AB Testing

Article May 19, 2022

This introductory course will teach you how to set up successful A/B tests, analyze their results and build an effective experimentation roadmap, in order to deliver long-term digital success.

Best suited for business and analytics professionals who want to be equipped with skills and knowledge to engage in advanced data analysis involving multiple variables.

2 days

Validate your hypothesis with structured A/B testing methodologies.

AB Testing will help you design and analyze a controlled experiment's results. This will confirm if specific changes in various scenarios such as product design or feature expansion could improve performance.

From hypothesis to conclusions.

The arts and science of finding out what's working and what's not for your business. AB testing allows product managers, marketers and analysts to identify what works best and continue improving to boost business performance.


Design experiments for growth.

This course will cover how to choose and characterize metrics to evaluate your AB Testing experiments, how to design an experiment with enough statistical power, how to analyze the results and draw valid conclusions, and how to ensure that the participants of your experiments are adequately protected.

Optimize everything.

You’ll learn how to start optimizing business objectives by running AB tests. First, you’ll explore what AB testing is and why you’d want to do it. Next, you’ll learn about the process to go through when deciding what should be tested. Finally, you'll learn about statistical significance and how to analyze the results of an AB test using Python.

Learning Outcome

Upon completion, participants should be able to demonstrate each of the following;

  1. Understand the various considerations that go into designing a controlled experiment.
  2. Conduct an A/B test to determine the impact of one explanatory variable.
  3. Conduct an A/B/n test to determine the impact of multiple explanatory variables.

Learning Path

AB Testing is one of the modules under our Enterprise Data Analyst (EDA) program. EDA is a ten-day training program that provides analysts with advanced tools and skillsets required for efficient data analysis.

CADS Certification

Each exam in this program certifies job-ready knowledge and skill. Those that pass all are recognized as being able to distil insight from data and communicate its value to a decision-maker. Enter the world of Data Professionals.



Max is the official mascot for CADS or the Center of Applied Data Science.