Online courses and in-company training in causal inference.
Causal inference is taught as a complete analysis workflow, from the design stage all the way to the estimation stage.
Methods are discussed in terms of what is ideal, what is feasible, and the trade-offs involved.
Content is structured step by step, supported by coding demonstrations, examples, and exercises.
Online courses
Self-paced courses covering causal inference from foundational concepts to applied analysis.
In-company training
Online and on-site in-company trainings focused on building practical causal inference skills within data teams.
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The core reason data science and analytics are used in business and research is to support decisions. Decision-making is fundamentally causal. It is about understanding the effects that different actions have on outcomes, and selecting the course of action that leads to the most desirable result. Whenever we ask questions such as “Were our past decisions effective?”, “What should we do next?”, or “Which customers or products should we target?”, we are asking causal questions. Answering these questions requires causal inference.
Most techniques data professionals are trained in focus on detecting correlations. While useful for passive prediction and description, they are not designed to estimate the impact of actions or interventions. Causal inference provides the framework needed when the goal is to use data for decision support.
There is a knowledge gap in the data industry when it comes to causal inference. Educational programmes tend to focus primarily on correlation-based modelling approaches. In addition, causal inference material is often dense, fragmented and difficult to navigate independently.
As a result, many data professionals lack structured training in causal analysis, even though causal inference is fundamental to using data to support decisions in business and research.
Causal Academy was created to help address this gap through structured online courses, in-company trainings, and educational content in causal inference. It is an initiative by CausAI, founded by Jamilla Cooiman, which has been focused on causal inference education since early 2024.
To date, more than 50 hours of online course material and applied trainings have together reached over 1,500 learners worldwide, including within top-tier organizations. Educational content shared on LinkedIn reaches an audience of more than 8,000 followers.