Causal ML

Learn the principles, techniques, and applications of causal inference in machine learning.

Week 1

Introduction to Causal Inference

This module covers the basics of causal inference, including the difference between correlation and causation, causal graphs, and the do-calculus.

Week 2

Causal Inference with Observational Data

This module covers the challenges of causal inference with observational data, such as selection bias and confounding. Students will learn how to use techniques such as propensity score matching and inverse probability weighting to estimate causal effects from observational data.

Week 3

Causal Inference with Experimental Data

This module covers the design and analysis of randomized experiments for causal inference. Students will learn how to use techniques such as randomized controlled trials and natural experiments to estimate causal effects.

Week 4

Applications of Causal Inference

This module covers the real-world applications of causal inference in different domains, such as healthcare, education, and policy. Students will learn how to apply causal inference techniques to solve practical problems and make informed decisions.

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A learning approach that aligns with your company values.

Self-guided

Bite-sized daily lessons that you can easily fit into your schedule. Each day, we release new lessons no longer than 15 minutes. Our lessons are carefully curated to ensure that they're both engaging and informative, allowing you to learn something new every day, and at your own pace.

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Collaborative

Collaborate with other engineers from around the world, providing you with a unique opportunity to learn from others and build your professional network.

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Engaging

Our live learning sessions are designed to be interactive and engaging, giving you the opportunity to ask questions and interact with subject-matter experts.

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Project-based

Learn by solving real-world problems. Our courses are designed to get rid of the fluff and provide you with the most relevant information to help you apply your learning.

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Frequently asked questions

Are all sessions live?

Yes, all sessions during the cohort will be live with the instructor. However, we will record each session and make them available for everyone in the cohort.

What is the time commitment?

Our courses typically have 2-4 modules, with each module lasting for approximately 2h per week which you can block out on your calendar during your work day. You also get some take home projects that you can complete at your own pace.

Do I earn a certificate for this course?

Of course! Once you’ve completed the course modules, you will get a certificate of completion that you can showcase to the world.

What is included in a LearnCrunch membership?

With your LearnCrunch yearly membership, you get access to our live instructor-led cohorts, our catalog of self-guided courses, unlimited real-world projects to learn from and master new skills, exclusive live events for members and a vetted global community of experts and peers.

How much does a LearnCrunch membership cost?

An individual LearnCrunch membership costs $1,000 USD per year. If your company is interested in purchasing multiple seats, please contact hello@learncrunch.com.

Can I expense this course?

Yes. Most LearnCrunch members have expensed this course through their Learning & Development budget, similar to how you expense conferences. You can use this email template to request expense approval from your manager.

I have more questions. Get in touch with us!

If you have more questions, email us at hello@learncrunch.com.

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Victor Chima

Co-Founder at LearnCrunch

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