more elaborate causal models, quasi-experimental approaches like Difference-in-Differences, and Sensitivity Analysis. This training focuses on the Python package DoubleML, preliminary knowledge of Python is highly recommended.

Each day provides:

• An Introduction to the theoretical basis of Causal/Double Machine Learning
• Hands-on sessions (in Python) based on real-data use cases
• Dedicated Q&A sessions

Topics Covered

We will cover the following topics:

Day 1: Basics of Causiality and Causal Machine Learning

• Introduction to Causality/Causal Machine Learning
• Basics of Double Machine Learning
• Heterogeneous Treatment Effects
• Workflow and Hands-on Examples

Day 2: Advanced Topics

• Overview: Causal Models and Extensions
• Industry Use-Case Session
• Sensitivity Analysis, Diff-in-Diff
• Hands-on Examples and Outlook

About the Organizers

Our trainings are taught by members of the DoubleML developer team and organized by Economic AI. EconomicAI is a start-up founded by a group of leading researchers in the field of causal machine learning. The company offers solutions and software implementations for industry use cases by integrating and developing state-of-the-art researches methods of causal inference. Together with the developers of the DoubleML it offers trainings and workshops on causal machine learning.

DoubleML is an open-source software for Python and R offering tools for causal machine learning. The package implements the double/debiased machine learning approach by Chernozhukov et al. (2018). For more information about DoubleML visit the package website.

More about this Course

For more information, visit our website trainings.doubleml.org

Refund Policy

Participation can be cancelled up to 30 days before the course. Eventbrite fees are not refundable.

What Participants Say

“This training is one of the most comprehensive ones I have attended. I would recommend it to everyone who is interested in knowing more about DoubleML.”

“The course has been very enlightening covering both basic and advanced concepts within Causal Analysis with some practical applications, and with very approachable and helpful teachers.”

“This course saved me hours of trying to understand DoubleML by myself online.”

“TheDoubleMLtraining by Economic AI was incredibly insightful and practical. Highly recommended for anyone looking to deepen theirunderstanding of modern causal methods."

“Great program, great presenters and lab partners. Lots of fun and learning”