Basic online course
on game analytics
Free course

Game Analytics

From Basics to Advanced Strategies

About course

Our course is a great fit for everyone who is interested in game industry and game development, regardless their education or experience in analytics. Newcomers will be able to get to know the basics and then gradually grow into advanced users. Professionals in the industry will deepen their knowledge and add up some other strategies and approaches to their skill set.

We'll start with the basic methods and specifics of game analytics.
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’sinstruments and solve various complex issues.

In the end of the course, you’ll be able to complete the final test to determine the level of your knowledge. Our best graduates can count on our help in job placement if necessary.

Preparing this course, we took into account our previous experience and feedback from our participants. Now you’ll be able to watch all the lectures whenever it’s more convenient for you.

COURSE FORMAT

4 MODULES
16 LECTURES

ANALYSIS OF GAME CASES

FREE TRAINING
SCHEDULE

TESTS AT THE END
OF EACH MODULE

FINAL TEST

ELECTRONIC CERTIFICATE

COURSE PROGRAM
First steps
Introduction into game analytics:
what you need to calculate and why
Lecture 1
Key metrics
Lecture 2
Traffic analysis
Lecture 3
Retention and onboarding
Lecture 4
Soft launch
Main analytics methods
Game analysis:
from events to users
Lecture 5
Events and funnels
Lecture 6
Segmentation
Lecture 7
A/B testing
Lecture 8
Monetization analysis
Lecture 9
Data visualization: key rules
Specifics of game analytics
How game analysis is different
from app analysis?
Lecture 10
How to analyze game economy
Lecture 11
Cross-platform analytics
Lecture 12
Analysis of promotional activities and game changes
Lecture 13
How to measure effectiveness of game versions
Let's talk about the future
How to plan and forecast
success of your games
Lecture 14
Revenue forecast
Lecture 15
How to calculate and use LTV
Lecture 16
Machine Learning, push notifications, churn rate and its prediction

AFTER THE COURSE YOU WILL 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
  • Course participants will get the certificate and our help in job placement

REVIEWS

Well, that is a great course and thanks devtodev for creating and developing it! It gives you a clear understanding of the main analytical tools and how to use it. After this course you have an idea where do you suppose to start and what can you do to achieve the best result. Thanks a lot for this project.

Alena Altynova

I'd like to thank Vasiliy Sabirov for an interesting course. I like his attitude and delivery: everything is organized and systemized, ideal balance between theory and real-life cases to light up the theoretical part. Thanks!

Evgeniy Mikhalkov

Thanks a lot and wishing you and your project all the best!

Vlad Solyannikov

Thank you for a great course! It's really interesting and insightful, and the most important - applicable in the real-life situations.

Timur M.

About devtodev

devtodev is a full-cycle analytics solution developed by games industry professionals specifically for game developers that helps you convert players into paying users, improve in-game economics, predict churn, revenue and customer lifetime value, as well as analyze and influence user behavior.