Data Science in the Games Industry (FutureLearn)

Data Science in the Games Industry (FutureLearn)
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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.
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Data Science in the Games Industry (FutureLearn)
Learn how the games industry can use big data to enhance the gaming experience and increase profits. 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.

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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.



What topics will you cover?


Week 1: Data in all its glory

- The Data Exhaust

- Tabular vs Big Data

- Disappearances in the CAP Triangle


Week 2: Breaking the CAP Triangle

- NoSQL

- Cassandra

- MongoDb

- Graphs and Graph Databases

- Dark Data’s Hiding Place


Week 3: Taming the Data Exhaust

- Big Data and Distributed Systems

- Hadoop, HDFS, MapReduce and Other Technologies

- Real-time Systems

- Lambda


Week 4: Analysis is our answer

- Introduction to Statistics

- Consumer Testing

- Introduction to R and Python

- Bayesian Statistics

- Machine learning and data mining

- The Future of Data Science



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MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Course Auditing
64.00 EUR
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.

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.