The Data Geek will build their understanding as an analyst of aligning experimentation goals with business goals, including connecting revenue to experiments; plus using direct and indirect data from experiment results to help identify, define, craft, and manage hypotheses.
Concepts addressed in this certification:
- Foundations of experimentation cycle and program structure
- Aligning experimentation goals with business goals
- Connecting revenue to experimentations
- Primary, secondary, and monitoring metrics
- Statistics for experimentation
- How Stats Engine is different from other statistical models
- Reading the Optimizely results page
- Taking action on winning, losing, and inconclusive results
For those who prefer to follow a study-guide instead of reviewing eLearning, we also offer this study guide which provides you articles and other content designed to prepare you for the certification exam.
The certification exam can be accessed at Data Geek Level 1 certification.
This course will teach you the various ways an experimentation program structure can be set up, as well as which individuals should be involved and what various teams might look like.
Experimentation is an iterative cycle. Learn how to develop processes for your experimentation program and improve your optimization methodology.
The best experimentation programs align closely with the goals of the business. Learn how in this course.
Learn to explore data from your analytics, heat maps, and other tools to take your experimentation program to the next level.
In this course, you'll learn how to define your primary and secondary metrics and create roadmap of future experiments.
In this course, you'll learn how the Optimizely Stats Engine calculates results to enable business decisions.
In this course, we'll give you an overview of the Results page so that you can understand and interpret the data.
Once you've interpreted your results, why not share them with others to invest in long-term success for your program?
How can you make more impactful changes to ensure that your next experiment will be statistically significant?
A losing variation can sometimes feel disheartening, but take comfort in knowing you've tapped into something your visitors care about!
A winning variations is almost always a reason for celebration. But what you do next matters more!
In this course, learn about Adaptive Audiences and how it allows you to deliver relevant experiences based on visitor interest.
In the first part of a series of how-to courses, you will learn the first steps to implementing full stack, including installing the SDK and becoming familiar with the datafile, and learn to build your first feature.
Let's jump into Full Stack and learn a little bit about what SDKs are for, what the datafile is, and how to build our first feature!
Optimizely Rollouts is a free feature flagging solution development teams can use to roll out features confidently, target key audiences, and easily roll back poor performing features. This course offers insights to the benefits of feature flags and where they can be used in development workflows.