To support our site, Class Central may be compensated by some course providers.

Data Science in the Games Industry

University of Dundee via FutureLearn

students interested

Taken this course? Share your experience with other students. Write review

Overview

Use data analysis to build better gaming experiences

The video games industry collects vast amounts of data from its users. But most of this data is disregarded despite its value to the gaming industry.

This course will show you how to store and analyse data effectively and gain insights into game users’ actions and behaviours.

You’ll find out about the different models of data, such as tabular data, atomic data, and relational data.

You’ll understand how to store non-relational data at scale, and why data can be hard to distribute.

You’ll learn how to build better gaming experiences and increase profits.

This course is aimed at those who already work in the games industry, but may also be of interest to those looking to work in the sector.

In order to get the best out of this course you should have a laptop or desktop computer (Windows or Mac) that can run virtual machine software such as VirtualBox or Docker. You should be happy to install software on your machine such as Python or R Studio. Links and instructions for installation and use will be included during the course.

Taught by

Andy Cobley

Help Center

Most commonly asked questions about FutureLearn FutureLearn

Reviews for FutureLearn's Data Science in the Games Industry
Based on 0 reviews

  • 5 star 0%
  • 4 star 0%
  • 3 star 0%
  • 2 star 0%
  • 1 star 0%

Did you take this course? Share your experience with other students.

Write a review

Class Central

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free

Never stop learning Never Stop Learning!

Get personalized course recommendations, track subjects and courses with reminders, and more.