About this Course

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Learner Career Outcomes

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started a new career after completing these courses

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got a tangible career benefit from this course
Shareable Certificate
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Flexible deadlines
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Intermediate Level
Approx. 18 hours to complete
English

Skills you will gain

Instrumental VariablePropensity Score MatchingCausal InferenceCausality

Learner Career Outcomes

50%

started a new career after completing these courses

23%

got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 18 hours to complete
English

Offered by

Placeholder

University of Pennsylvania

Syllabus - What you will learn from this course

Week
1

Week 1

4 hours to complete

Welcome and Introduction to Causal Effects

4 hours to complete
8 videos (Total 128 min)
8 videos
Confusion over causality19m
Potential outcomes and counterfactuals13m
Hypothetical interventions17m
Causal effects19m
Causal assumptions18m
Stratification23m
Incident user and active comparator designs14m
3 practice exercises
Practice Quiz30m
Practice Quiz30m
Causal effects30m
Week
2

Week 2

2 hours to complete

Confounding and Directed Acyclic Graphs (DAGs)

2 hours to complete
8 videos (Total 86 min)
8 videos
Causal graphs9m
Relationship between DAGs and probability distributions15m
Paths and associations7m
Conditional independence (d-separation)13m
Confounding revisited9m
Backdoor path criterion15m
Disjunctive cause criterion9m
2 practice exercises
Practice Quiz30m
Identify from DAGs sufficient sets of confounders30m
Week
3

Week 3

5 hours to complete

Matching and Propensity Scores

5 hours to complete
12 videos (Total 171 min)
12 videos
Overview of matching12m
Matching directly on confounders13m
Greedy (nearest-neighbor) matching17m
Optimal matching10m
Assessing balance11m
Analyzing data after matching20m
Sensitivity analysis10m
Data example in R16m
Propensity scores11m
Propensity score matching14m
Propensity score matching in R15m
5 practice exercises
Practice Quiz30m
Practice Quiz30m
Matching30m
Propensity score matching30m
Data analysis project - analyze data in R using propensity score matching30m
Week
4

Week 4

3 hours to complete

Inverse Probability of Treatment Weighting (IPTW)

3 hours to complete
9 videos (Total 119 min)
9 videos
More intuition for IPTW estimation9m
Marginal structural models11m
IPTW estimation11m
Assessing balance9m
Distribution of weights9m
Remedies for large weights13m
Doubly robust estimators15m
Data example in R26m
3 practice exercises
Practice Quiz30m
IPTW30m
Data analysis project - carry out an IPTW causal analysis30m

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