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

By the end of this course, learners will be able to explain core Generative AI concepts, analyze data-driven R&D workflows, apply AI tools for prototyping and innovation, and evaluate the role of emerging technologies and collaborative ecosystems in accelerating research and development. This course provides a comprehensive, practical understanding of how Generative AI is transforming modern R&D across industries. Learners will explore how AI augments human intelligence, accelerates experimentation, and enables faster, more informed decision-making. Through real-world applications such as dat

Write Persuasive Emails is an intermediate-to-advanced short course within the B2B Sales Negotiation: Leveraging AI Professional Certificate. In this course, you will learn how to combine persuasive communication with AI-enabled experimentation to improve your outreach performance using evidence rather than instinct. You will apply Cialdini’s principles of social proof and scarcity to write a clear, credible objection-handling email and then validate its effectiveness through a lightweight A/B test. Rather than treating AI as a replacement for your judgment, this course positions AI as an acc

What separates a good marketer from a great one? The ability to turn data into decisions. That's exactly what you’ll learn in this course. Marketing Analytics Mastery is designed to take you from feeling overwhelmed by data to making confident, insight-driven decisions. You'll start with the fundamentals - understanding marketing metrics, the AARRR framework, and customer acquisition, before moving to essential techniques like RFM Analysis, funnel analysis, and A/B testing. Then dig into revenue strategy, unit economics, and product analytics using Mixpanel, Google Analytics and E

Move beyond reporting and learn how to optimize marketing performance using experimentation, forecasting, and advanced analytics workflows. In this course, you’ll design A/B tests, evaluate statistical significance, create forecasting models, and use GA4 insights to improve campaign execution and measurement quality. You’ll learn how to structure meaningful A/B tests with clear hypotheses, success metrics, sample-size planning, and evaluation criteria. You’ll also create forecasting models that project future campaign performance and budget requirements using historical marketing data and tr

This course builds essential statistical analysis capabilities for market research professionals. Learners will develop a strong understanding of statistical package functionality and master techniques for comparing group differences through hypothesis testing. You'll move beyond raw data to defensible insights by learning not just how to run a statistical test, but why it matters and what it means for the business. Through practical, hands-on application in real-world scenarios—such as A/B testing and customer satisfaction analysis—you will build the analytical skills needed to draw statisti

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

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

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