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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, 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
      ·
      108 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Preview
      Preview
      C

      Coursera

      Beyond basics: Advanced Data Analysis with Python

      Skills you'll gain: A/B Testing, Statistical Hypothesis Testing, Statistical Methods, Advanced Analytics, Statistical Analysis, Correlation Analysis, Business Reporting, Data Analysis, Report Writing, Probability & Statistics, Analytical Skills, Quantitative Research, Data-Driven Decision-Making, Health Informatics, Business Process Automation

      Beginner · Course · 1 - 4 Weeks

    • 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
      ·
      234 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Business Applications of Hypothesis Testing and Confidence Interval Estimation

      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

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      SAS

      Introduction to Statistical Analysis: Hypothesis Testing

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, SAS (Software), Regression Analysis, Statistical Methods, Probability & Statistics, Statistical Modeling, Plot (Graphics), Data Analysis, Statistical Inference

      4.7
      Rating, 4.7 out of 5 stars
      ·
      170 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Usability Testing with Hotjar

      Skills you'll gain: Usability Testing, Usability, Test Tools, Interaction Design, Human Computer Interaction, Test Planning, User Research, Product Development, Web Analytics and SEO

      4.3
      Rating, 4.3 out of 5 stars
      ·
      31 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    What brings you to Coursera today?

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Hypothesis Testing in Public Health

      Skills you'll gain: Statistical Hypothesis Testing, Biostatistics, Sampling (Statistics), Statistical Inference, Scientific Methods, Quantitative Research, Public Health

      4.8
      Rating, 4.8 out of 5 stars
      ·
      646 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Preview
      Preview
      E

      EDUCBA

      Bayesian Statistics: Excel to Python A/B Testing

      Skills you'll gain: Bayesian Statistics, A/B Testing, Microsoft Excel, Statistical Modeling, Predictive Analytics, Business Analytics, Statistical Methods, Advanced Analytics, Probability & Statistics, Decision Making, Health Informatics, Statistical Programming, Machine Learning, Markov Model, Probability Distribution, Sampling (Statistics)

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
      Preview
      C

      Coursera Instructor Network

      Advanced Cypress Testing

      Skills you'll gain: Scenario Testing, Testability, Software Testing, Integration Testing, Test Case, Test Automation, Acceptance Testing, Test Tools, Regression Testing, Test Planning, Test Execution Engine, Maintainability, Restful API, Security Testing, Test Data, Scalability, Debugging, Authentications, Compliance Reporting, Automation

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      B

      Board Infinity

      Software Quality Assurance and Testing

      Skills you'll gain: Test Automation, Performance Testing, Software Quality Assurance, Security Testing, Regression Testing, User Acceptance Testing (UAT), Maintainability, Development Testing, Continuous Delivery, Code Review, Scalability, Automation, DevOps, Software Design, Technical Communication, Test Execution Engine, Application Programming Interface (API), Integration Testing, Waterfall Methodology, Agile Methodology

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      B

      Board Infinity

      ISTQB Foundation Level Software Testing Certification Prep

      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, Functional Testing, Regression Testing, Software Quality Assurance, Risk Management, Risk Management Framework, Verification And Validation, Usability Testing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      67 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      B

      Board Infinity

      ISTQB Technical Test Analyst Certification Preparation

      Skills you'll gain: Performance Testing, Maintainability, Test Tools, Software Testing, Code Review, Test Automation, Software Technical Review, Test Planning, Software Quality (SQA/SQC), Scripting, Risk Analysis, Software Quality Assurance, Continuous Integration, CI/CD, Regression Testing, Code Coverage, Test Case, Unit Testing, Quality Assurance, Security Testing

      3.1
      Rating, 3.1 out of 5 stars
      ·
      8 reviews

      Advanced · Specialization · 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
    • Beyond basics: Advanced Data Analysis with Python: Coursera
    • Introduction to Test and Behavior Driven Development: IBM
    • Business Applications of Hypothesis Testing and Confidence Interval Estimation : Rice University
    • Introduction to Statistical Analysis: Hypothesis Testing: SAS
    • Usability Testing with Hotjar: Coursera Project Network
    • Hypothesis Testing in Public Health : Johns Hopkins University
    • Bayesian Statistics: Excel to Python A/B Testing: EDUCBA
    • Advanced Cypress Testing: Coursera Instructor Network
    • Software Quality Assurance and Testing: Board Infinity

    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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