Why Game Data Science?
Learn why we’re diving into game data science.
We'll cover the following
This course has been designed to give readers an introduction to the practical side of game data science. Let’s delve a bit deeper into what game data science means. Game data science is a term that we use to denote a process composed of methods and techniques by which an analyst or a data scientist can make sense of data to allow decision makers in a game company to make informed decisions.
The purpose of this course is to convey to readers the concept of data science and its usage in games. Almost every reader has some idea of analysis, but very few are aware of its usage in games.
Intended audience
Welcome to this course on game data science. Throughout this course, we’ll be exploring data science applications in games.
If you’re a beginner who wants to learn about game data science and want to learn how data science impacts games, you’re in the right place.
Prerequisites
To take full advantage of this course, you need to be familiar with the basics of R language.
That’s it! Anyone with knowledge of R language can easily follow along with this course.