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    • A B Testing

    A/B Testing Courses Online

    Learn A/B testing to optimize web performance and marketing strategies. Understand statistical methods for experiment analysis.

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    Explore the A/B Testing Course Catalog

    • C

      Coursera Project Network

      Create an A/B web page marketing test with Google Optimize

      Skills you'll gain: A/B Testing, Google Analytics, Marketing Effectiveness, Web Analytics, Customer experience improvement, Web Analytics and SEO, Target Audience, Web Content, Content Performance Analysis, Marketing, Analytics

      4.4
      Rating, 4.4 out of 5 stars
      ·
      108 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      SQL Problem Solving

      Skills you'll gain: Data Quality, SQL, Data Storytelling, Data Presentation, Data Visualization, Complex Problem Solving, Business Intelligence, Business Reporting, Forecasting, Dashboard, Data Analysis, JSON, Business Analytics, Dataflow, Analytics, Predictive Analytics, Exploratory Data Analysis, Business Metrics, Data Manipulation

      4.1
      Rating, 4.1 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      G

      Google

      Google UX Design

      Skills you'll gain: UI/UX Research, User Research, Responsive Web Design, Wireframing, Usability Testing, Storyboarding, User Experience Design, Information Architecture, Design Research, Figma (Design Software), Sprint Retrospectives, Mockups, Cross Platform Development, Prototyping, User Experience, Usability, Persona (User Experience), Design Thinking, Interviewing Skills, Applicant Tracking Systems

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      92K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google

      Google AI Essentials

      Skills you'll gain: Prompt Engineering, Generative AI, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Productivity Software, Workforce Development, Applied Machine Learning, Business Solutions, Organizational Strategy, Business Process Automation, Social Studies, Innovation, Data Collection, Automation, Data Security, Human Machine Interfaces, Forecasting, Emerging Technologies, Analysis, Critical Thinking

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.2K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      G

      Google

      Google Data Analytics

      Skills you'll gain: Data Presentation, Data Storytelling, Data Cleansing, Data Visualization, Data Validation, Rmarkdown, Data Integrity, Interactive Data Visualization, Data Ethics, Dashboard, Ggplot2, Data Quality, Stakeholder Communications, Data Literacy, Data Visualization Software, Data Analysis, SQL, Interviewing Skills, Analytical Skills, Applicant Tracking Systems

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      172K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D
      S

      Multiple educators

      Machine Learning

      Skills you'll gain: Unsupervised Learning, Machine Learning, Anomaly Detection, Reinforcement Learning, Supervised Learning, Feature Engineering, Decision Tree Learning, Classification And Regression Tree (CART), Data Ethics, Tensorflow, Regression Analysis, Machine Learning Algorithms, Applied Machine Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Python Programming, NumPy, Artificial Neural Networks

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      35K reviews

      Beginner · Specialization · 1 - 3 Months

    What brings you to Coursera today?

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Engineering

      Skills you'll gain: Prompt Engineering, Large Language Modeling, PyTorch (Machine Learning Library), Keras (Neural Network Library), Unsupervised Learning, Feature Engineering, Generative AI, Supervised Learning, Deep Learning, Natural Language Processing, Reinforcement Learning, Applied Machine Learning, Generative AI Agents, Scikit Learn (Machine Learning Library), Artificial Neural Networks, Jupyter, ChatGPT, Python Programming, Machine Learning, Data Science

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      21K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      I

      IBM

      IBM Data Science

      Skills you'll gain: Data Wrangling, SQL, Unsupervised Learning, Matplotlib, Data Literacy, Feature Engineering, Relational Databases, Data Visualization Software, Professional Networking, Predictive Modeling, Plotly, Supervised Learning, Dashboard, Exploratory Data Analysis, Generative AI, Seaborn, Data Visualization, Data Mining, Jupyter, Data Science

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      145K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Developer

      Skills you'll gain: Prompt Engineering, Generative AI, Software Development Life Cycle, Software Architecture, ChatGPT, Web Development Tools, Responsive Web Design, Development Environment, Generative AI Agents, Software Design, Large Language Modeling, Software Engineering, Flask (Web Framework), Software Development Methodologies, Software Design Patterns, Jupyter, Professional Networking, Python Programming, Machine Learning, Data Science

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      72K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Foundations of User Experience (UX) Design

      Skills you'll gain: UI/UX Research, User Experience Design, Sprint Retrospectives, Cross Platform Development, Usability, User Centered Design, Human Centered Design, Web Content Accessibility Guidelines, Design Thinking, Wireframing, Prototyping, Sprint Planning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      74K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Business Intelligence (BI) Analyst

      Skills you'll gain: Dashboard, Business Intelligence, Data Warehousing, Data Visualization, SQL, Data Storytelling, IBM DB2, Pivot Tables And Charts, Descriptive Statistics, Database Design, MySQL, Star Schema, Relational Databases, Business Analytics, Data Analysis, Data Cleansing, Tableau Software, Data Mining, Data Wrangling, Data Collection

      4.7
      Rating, 4.7 out of 5 stars
      ·
      14K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Test and Behavior Driven Development

      Skills you'll gain: Test Driven Development (TDD), Test Case, Gherkin (Scripting Language), Software Testing, Behavior-Driven Development, Unit Testing, Selenium (Software), Test Tools, Test Automation, Test Data, Code Coverage, Restful API, Microservices, Mockups

      4.8
      Rating, 4.8 out of 5 stars
      ·
      232 reviews

      Intermediate · Course · 1 - 3 Months

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    In summary, here are 10 of our most popular a/b testing courses

    • Create an A/B web page marketing test with Google Optimize: Coursera Project Network
    • SQL Problem Solving: University of California, Davis
    • Google UX Design: Google
    • Google AI Essentials: Google
    • Google Data Analytics: Google
    • Machine Learning: DeepLearning.AI
    • IBM AI Engineering: IBM
    • IBM Data Science: IBM
    • IBM AI Developer: IBM
    • Foundations of User Experience (UX) Design: Google

    Skills you can learn in Marketing

    Market (economics) (28)
    Social Media (15)
    Marketing Strategy (14)
    Analytics (13)
    Brand (13)
    Digital Marketing (13)
    Marketing Analytics (11)
    Plan (11)
    Advertising (9)
    Modeling (9)
    Social Media Marketing (9)
    Brand Management (7)

    Frequently Asked Questions about A B Testing

    A/B testing, also known as split testing, is a method used to compare two versions of a webpage, app, or marketing campaign to determine which one performs better. It involves dividing the audience into two groups and showing each group a different variant (A or B) to analyze user behavior, engagement, and conversion rates. By measuring the impact of changes between the two versions, businesses can make data-driven decisions to optimize their strategies and achieve better outcomes.‎

    To excel in A/B testing, it's beneficial to have a combination of technical and analytical skills. Some key skills to focus on include:

    • Statistical analysis: Understanding statistical concepts and hypothesis testing is essential for drawing meaningful conclusions from A/B test results.
    • Experimental design: Knowledge of experimental design principles helps in designing valid and reliable A/B tests.
    • Data analysis: Proficiency in data analysis using tools like Excel, Python, or R enables you to analyze and interpret test data accurately.
    • Web analytics: Familiarity with web analytics platforms such as Google Analytics allows you to track user behavior and measure key metrics.
    • Critical thinking: The ability to think critically and draw actionable insights from test results is crucial in making informed decisions.
    • Communication skills: Effectively communicating test results and recommendations to stakeholders is important for driving organizational change.‎

    A/B testing skills are valuable in several job roles across industries, including:

    • Conversion Rate Optimization (CRO) Specialist
    • Data Analyst
    • Digital Marketing Analyst
    • UX/UI Designer
    • Product Manager
    • E-commerce Manager
    • Marketing Strategist
    • Growth Hacker
    • Web Analyst
    • Optimization Consultant These roles involve leveraging A/B testing techniques to improve user experiences, optimize marketing campaigns, and drive business growth.‎
    • Analytical mindset: A strong analytical approach and attention to detail are essential for designing effective tests and interpreting results accurately.
    • Curiosity and creativity: A/B testing requires constantly generating hypotheses, exploring different ideas, and seeking innovative solutions.
    • Problem-solving skills: Being able to identify pain points, formulate hypotheses, and find data-driven solutions is crucial in A/B testing.
    • Comfort with data: A comfort level with data analysis and statistical concepts is beneficial for drawing insights and making informed decisions.
    • Collaboration skills: A/B testing often involves working with cross-functional teams, requiring effective communication and collaboration.‎

    Several topics are related to A/B testing that can further enhance your skills and knowledge. Some of these topics include:

    • Experimental design and statistical analysis
    • Multivariate testing
    • User experience (UX) design principles
    • Web analytics and data visualization
    • Customer behavior analysis
    • Conversion rate optimization (CRO) strategies
    • Digital marketing and advertising principles
    • Machine learning and predictive analytics
    • Data-driven decision-making
    • Ethical considerations in A/B testing‎

    Online A/B Testing courses offer a convenient and flexible way to enhance your knowledge or learn new A/B Testing skills. Choose from a wide range of A/B Testing courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in A/B Testing, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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