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A/B Testing Courses

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.


Popular A/B Testing Courses and Certifications


  • C

    Coursera

    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

    4.3
    Rating, 4.3 out of 5 stars
    ·
    111 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Generate Visuals for A/B Testing Success

    Skills you'll gain: Prompt Engineering, Generative AI, A/B Testing, Generative AI Agents, Content Creation, Branding, Text Mining

    Beginner · Course · 1 - 4 Weeks

  • 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, 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

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Software Testing and Automation

    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

    4.2
    Rating, 4.2 out of 5 stars
    ·
    998 reviews

    Intermediate · Specialization · 3 - 6 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 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

  • 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

What brings you to Coursera today?

  • C

    Coursera

    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

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    Statistical Analysis and Advanced Techniques

    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

  • 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), Statistical Inference

    4.7
    Rating, 4.7 out of 5 stars
    ·
    175 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    Cloud-Based Testing Platforms Advanced Practices

    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

  • Status: Free Trial
    Free Trial
    B

    Board Infinity

    Software Testing Fundamentals for ISTQB Exams 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, White-Box Testing, Regression Testing, Software Quality Assurance, Test Data, Risk Management, Risk Management Framework, Verification And Validation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    90 reviews

    Beginner · Specialization · 1 - 3 Months

  • 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, 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

    4.4
    Rating, 4.4 out of 5 stars
    ·
    16 reviews

    Beginner · Specialization · 3 - 6 Months

Searches related to a/b testing

bayesian statistics: excel to python a/b testing
generate visuals for a/b testing success
1234…834

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
  • Generate Visuals for A/B Testing Success: Coursera
  • Beyond basics: Advanced Data Analysis with Python: Coursera
  • Software Testing and Automation: University of Minnesota
  • Bayesian Statistics: Excel to Python A/B Testing: EDUCBA
  • Business Applications of Hypothesis Testing and Confidence Interval Estimation : Rice University
  • Usability Testing with Hotjar: Coursera
  • Statistical Analysis and Advanced Techniques: Microsoft
  • Introduction to Statistical Analysis: Hypothesis Testing: SAS
  • Cloud-Based Testing Platforms Advanced Practices: Coursera

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 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:

  1. Preview the first module of many A/B testing courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

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.‎

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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