Game Data Science Using R
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Learn to apply data science techniques in game development using R, focusing on data analysis and player behavior insights.
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 clustering, supervised learning, neural networks, and advanced sequence analysis using a case study and many examples in the R programming language.
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