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University of Dundee - Data Science in the Games Industry 

  • Offered byFutureLearn

Data Science in the Games Industry
 at 
FutureLearn 
Overview

Duration

4 weeks

Total fee

2,763

Mode of learning

Online

Official Website

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Credential

Certificate

Data Science in the Games Industry
 at 
FutureLearn 
Highlights

  • Duration 4 weeks
  • Weekly study 3 hours
  • 100% online Learn at your own pace
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Data Science in the Games Industry
 at 
FutureLearn 
Course details

More about this course
  • 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.

Data Science in the Games Industry
 at 
FutureLearn 
Curriculum

Data in all its glory

Welcome to Data Science and the Games Industry

The data exhaust

Tabular vs Big Data

Relational Databases

Disappearances in the CAP triangle

Breaking the CAP triangle

NoSQL

Cassandra

MongoDb

Graphs and Graph databases

Dark Data's Hiding Place

Taming the Data Exhaust

Big data and distributed systems

Hadoop, HDFS, MapReduce, and other technologies

Real-time systems

Lambda

Analysis is our answer

Statistics

Consumer testing

R and Python

Bayesian Statistics

Machine learning and data mining

The Future

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Data Science in the Games Industry
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