The video game industry collects a huge amount of data from its users. But most of this data is ignored despite its value to the game industry.

This course will show you how to effectively store and analyze data and gain insights into the actions and behaviors of game users.
You will learn about different data models such as tabular data, atomic data, and relational data.
You will understand how to store non-relational data at scale and why data can be difficult to distribute.
You will learn how to create a better gaming experience and increase profits.

What topics will you cover?

Week 1: Data in all its glory

  • Data exhaustion
  • Tabular vs. big data
  • Disappearance in the CAP triangle

Week 2: Breaking the CAP triangle

  • NoSQL
  • Cassandra
  • MongoDB
  • Graphs and graph databases
  • Hiding the dark data

Week 3: Taming data exhaustion

  • 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 analysis
  • The future of Data Science