Overview
Key Features
Inferences about causation are of great importance in science, medicine, policy, and business.
This Causal Inference 2 course offered by Coursera in partnership with Columbia University provides an introduction to the statistical literature on causal inference that has emerged in the last 35-40 years and that has revolutionized the way in which statisticians and applied researchers in many disciplines use data to make inferences about causal relationships.
We will study advanced topics in causal inference, including mediation, principal stratification, longitudinal causal inference, regression discontinuity, interference, and fixed effects models.
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Visit programme websiteProgramme Structure
Courses include:
- Mediation
- More on Mediation
- Instrumental Variables, Principal Stratification, and Regression Discontinuity
- Longitudinal Causal Inference
- Interference and Fixed Effects
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 1 months
Start dates & application deadlines
Language
Delivered
- Self-paced
Disciplines
Information Technology (IT) Computer Sciences View 301 other Short Courses in Information Technology (IT) in United StatesExplore more key information
Visit programme websiteAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Advanced Level
Make sure you meet all requirements
Visit programme websiteTuition Fee
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 months. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 months.
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Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You’ll be prompted to complete an application and will be notified if you are approved.