Causal Inference Courses and Certifications

A look at using Instrumental Variables and Regression Discontinuity to estimate causal effects

• DataCamp
• On-Demand
• Free Trial Available

Welcome to the 3rd course in our series on causal inference concepts and methods created by Duke University with support from eBay, Inc.

• DataCamp
• On-Demand
• Free Trial Available

Welcome to the Causal Inference with R – Experiments, the 2nd of 7 courses on causal inference concepts and methods created by Duke University with support from eBay, Inc.

• DataCamp
• On-Demand
• Free Trial Available

Alan Turing Institute

Counterfactual Prediction in Transport Modelling - Ricardo Silva & Charisma Choudhury

1 review

Explore counterfactual prediction in transport modeling, enhancing decision-making capabilities through causal inference and machine learning for 'what if' scenarios and fairness considerations.

• YouTube
• 24 minutes
• On-Demand
• Free Video

Machine Learning and AI Foundations: Causal Inference and Modeling

136 ratings at LinkedIn Learning

Learn about the modeling techniques and experimental designs that allow you to establish causal inference, and how to use them.

• LinkedIn Learning
• 2 hours 51 minutes
• On-Demand
• Free Trial Available

Learn conceptual foundations and practical techniques for determining causal relationships in data. Master matching, weighting, instrumental variables, and difference-in-differences methods to uncover why things happen.

• Codecademy
• 4 hours
• On-Demand
• Free Trial Available

Learn to estimate unmeasurable outcomes using the Potential Outcomes Framework for causal inference. Develop counterfactual thinking and a formal language to determine why things happen.

• Codecademy
• 1 hour
• On-Demand
• Free Trial Available

Learn techniques for balancing data, estimating treatment effects, and maximizing sparse datasets in causal analysis. Master matching, weighting, propensity scores, and stratification to prepare data and estimate unobserved outcomes.

• Codecademy
• 2 hours
• On-Demand
• Free Trial Available

Estimate causal effects by analyzing trends over time. Learn to implement Difference in Differences technique, mimic experiments, and solve real-world problems using existing data.

• Codecademy
• 1 hour
• On-Demand
• Free Trial Available

Learn techniques to measure treatment effects using incomplete data, including Regression Discontinuity Design and Instrumental Variables for causal inference in real-world analytics projects.

• Codecademy
• 2 hours
• On-Demand
• Free Trial Available

Simons Institute

Kernel Methods for Causal Inference

Explore kernel ridge regression for causal inference, covering dose responses, treatment effects, and extensions to various settings. Learn about consistency, efficiency, and robustness in estimation.

• YouTube
• 30 minutes
• On-Demand
• Free Video

Institute for Advanced Study

Learning Representations Using Causal Invariance - Leon Bottou

Explore causal invariance in machine learning representations, focusing on stable properties, extrapolation, and robust supervised learning techniques for improved model performance and generalization.

• YouTube
• 33 minutes
• On-Demand
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Hidden Variables in Linear Non-Gaussian Causal Models

Explore hidden variables in linear non-Gaussian causal models, using high-order cumulant information to uncover causal structures in data science applications with multiple observed variables.

• YouTube
• 32 minutes
• On-Demand
• Free Video

International Mathematical Union

Bernhard Schölkopf- From Statistical to Causal Learning

Explore the evolution of AI systems, from symbolic to statistical and causal approaches, examining key challenges in machine learning and the role of causality in advancing AI understanding and modeling.

• YouTube
• 48 minutes
• On-Demand
• Free Video

Data Science Dojo

Causal Behavioral Modeling Framework - Discrete Choice Modeling of Consumer Demand

Explore causal behavioral modeling and discrete choice models for consumer demand. Learn about heterogeneity, market simulation, and applications in marketing science, with insights on neural network representations.

• YouTube
• 51 minutes
• On-Demand
• Free Video