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Essential Causal Inference Techniques for Data Science
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Essential Causal Inference Techniques for Data Science

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Learn, practice, and apply job-ready skills with expert guidance
4.5

(35 reviews)

Beginner level
No prior experience required
2 hours
Learn at your own pace
Hands-on learning
Learn, practice, and apply job-ready skills with expert guidance
4.5

(35 reviews)

Beginner level
No prior experience required
2 hours
Learn at your own pace
Hands-on learning

What you'll learn

  • Learn the limitations of AB testing and why causal inference techniques can be powerful.

  • Understand the intuition behind and how to implement the four main causal inference techniques in R.

  • Explore newer methods at the intersection of causal inference and machine learning and implement them in R.

Details to know

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Taught in English
No downloads or installation required

Only available on desktop

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About this Guided Project

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Use Controlled / Fixed Effects Regression to estimate impact of customer satisfaction on customer revenue.

  2. Use Regression Discontinuity to estimate the impact of customer support on renewal probability.

  3. Use Difference in Difference to estimate the impact of raising prices on revenue.

  4. Use Instrumental Variables to see whether using the mobile app leads to increased customer retention.

  5. Use Double Selection to speed up AB tests and get more precise estimates.

  6. Use Causal Forests to find heterogeneous treatment effects separated by registration source for impact of discounts.

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Instructor

Vinod Bakthavachalam
Coursera Project Network
1 Course2,666 learners

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How you'll learn

  • Skill-based, hands-on learning

    Practice new skills by completing job-related tasks.

  • Expert guidance

    Follow along with pre-recorded videos from experts using a unique side-by-side interface.

  • No downloads or installation required

    Access the tools and resources you need in a pre-configured cloud workspace.

  • Available only on desktop

    This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.

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4.5

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KG
5

Reviewed on Jan 30, 2021

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