Data Science in the Games Industry Certificate

Short course

In Dundee

Price on request

Description

  • Type

    Short course

  • Level

    Intermediate

  • Location

    Dundee (Scotland)

  • Duration

    3 Weeks

  • Start date

    Different dates available

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.
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

Facilities

Location

Start date

Dundee (Dundee City)
See map
Fulton Building, DD1 4HN

Start date

Different dates availableEnrolment now open

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Reviews

This centre's achievements

2019

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 14 years

Subjects

  • Data analysis
  • Design
  • Industry
  • Data Exhaust
  • Tabular
  • Big Data
  • CAP Triangle
  • Disappearances
  • NoSQL
  • CAP theorem
  • Dark
  • HDFS
  • Technologies
  • Analytical systems
  • Architecture

Course programme

Week 1: Data in all its glory

  • The Data Exhaust
  • Tabular vs Big Data
  • Disappearances in the CAP Triangle
  • Why do NoSQL databases help overcome CAP theorem?
  • What is Dark data and where is it hiding?

Week 2: Taming the Data Exhaust

  • How can we analyse large data with distributed systems?
  • Hadoop, HDFS, MapReduce, and other technologies including the Spark framework
  • Distributed real time analytical systems
  • Lambda Architecture
  • Graphs and Graph databases

Week 3: Analysis is our answer

  • Introduction to Statistics
  • Introduction to R and Python
  • Bayesian Statistics
  • Goals of machine learning and data mining
  • Neural networks

Data Science in the Games Industry Certificate

Price on request