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Data Science Decisions in Time: Using Causal Information
Master causal modeling techniques for data science decision-making, from A/B testing to personalized medicine. Perfect for intermediate analysts.
Course Cost
Free course
Intermediate
Skill Level
26 Hours
Self-paced lessons
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Data Science Decisions in Time Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
English
What you'll learn
Develop and implement causal decision frameworks
Master A/B testing through a causal lens
Apply causal random forests for decision optimization
Analyze multiple cause scenarios
Design individual treatment effect studies
Optimize business decisions using causal models
Skills you'll gain
This course includes:
2.5 Hours PreRecorded video
10 quizzes, 6 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Get a Completion Certificate
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Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
PROVIDED BY
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 6 modules in this course
This comprehensive course explores advanced causal modeling techniques for data-driven decision making. Students learn to develop and analyze causal relationships in various contexts, from business decisions to healthcare applications. The curriculum covers sequential causal decisions, causal random forests, multiple causes analysis, and individual treatment effects. Through practical examples in supermarket pricing, restaurant location optimization, and personalized medicine, students gain hands-on experience in applying causal inference methods to real-world problems.
Sequential Causal Decisions
Module 1 · 4 Hours to complete
Is that a Causal Decision or a Causal Effect?
Module 2 · 4 Hours to complete
Causal Random Forests
Module 3 · 4 Hours to complete
Blessings of Multiple Causes
Module 4 · 4 Hours to complete
Individual Treatment Effects and Personalized Medicine
Module 5 · 4 Hours to complete
Untitled Module
Module 6 · 6 Hours to complete
Fee Structure
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
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Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.