4.2 Read 93 reviews
Overview
Inferences about causation are of great importance in science, medicine, policy, and business.
Key Features
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.
You will study advanced topics in causal inference, including mediation, principal stratification, longitudinal causal inference, regression discontinuity, interference, and fixed effects models.
Programme Structure
Courses include:
- Mediation and Conditioning on Intermediate Outcomes
- Reframing the Problem of Mediation
- Identification of Controlled, Average Direct and Indirect Effects
- Instrumental Variables and the Complier Average Causal Effect
- Longitudinal Causal Inference
- Interference and Fixed Effects
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
- Self-paced
Campus Location
- Mountain View, United States
Disciplines
Econometrics View 3 other Short Courses in Econometrics in United StatesWhat students do after studying
Join for free or log in to access our complete career info list.
Academic 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
- Designed for those already in the industry
- This course is aimed at advanced learners and graduate‑level students who want to develop a rigorous understanding of causal inference methods for analyzing cause‑and‑effect relationships in fields such as science, medicine, policy, and business.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
-
Domestic
Applies to youIn-StateFree
Additional Details
- This short course is included with Coursera Plus subscription
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.
Improve page content