The 10 best A/B Testing & Experimentation courses in 2026

Ready to transform scattered email sends into powerful, strategic sequences that build relationships and drive results? This Short Course was created to help Marketing professionals accomplish building and optimizing high-performing email series that outperform single-email campaigns. By completing this course, you'll be able to create cohesive multi-email campaigns with personalized content, implement A/B testing strategies, and use data analytics to continuously improve your email series performance. By the end of this course, you will be able to: Build and launch a 3-part email series us

This course equips team leaders, managers, and professionals with the practical skills to lead AI adoption across their organizations. You will learn how to assess your team's AI readiness, evaluate and implement shared AI tools, design team-wide prompts for consistency, and create a cross-functional AI transformation roadmap. Unlike generic AI courses, this program focuses on team-wide adoption strategies rather than individual AI usage, addressing common adoption pitfalls and enabling your team to move from scattered experimentation to coordinated, high-impact AI workflows. By completing thi

We are always using experiments to improve our lives, our community, and our work. Are you doing it efficiently? Or are you (incorrectly) changing one thing at a time and hoping for the best? In this course, you will learn how to plan efficient experiments - testing with many variables. Our goal is to find the best results using only a few experiments. A key part of the course is how to optimize a system. We use simple tools: starting with fast calculations by hand, then we show how to use FREE software. The course comes with slides, transcripts of all lectures, subtitles (English, Spanis

Descriptive and inferential statistics, hypothesis testing, and regression.

University of Michigan's specialization on statistical inference, visualization, and modeling in Python.

Acquisition loops, viral mechanics, and analytics for fast-growing products.

The benchmark program for growth practitioners — acquisition, retention, and monetization models.

Free course on designing and analyzing A/B tests, from Google.

Deep CRO training: research, experimentation, statistics, and optimization frameworks.

Instrument events, build funnels, and measure retention like a growth PM.