LIVE ONLINE COURSE
Every smart decision is data-based. Learn how to leverage data that benefits all gaming departments and positions you higher in the industry.
Join Rick Evans, EA’s longtime data whiz, for a 7-week journey on game analytics and learn what it takes to thrive in the world of gaming.
Aquire analytical skills that’ll teach you about user behavior, industry trends, and monetization. Then take these newly adopted skills into your next analyst position.
Recently graduated? Looking to become an analyst? Let your passion for the gaming industry be explored as you learn the ropes of game analytics.
Learn the skills needed to switch industries or be prepared to take on more responsibilities with training that can help you become a data scientist.
Support your game’s product development roadmap and launch cycles with insights you’ll be able to understand on your own.
Gamers generate over 50 terabytes of data each day. In the right hands, this data could tell a story, predict player behaviors, and increase revenue.
Invest in the skills that will make your next game a hit.
Ask your questions live, get instant feedback, and have group discussions with people in your industry.
For 7 weeks you’ll be taught directly by Rick and work on real-world inspired data.
What does a game analyst actually do? Get background information on the terms and tools the job entails and a realistic view of the day-to-day tasks that analysts complete.
Pick a game you enjoy (mobile, PC, or console). Write down the top 5 questions you think the game publisher or developer would want to have answered. Then, identify the data points you’d need to collect or derive to answer the questions.
This class will get you to start thinking about how to track data, examine the different categories of metrics, and understand their nuances.
Research vendors that provide software as a service for tracking game analytics to understand how their services work. What would a game studio need to use their services, and what do they specifically provide? Create a one-page summary.
The game dev pipeline is filled with stages. In this class, you’ll learn the different stages of building a game and see where and how data analysts get involved.
Use mock data to carry out A/B tests and measure statistical differences. Turn in your results and interpretations.
Every department needs data to help them make decisions. Learn the priorities of different areas of your business and see how you can align data with each team’s needs.
There’s a way to keep players interested and regularly playing your game. Learn how to keep them engaged and have data to support it.
Develop groups of players based on a motivational analysis.
Time to get hands-on and work with data as an analyst would. Practice your skills with today’s class assignment.
Load some mock data into DBeaver and perform a data quality check. Create a descriptive analysis of the data to produce a report on each column.
In this lesson, you will challenge the way look at data and analyze how you define metrics.
Use the dataset provided and pick 3-4 metrics from class and figure out what the values are.
Explore the reasons why players spend money and how you can get them to spend more.
Analyze the game you’re currently playing and think how the in-game economy works. Determine the main spending factors.
Imagine you trying to get information on game features. You want to determine if the users enjoy the feature, if it’s bringing in more money, and if the players are having fun. In this class, you’ll analyze data and evaluate features to see what’s working.
It’s time to see if we should adjust certain features. Use mock data for feature lift analysis.
In this class, you’ll have the chance to familiarize yourself with 4 tools and take data from DBeaver and connect it to Tableau. And by the end of the lesson, you’ll know the difference between good and bad visualization.
Deliver impactful messages by turning data into clear visuals.
What does an experienced game analyst do differently when creating presentations? Get guidance through the reporting process and learn the right way to present your findings.
Analyze a presentation written by another analyst communicating their findings. Think outside the box to add your suggestions and comments on how to improve their presentation.
As an analyst, you’re the go-to person for insights. Learn how to be useful to your team and help them narrow down what their seeking. And walk into studio life prepared as you find out how to manage these requests and fit in to help.
There are certain words that game industry recruiters look for. Take a look at an analyst resumé to see how it applies to the industry and put the right words on your resume so it stands out.
Assignment #11 (Optional):
Resumé redlining (create & review).
You’ve learned the ABCs of game analytics, now here’s an introduction to diverse types and sizes of data that you might come across in your career path.
"It's extremely well planned and organized. I know exactly what we're doing each class and what's expected of me and most everything just seems to work as expected."
"The material is pretty easy to follow along, even if you do not have an analyst background or specialty coming in. I appreciate the clarity for the fundamentals we are covering."
"Rick is definitely an expert in the field but understands that not everyone here is at the same level of experience. I feel like the content is both helpful to those that are already many years into data analytic careers, and even those who have just started their data journeys."