Causal Data Science with Directed Acyclic Graphs

Online Course

Udemy

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Prerequisites & Facts
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What is the course about?

Causal Data Science with Directed Acyclic Graphs

The course Causal Data Science with Directed Acyclic Graphs is an online class provided by Udemy. It may be possible to receive a verified certification or use the course to prepare for a degree.

Get to know the modern tools for causal inference from machine learning and AI, with many practical examples in R

Course description

Causal Data Science with Directed Acyclic Graphs

Causal inference in data science and machine learning
How to work with directed acylic graphs (DAG)
Newest developments in causal AI

Basic knowledge of probability and statistcs
Basic programming skills would be an advantage

5 hours on-demand video
12 downloadable resources
Full lifetime access
Access on mobile and TV
Certificate of Completion
Paul Hünermund

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Prerequisites & Facts

Causal Data Science with Directed Acyclic Graphs

Course Topic

Data Science, Development

University, College, Institution

Udemy

Course Skill Level

see course summary

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

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Degree & Cost

Causal Data Science with Directed Acyclic Graphs

To obtain a verified certificate from Udemy you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.

Udemy

Causal Data Science with Directed Acyclic Graphs

provided by Udemy

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