Data Science in the Games Industry

Online Course

Future Learn
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Data Science in the Games Industry
  1. What is the course about?
  2. Prerequisites & Facts
  3. Cost, Certificate & Degree
  4. Reviews & Experiences

What is the course about?

Data Science in the Games Industry
The course Data Science in the Games Industry is an online class provided by University of Dundee through Future Learn. It may be possible to receive a verified certification or use the course to prepare for a degree.

Learn how the games industry can use big data to enhance the gaming experience and increase profits.

Course description
  • Use data analysis to build better gaming experiences
  • 4 weeks
  • 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.
  • The Data Exhaust
  • Tabular vs Big Data
  • Disappearances in the CAP Triangle
  • NoSQL
  • Cassandra
  • MongoDb
  • Graphs and Graph Databases
  • Dark Data’s Hiding Place
  • Big Data and Distributed Systems
  • Hadoop, HDFS, MapReduce and Other Technologies
  • Real-time Systems
  • Lambda
  • Introduction to Statistics
  • Consumer Testing
  • Introduction to R and Python
  • Bayesian Statistics
  • Machine learning and data mining
  • The Future of Data Science
  • Assess new techniques of data analysis
  • Synthesise knowledge to be able to describe the types of data that techniques can best be applied to
  • Design data stores that can manage data at scale
  • Classify data in context, to select the most appropriate technique for data analysis
  • Compare and evaluate new techniques for data analysis for a number of given scenarios in the games industry
  • Design data stores that can manage complex data at scale for a number of given scenarios in the games industry
  • 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.
  • University of Dundee
  • The University of Dundee is one of the world’s Top 200 universities and was named Scottish University of the Year for both 2016 and 2017. Dundee offers one of the UK’s best student experiences.
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Prerequisites & Facts

Data Science in the Games Industry

Course Topic

Personal Success, Teacher Training, Teaching & Academics

University, College, Institution

University of Dundee

Course Skill Level

see course summary

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

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Degree & Cost

Data Science in the Games Industry

To obtain a verified certificate from Future Learn / University of Dundee you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
University of Dundee
Data Science in the Games Industry
provided by Future Learn
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Here you can find information, reviews and user experiences for the course “Data Science in the Games Industry“. The provider of the course – “University of Dundee” – will be glad to answer any questions you may have about the class, click here to use the offical support channels. It would be great if you could share your experience of participating in the course – Your honest review will surely help others to choose the right class!
School: University of Dundee
Topic: Coding & Programming, Data Science, Game Development, IT & Computer Science, Science, Engineering & Maths

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