Causal Inference
Master causal inference techniques seen in product data science interviews with practical frameworks
$20 per month, billed yearly
Buy Now- 4,000+ Interview Questions
- 10+ Courses - DS, DE, MLE
- Detailed Solutions in Texts and Videos
- Created by Engineers at Meta and Google
- Lifetime Slack Community Access
About the Course
Go beyond A/B testing and delve into the essential frameworks of causal inference that are asked in experimentation interviews at product companies (e.g. Google, Uber, DoorDash). This course offers a deep dive into key methods such as Propensity Score Matching (PSM), Regression Discontinuity Design (RDD), Difference in Differences (DiD), and Synthetic Controls. These methods are crucial for measuring causal relationships in observational data.
Whether you're preparing for interviews at top tech companies or strengthening your data science fundamentals, this course will guide you through advanced frameworks used to evaluate causality and ace interviews
Explore the Course
$20 per month, billed yearly
Buy Now- 4,000+ Interview Questions
- 10+ Courses - DS, DE, MLE
- Detailed Solutions in Texts and Videos
- Created by Engineers at Meta and Google
- Lifetime Slack Community Access