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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: 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: 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, Text Mining

    Beginner · Course · 1 - 4 Weeks

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

    Google

    Google Digital Marketing & E-commerce

    Skills you'll gain: Data Storytelling, Media Planning, Social Media Marketing, Google Ads, Email Marketing, Social Media Strategy, Order Fulfillment, Social Media Management, Online Advertising, Search Engine Optimization, Performance Measurement, Spreadsheet Software, A/B Testing, Client Services, Campaign Management, E-Commerce, Loyalty Programs, Marketing, Interviewing Skills, Applicant Tracking Systems

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    48K reviews

    Beginner · Professional Certificate · 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, Probability & Statistics, Decision Making, Health Informatics, Statistical Programming, Markov Model

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Meta

    Marketing Analytics with Meta

    Skills you'll gain: A/B Testing, Marketing Analytics, Advertising Campaigns, Campaign Management, Data Presentation, Presentations, Marketing, Marketing Effectiveness, Social Media Campaigns, Advertising, Digital Advertising, Marketing Strategies, Social Media Marketing, Facebook, Data-Driven Decision-Making, Data Analysis, Brand Awareness, Key Performance Indicators (KPIs), Target Audience

    4.8
    Rating, 4.8 out of 5 stars
    ·
    256 reviews

    Beginner · Course · 1 - 3 Months

What brings you to Coursera today?

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

    Coursera

    AI-Powered Modern Marketing

    Skills you'll gain: Marketing Automation, Marketing Planning, Marketing Analytics, Competitive Analysis, Prompt Engineering, Email Automation, Search Engine Optimization, Generative AI, Key Performance Indicators (KPIs), AI Personalization, Lead Generation, A/B Testing, Content Creation, Web Analytics, Performance Measurement, Data Visualization, Customer Insights, Data-Driven Decision-Making, Digital Marketing, Content Strategy

    Intermediate · Specialization · 3 - 6 Months

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

    Coursera

    Quantitative Finance & Risk Modeling

    Skills you'll gain: Financial Modeling, Descriptive Statistics, Data Literacy, Financial Forecasting, Reconciliation, Financial Analysis, A/B Testing, Portfolio Risk, Model Evaluation, Data Cleansing, Decision Tree Learning, Regression Analysis, Exploratory Data Analysis, Predictive Modeling, Data Analysis, Risk Analysis, Risk Management, R Programming, Statistical Analysis, Machine Learning

    Intermediate · Specialization · 3 - 6 Months

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

    Coursera

    Product Intelligence: Unlock Insights for Product Success

    Skills you'll gain: Data Storytelling, Data Presentation, Data-Driven Decision-Making, Strategic Decision-Making, Product Management, Customer Insights, Data Analysis, Forecasting, A/B Testing, Business Analytics, Analytics, Prioritization, Statistical Analysis, Business Metrics, User Research, Customer Retention, Machine Learning Methods, Root Cause Analysis, Statistical Methods, Stakeholder Communications

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Interaction Design

    Skills you'll gain: Design Research, Interaction Design, User Experience Design, Statistical Analysis, Usability, Ideation, User Research, Graphic and Visual Design, User Interface (UI) Design, Experimentation, Prototyping, Usability Testing, Human Centered Design, Human Computer Interaction, A/B Testing, Human Factors, Collaborative Software, Telecommuting, R Programming, Storyboarding

    4.5
    Rating, 4.5 out of 5 stars
    ·
    4K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Mathematics for Machine Learning and Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Machine Learning Algorithms, Data Preprocessing, Machine Learning, Machine Learning Methods

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.1K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    User Experience Research and Design

    Skills you'll gain: UI/UX Research, Surveys, Qualitative Research, Usability Testing, User Experience Design, User Research, User Experience, User Story, Prototyping, Wireframing, User Centered Design, Survey Creation, Sampling (Statistics), Design Research, Interaction Design, Ideation, A/B Testing, Conceptual Design, Web Analytics, Usability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.3K reviews

    Beginner · Specialization · 3 - 6 Months

Searches related to a/b testing

a/b testing by google
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1234…8

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
  • Beyond basics: Advanced Data Analysis with Python: Coursera
  • Generate Visuals for A/B Testing Success: Coursera
  • Google Digital Marketing & E-commerce: Google
  • Bayesian Statistics: Excel to Python A/B Testing: EDUCBA
  • Marketing Analytics with Meta: Meta
  • AI-Powered Modern Marketing: Coursera
  • Quantitative Finance & Risk Modeling: Coursera
  • Product Intelligence: Unlock Insights for Product Success: Coursera
  • Interaction Design: University of California San Diego

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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