Game Data Science Using R

Game Data Science Using R

Intermediate

151 Lessons

45h

Certificate of Completion

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

283 Playgrounds
11 Quizzes

This course includes

283 Playgrounds
11 Quizzes

Course Overview

Game data science is emerging as a significant field of study due to the emergence of social games embedded in online social networks. The ubiquity of social games gives access to new data sources and impacts essential business decisions, given the introduction of freemium business models. Game data science covers collecting, storing, analyzing data, and communicating insights. This course will teach you game data extraction, processing, data abstraction, data analysis through visualization, data clusterin...Show More

What You'll Learn

Ability to use machine learning applications in game data science

Hands-on experience of the R programming language in real-world applications

Ability to build solid theoretical knowledge of game data science

Learn to collect, visualize, analyze, and transform game data

Learn about data clustering, supervised learning, neural networks, and sequence analysis

What You'll Learn

Ability to use machine learning applications in game data science

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Course Content

1.

Getting Started

15.

Appendix A: Game Used in the Book

1 Lesson

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Evan Dunbar

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Carlos Matias La Borde

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Vinay Krishnaiah

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Eric Downs

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Kenan Eyvazov

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Souvik Kundu

Front-end Developer

Eric Downs

Musician/Entrepeneur

Anthony Walker

@_webarchitect_

Evan Dunbar

ML Engineer

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