Optimization Statistics


Statistics are the cornerstone of every metric in business. Understanding how they're accumulated and how they work, even when you have an engine that does it for you, equips you with knowledge that can inform the way you build experiments. A basic understanding of how statistics are calculated and where they're drawn from will help you build more effective experiments and more realistically estimate how long it will take to see results.

In this course, you'll learn how to answer the following questions:

  1. What is statistical significance and how does Optimizely guarantee results?
  2. What do I need to know about the stats engine?

When all of the course elements are marked Completed, return to the learning path by clicking the path name in the breadcrumb at the top of the page.

New Courses


Create Feature Flags with Optimizely Rollouts

Optimizely Rollouts uses feature flags to separate code deployment from feature launches in your environments. This course focuses on the technical aspects of building and using Optimizely's free feature flags to roll out features confidently, target key audiences and easily roll back poor performing features.


Setting Up Your Experimentation Program Structure

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.


Analysis in Program Management

In this course, you'll learn how to use Program Management to more effectively analyze the results of your experiments and iterate out into new experiment ideas.


Team Functionality

In this course, you will learn how to set up and manage your team in Program Management.