Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
The course of inferring causal effects from the observational data offered by the platform of Coursera is free of cost course. The enrolled candidate can get a certificate for this course after paying a fixed amount according to the guidelines of the Coursera platform. The duration for this course is 5 weeks. This course is taught under the guidance of experts from the University of Pennsylvania. The E-certificate is available after the completion of this course.
The enrolled candidates will be provided with all the quizzes, assignments, video lectures, web links for books and references. As this course is free of cost and online, it is easily accessible for all the sections of society. Financial aid is also provided. The course of inferring causal effects from the observational data is highly recommended for all the students, teachers and researchers who are interested in this field. Financial aid is also available for all learners who cannot afford the fee. Total 33 percent of people started a new career after completing this course and 29 percent of them got career benefits after pursuing this course.
The Highlights
- 100 percent online course
- Free of cost course
- E- certificate available by Coursera
- Financial aid available
- Easily shareable e-certificate to various platforms
- Flexible deadlines
- Intermediate level of learning
- The course is taught in English
- Instructor for the course is Jason A.Roy from the University of Pennsylvania
Programme Offerings
- Online study
- Books
- references
- video lectures
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 2435 | yes | Coursera |
The course offered here by Coursera is free of cost.
Head | Amount (in Rs.) |
Programme Fee | Nil |
Certificate fee | Rs. 2,435/- |
Eligibility Criteria
Certification qualifying details
The course of inferring causal effects from observational data offered by the platform of coursera is absolutely free of cost course. The enrolled will get a certificate after paying Rs 1000 as a registration fee for the examination procedure. Financial aid is available for the students who cannot afford the fee which makes this course unique and beneficial.
What you will learn
After successful completion of the course of inferring causal effects from observational data candidate will gain important insights on-
- Express assumptions with causal graphs
- Implement several types of causal inference methods [eg- matching, instrumental variables, inverse probability of treatment weighting]
- Identify which causal assumptions are necessary for each type of statistical method
- Describe the difference between associations and causation
- Define causal effects using potential outcomes
Who it is for
This programme is highly recommended if you are interested in the fields of data and statistics.
- This programme is beneficial for the following-
- Aspirants who want to start or restart their careers in this field.
- Students, creator, researchers, professionals who want to gain knowledge of the field.
- Professionals who want to increase their development through their promotions, salary increase.
Admission Details
Candidates who are willing to be a part of this programme must follow the steps that are given below:
Step 1: Visit the Coursera website.
Step 2: Click on the URL https://www.coursera.org/learn/crash-course-in-causality
Step 3: Click on the course you want to enrol yourself into.
Step 4: Fill in your adequate details.
Step 5: After successfully filling the details you can avail the lectures.
The Syllabus
Videos
- Welcome to "A Crash Course in Causality"
- Confusion over causality
- Potential outcomes and counterfactuals
- Hypothetical interventions
- Causal effects
- Causal assumptions
- Stratification
- Incident user and active comparator designs
Practice Exercises
- Practice Quiz
- Practice Quiz
- Causal effects
Videos
- Confounding
- Causal graphs
- Relationship between DAGs and probability distributions
- Paths and associations
- Conditional independence (d-separation)
- Confounding revisited
- Backdoor path criterion
- Disjunctive cause criterion
Practice Exercises
- Practice Quiz
- Identify from DAGs sufficient sets of confounders
Videos
- Observational studies
- Overview of matching
- Matching directly on confounders
- Greedy (nearest-neighbor) matching
- Optimal matching
- Assessing balance
- Analyzing data after matching
- Sensitivity analysis
- Data example in R
- Propensity scores
- Propensity score matching
- Propensity score matching in R
Practice Exercises
- Practice Quiz
- Practice Quiz
- Matching
- Propensity score matching
- Data analysis project - analyze data in R using propensity score matching
Videos
- Intuition for Inverse Probability of Treatment Weighting (IPTW)
- More intuition for IPTW estimation
- Marginal structural models
- IPTW estimation
- Assessing balance
- Distribution of weights
- Remedies for large weights
- Doubly robust estimators
- Data example in R
Practice Exercises
- Practice Quiz
- IPTW
- Data analysis project - carry out an IPTW causal analysis
Videos
- Introduction to instrumental variables
- Randomized trials with noncompliance
- Compliance classes
- Assumptions
- Causal effect identification and estimation
- IVs in observational studies
- Two stage least squares
- Weak instruments
- IV analysis in R
Practice Exercises
- Practice Quiz
- Practice Quiz
- Instrumental variables / Causal effects in randomized trials with non-compliance
Evaluation process
This course is free of cost, however, enrolled candidates can achieve certification for this course after paying a registration fee of Rs 1000 for the examination procedures. Financial aid is available for students who cannot afford the fee.
Instructors
Penn Frequently Asked Questions (FAQ's)
Coursera is providing this course free of cost and the enrolled candidate can achieve certification for this course after paying Rs 1000 for the examination procedure.
Online payment is accepted.
33 percent of candidates have started a new career after starting this course and 29 percent got career benefits from this course.
This course is absolutely free of cost but for the certification, the candidate has to pay.
Financial aid is available for students who cannot afford the fee.
Deadlines are flexible for this course from the Coursera platform.
Timings for this course are generally flexible.
E-certificates provided after the successful completion of the course are easily shareable to other platforms.
Only e-certificates will be provided.
Instructors will give a clear understanding of the topics and any doubt if arises will be cleared.