Institution: University of Dundee
Start Date: July 16, 2018
Use data analysis to build better gaming experiences through this free online course entitled as “Data Science in the Games Industry”, offered by University of Dundee. You’ll learn how to build better gaming experiences and increase profits.
This course will show you how to store and analyse data effectively and gain insights into game users’ actions and behaviors. You’ll find out about the different models of data, such as tabular data, atomic data, and relational data. The starting date of the course is July 16, 2018.
- Duration: 3 weeks
- Commitment: 3 hours
- Subject: Science
- Institution: University of Dundee
- Languages: English
- Price: Free
- Session: July 16, 2018
- Requirement: None
- Certificate Available: Yes
Who Developed the Course
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.
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.
Where Could This Lead You
After completing this course, you can apply for jobs in the given fields:
Get Extra Benefits
Get a verified certificate to highlight the knowledge and skills you acquire ($74)
- Official and approved-Get a certificate with the logo of the institution and the signature of a professor to show your achievements and increase your professional prospects
- Easy to share-Add the certificate to your résumé or resume, or publish it directly on LinkedIn
- Proven motivational measure-Give yourself an additional stimulus to complete the course
How to Join This Course
- You can register yourself here.
- You can use the hashtag #FLgamingdatato talk about this course on social media.
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
By the end of the course, you’ll be able to:
- 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
Who Will You Learn With?
- Andy Cobley: Senior lecturer at the school of Science and Engineering at the University of Dundee
- Mark Whitehorn: Specialises in Analytics, Data Science and Machine Learning
- Importance of Course: At the end of the course, you’ll understand how to store non-relational data at scale, and why data can be hard to distribute.
- Importance of Certificate: By the Certificate of Achievement you will be able to prove your success when applying for jobs or courses. You can display it on your LinkedIn or CV.
For more information about the course, you may visit the Website.Apply Now