Organizations can harness the power of causal inference through randomized field experiments, uncovering the true effects of interventions and enabling data-driven decision-making. In this course, we will delve into how companies are currently utilizing A/B testing. Additionally, we will explore the ethical considerations of conducting experiments and the econometric methods for analyzing causal relationships in observational data.
Causal Inference Project Ideation
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Causal Inference Project Ideation
This course is part of Analytics Project Ideation Specialization
Instructor: Soumya Sen
Included with 
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
11 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
January 2025
Assessments
8 assignments
Taught in English
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This course is part of the Analytics Project Ideation Specialization
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There are 5 modules in this course
What's included
1 video
This module provides an overview of causal inference, starting with an introduction and lessons from real world examples. It then explores how companies use online A/B testing for personalization, key tenets and ethical considerations of controlled experiments, and concludes with methods for working with observational data, including the difference-in-difference method.
What's included
8 videos2 assignments
This module covers the setup of Randomized Field Trials (RFTs), including hypothesis development, evaluation criteria, parameters, and treatment and control groups. It also addresses the importance of randomization, the selection of randomization units, and best practices for designing robust experiments.
What's included
8 videos2 assignments
This module focuses on high-level needs identification, including understanding user journey maps, identifying business needs, and prioritizing them using PICK charts. It also covers SCQ analysis for referral bonuses in online word-of-mouth (WOM) and breaks down problems into subproblems, identifying common themes, and constructing an issue tree.
What's included
10 videos2 assignments
This module covers results mapping by designing field experiments that align with the key questions that the business is interested in. It also delves into experiment design, focusing on hypothesis development and identifying control and treatment groups. The module concludes with a final project plan review.
What's included
6 videos2 assignments
Instructor
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University of Minnesota
University of Minnesota
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