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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

    • Status: Free
      Free
      C

      Coursera Project Network

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

      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

      4.4
      Rating, 4.4 out of 5 stars
      ·
      107 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: SQL, Data Quality, Complex Problem Solving, Data Visualization, JSON, Business Metrics, Business Reporting, Data Presentation, Forecasting, Data Analysis, Predictive Analytics, Exploratory Data Analysis, Debugging, Data Transformation

      Intermediate · Course · 1 - 4 Weeks

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

      Google

      Google UX Design

      Skills you'll gain: Responsive Web Design, Storyboarding, Wireframing, User Experience Design, UI/UX Research, Usability Testing, Information Architecture, Presentations, User Research, Figma (Design Software), Design Reviews, Persona (User Experience), Web Content Accessibility Guidelines, Mobile Development, User Story, Cross Platform Development, Data Ethics, Usability, Interviewing Skills, Professional Development

      Build toward a degree

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

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D
      S

      Multiple educators

      Machine Learning

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Machine Learning Methods, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Tensorflow, Scikit Learn (Machine Learning Library), Artificial Intelligence, NumPy, Predictive Modeling, Deep Learning, Reinforcement Learning, Random Forest Algorithm, Feature Engineering

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      35K 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 Storytelling, Data Literacy, Data Visualization, Data Presentation, Data Ethics, Data Cleansing, Rmarkdown, Interactive Data Visualization, Data Validation, Ggplot2, Tableau Software, Sampling (Statistics), Presentations, Spreadsheet Software, Data Analysis, Data Visualization Software, Stakeholder Communications, LinkedIn, Interviewing Skills, Professional Development

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      171K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Developer

      Skills you'll gain: Prompt Engineering, Software Development Life Cycle, Large Language Modeling, Restful API, Software Architecture, ChatGPT, Development Environment, Flask (Web Framework), Generative AI, Cascading Style Sheets (CSS), Jupyter, Application Deployment, Bootstrap (Front-End Framework), Software Design, Software Development Tools, OpenAI, Python Programming, Engineering Software, 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

    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), Unsupervised Learning, Generative AI, Keras (Neural Network Library), Supervised Learning, Deep Learning, Reinforcement Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Generative AI Agents, Image Analysis, Data Manipulation, Natural Language Processing, Tensorflow, Machine Learning, Python Programming, Data Science

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      20K reviews

      Intermediate · 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), Gherkin (Scripting Language), Code Coverage, Behavior-Driven Development, Software Testing, Unit Testing, Test Automation, Test Case, Test Data, Integration Testing, Restful API, Microservices

      4.8
      Rating, 4.8 out of 5 stars
      ·
      232 reviews

      Intermediate · Course · 1 - 3 Months

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

      IBM

      IBM Data Science

      Skills you'll gain: Dashboard, Data Visualization Software, Data Visualization, Predictive Modeling, SQL, Unsupervised Learning, Plotly, Interactive Data Visualization, Supervised Learning, Exploratory Data Analysis, Jupyter, Data Wrangling, Data Literacy, Data Analysis, Data Mining, Matplotlib, Regression Analysis, Scikit Learn (Machine Learning Library), Generative AI, Professional Networking

      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
      G

      Google

      Foundations of User Experience (UX) Design

      Skills you'll gain: User Research, User Experience Design, Design Thinking, User Centered Design, Usability, Persona (User Experience), Usability Testing, Web Content Accessibility Guidelines, Wireframing, Prototyping, Sprint Retrospectives, Sprint Planning

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

      Beginner · Course · 1 - 4 Weeks

    • Y

      Yale University

      The Science of Well-Being

      Skills you'll gain: Positive Behavior Support, Goal Setting, Resilience, Self-Awareness, Behavioral Economics, Mental Health, Productivity, Psychology, Social Skills, Mindfulness

      4.9
      Rating, 4.9 out of 5 stars
      ·
      39K reviews

      Mixed · Course · 1 - 3 Months

    • D

      Deep Teaching Solutions

      Learning How to Learn: Powerful mental tools to help you master tough subjects

      Skills you'll gain: Learning Strategies, Time Management, Willingness To Learn, Productivity, Growth Mindedness, Mental Concentration, Creativity, Self-Discipline, Cognitive flexibility, Stress Management, Adaptability

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

      Beginner · Course · 1 - 4 Weeks

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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
    • Machine Learning: DeepLearning.AI
    • Google Data Analytics: Google
    • IBM AI Developer: IBM
    • IBM AI Engineering: IBM
    • Introduction to Test and Behavior Driven Development: IBM
    • IBM Data Science: 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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