Game Analytics: From Basics to Advanced Strategies | Julia Devtodev | Skillshare

Game Analytics: From Basics to Advanced Strategies

Julia Devtodev, passionate about data and game analytics

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16 Videos (3h 60m)
    • LECTURE 1. Key metrics

      20:15
    • LECTURE 2. Traffic analysis

      16:48
    • LECTURE 3. Retention and onboarding

      20:30
    • LECTURE 4. Soft launch

      10:05
    • LECTURE 5. Events and funnels

      16:17
    • LECTURE 6. Segmentation

      10:05
    • LECTURE 7. A/B testing

      13:37
    • LECTURE 8. Monetization analysis

      15:29
    • LECTURE 9. Data visualization: key rules

      16:17
    • LECTURE 10. How to analyze game economy

      21:52
    • LECTURE 11. Cross-platform analytics

      9:14
    • LECTURE 12. Analysis of promotional activities and game changes

      14:22
    • LECTURE 13. How to measure effectiveness of game versions

      11:09
    • LECTURE 14. Revenue forecast

      9:53
    • LECTURE 15. How to calculate and use LTV

      19:09
    • LECTURE 16. Machine Learning, push notifications, churn rate and its prediction

      14:37

About This Class

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devtodev's course is a great fit for everyone who is interested in game industry and game development, regardless their education or experience in analytics. We'll start with the basic methods and specifics of game analytics.

After the course, you'll be able to:

  • Plan revenue using forecasting methods and techniques
  • Reach breakeven point for your games faster
  • Find ineffective sources of traffic and save money by eliminating them
  • Know the basic game metrics and understand what they influence
  • Analyze large amounts of data and visualize them
  • Find the weak spots and potential points of growth for your game
  • Improve game experience for your customers and retain them

You'll get to know the main principles when it comes to analyzing games: from the moment of data collection to the moment of making the right decision based on data analysis.

Step by step, we'll be increasing the level of complexity of the course and will dive into the details of game analysis. We’ll find out how to organize the structure of the events, build funnels and forecast revenue based on the time series and regression, and then we will approach Machine Learning at the end of the course.

During the course, you’ll also learn how to use devtodev’s instruments and solve various complex issues.

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Julia Devtodev

passionate about data and game analytics

Hello, I'm Julia.

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