A/B testing courses can help you learn experimental design, statistical analysis, and user behavior insights. You can build skills in hypothesis formulation, result interpretation, and optimizing conversion rates. Many courses introduce tools like Google Optimize, Optimizely, and Adobe Target, which facilitate the implementation of tests and analysis of outcomes, allowing you to apply your skills in real-world marketing and product development scenarios.

Skills you'll gain: A/B Testing, Google Analytics, Web Analytics, User Experience, Web Content, Target Audience, Marketing Effectiveness, Goal Setting, Marketing, Content Development and Management, Analytics
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Prompt Engineering, Generative AI, A/B Testing, Generative AI Agents, Content Creation, Branding, Text Mining
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: A/B Testing, Statistical Hypothesis Testing, Statistical Methods, Advanced Analytics, Statistical Analysis, Correlation Analysis, Data Analysis, Report Writing, Probability & Statistics, Analytical Skills, Data-Driven Decision-Making, Health Information Management and Medical Records, Business Process Automation
Beginner · Course · 1 - 4 Weeks

University of Minnesota
Skills you'll gain: Open Web Application Security Project (OWASP), Cucumber (Software), Software Testing, Selenium (Software), Gherkin (Scripting Language), JUnit, Verification And Validation, Test Automation, Unit Testing, Security Testing, Regression Testing, System Testing, Test Case, Software Development Tools, Testability, White-Box Testing, Behavior-Driven Development, Code Coverage, Performance Testing, Development Testing
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Bayesian Statistics, A/B Testing, Microsoft Excel, Statistical Machine Learning, Statistical Modeling, Predictive Analytics, Business Analytics, Data Analysis, Advanced Analytics, Probability & Statistics, Decision Making, Health Informatics, Statistical Programming, Markov Model
Mixed · Course · 1 - 4 Weeks
Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Sample Size Determination, Statistical Inference, Estimation, Statistics, Probability & Statistics, Sampling (Statistics), Statistical Analysis, Microsoft Excel, Excel Formulas, Data Analysis, Decision Making
Mixed · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Usability Testing, Usability, Test Tools, Interaction Design, Human Computer Interaction, Test Planning, User Research, Product Development, Web Analytics and SEO
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Regression Analysis, Statistical Analysis, Time Series Analysis and Forecasting, Logistic Regression, R Programming, Statistical Hypothesis Testing, Probability & Statistics, Statistical Modeling, R (Software), Statistics, Predictive Modeling, Generative AI, Forecasting, Descriptive Statistics, Power BI
Beginner · Course · 1 - 3 Months

Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, SAS (Software), Regression Analysis, Statistical Methods, Probability & Statistics, Statistical Modeling, Plot (Graphics), Statistical Inference
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Test Automation, Jenkins, CI/CD, Cloud Infrastructure, Cloud-Native Computing, Cloud Computing, Scalability, Test Execution Engine, Software Testing, Mobile Development Tools, Selenium (Software), Verification And Validation, Performance Testing, Cloud Security, Browser Compatibility
Advanced · Course · 1 - 4 Weeks

Board Infinity
Skills you'll gain: Test Planning, Test Tools, Software Testing, Configuration Management, Test Case, Integration Testing, System Testing, Test Automation, Software Development Life Cycle, Acceptance Testing, Software Technical Review, Code Review, Unit Testing, White-Box Testing, Regression Testing, Software Quality Assurance, Test Data, Risk Management, Risk Management Framework, Verification And Validation
Beginner · Specialization · 1 - 3 Months

Board Infinity
Skills you'll gain: Test Automation, Performance Testing, Software Quality Assurance, White-Box Testing, API Testing, Test Script Development, Debugging, Software Development Methodologies, User Acceptance Testing (UAT), JUnit, Maintainability, Development Testing, Selenium (Software), Scalability, Automation, Software Technical Review, DevOps, Regression Testing, Test Execution Engine, Security Testing
Beginner · Specialization · 3 - 6 Months
A/B testing is a method used to compare two versions of a webpage or product to determine which one performs better. By presenting different variations to users and analyzing their interactions, businesses can make data-driven decisions that enhance user experience and increase conversion rates. This approach is crucial in today's digital landscape, where understanding user behavior can significantly impact a company's success.‎
Careers in A/B testing span various roles, including data analyst, marketing specialist, product manager, and user experience (UX) researcher. These positions often require a blend of analytical skills and creativity, as professionals must interpret data and implement changes that resonate with users. Companies across industries are increasingly seeking individuals who can leverage A/B testing to optimize their offerings.‎
To excel in A/B testing, you should develop a solid foundation in statistics, data analysis, and user experience principles. Familiarity with tools like Google Analytics, Optimizely, or VWO is also beneficial. Additionally, understanding how to interpret results and make informed decisions based on data is crucial for success in this field.‎
Some of the best online courses for A/B testing include Bayesian Statistics: Excel to Python A/B Testing, which provides a comprehensive overview of statistical methods applicable to A/B testing. Other courses focus on broader testing methodologies and frameworks that can enhance your understanding of the subject.‎
Yes. You can start learning A/B testing on Coursera for free in two ways:
If you want to keep learning, earn a certificate in A/B testing, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎
To learn A/B testing, start by enrolling in online courses that cover the basics of statistics and data analysis. Engage with practical exercises that allow you to apply your knowledge in real-world scenarios. Additionally, consider joining communities or forums where you can discuss strategies and share insights with others interested in A/B testing.‎
Typical topics covered in A/B testing courses include experimental design, statistical significance, hypothesis testing, and data interpretation. Courses may also explore tools and software used in A/B testing, as well as case studies that illustrate successful implementations.‎
For training and upskilling employees in A/B testing, courses like AI-Driven Attribution Testing and Automation and Modern Testing Tools are excellent choices. These programs provide practical skills and knowledge that can be directly applied in the workplace, enhancing team capabilities in data-driven decision-making.‎