The Experimentation Evangelist will learn to use experimentation results to drive company-wide strategic objectives and support a culture of experimentation.
Concepts addressed in this path:
- Foundations of experimentation cycle and program structure
- Align experimentation to your business goals
- Build an optimization team
- Statistics for experimentation
- How Stats Engine is different from other statistical models
- Reading the Optimizely results page
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 Experimentation Evangelist 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.
You can't be a lone wolf forever. In this course, we'll help you build your experimentation team and nurture a culture of optimization.
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.
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.