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Data Science Decisions in Time: Information Theory & Games
Master game theory and information theory applications in data science through real-world examples like SFPark and cybersecurity.
Course Cost
Free course
Intermediate
Skill Level
23 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
Apply game theory to real-world decision making scenarios
Design strategies for cooperative and non-cooperative games
Implement cybersecurity analysis using game theory principles
Optimize resource allocation through strategic planning
Develop robust adversarial training methods
Skills you'll gain
This course includes:
2.7 Hours PreRecorded video
5 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
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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 the intersection of game theory and information theory in data science applications. Starting with real-world examples like SFPark, students learn about dynamic game environments, cooperative and non-cooperative games, and strategic decision-making. The curriculum covers advanced topics including cybersecurity game theory, adversarial training, and min-max optimization, preparing learners to apply these concepts in practical scenarios.
Dynamically Changing Environments and Game Theory
Module 1 · 4 Hours to complete
Cooperative Games: How to Make Decisions with Missing and Ambiguous Information
Module 2 · 4 Hours to complete
Predicting and Understanding Your Game Opponents
Module 3 · 4 Hours to complete
Sequential Social Environments: Optimal Play
Module 4 · 4 Hours to complete
Seeing Relevant Information - Avoiding Distribution Shifts and Being Relevant
Module 5 · 4 Hours to complete
Untitled Module
Module 6 · 3 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
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