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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: New
      New
      C

      Coursera Instructor Network

      Test Management in Software Testing

      Skills you'll gain: Test Planning, Test Tools, Software Testing, Test Case, Software Quality Assurance, User Acceptance Testing (UAT), Quality Assurance, Risk Management Framework, Technical Communication

      4
      Rating, 4 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Foundations for Everyone

      Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, Artificial Intelligence, ChatGPT, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), OpenAI, Workflow Management, Deep Learning, Machine Learning, Artificial Neural Networks, Governance, Automation, Application Deployment, Business Transformation, IBM Cloud, Applied Machine Learning, Program Development, Computer Vision

      4.7
      Rating, 4.7 out of 5 stars
      ·
      27K reviews

      Beginner · Specialization · 3 - 6 Months

    • D

      Deep Teaching Solutions

      Aprendiendo a aprender: Poderosas herramientas mentales con las que podrás dominar temas difíciles (Learning How to Learn)

      Skills you'll gain: Learning Strategies, Critical Thinking and Problem Solving, Learning Theory, Time Management, Prioritization, Cognitive flexibility, Productivity, Growth Mindedness, Stress Management, Planning, Self-Awareness, Persistence

      4.9
      Rating, 4.9 out of 5 stars
      ·
      11K reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Start Your API Testing Journey With Postman Tool

      Skills you'll gain: Postman API Platform, JSON, Application Programming Interface (API), Software Testing, Restful API, Scripting, Test Case

      4.4
      Rating, 4.4 out of 5 stars
      ·
      289 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Programming for Everybody (Getting Started with Python)

      Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Scripting Languages, Scripting, Computational Thinking, Development Environment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      231K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Foundations for Business

      Skills you'll gain: Large Language Modeling, Artificial Intelligence, Data Literacy, Data Mining, Generative AI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Information Architecture, Strategic Decision-Making, Enterprise Architecture, ChatGPT, Cloud Computing, Data Analysis, Data Science, Deep Learning, Machine Learning, Data Strategy, Business Strategy, Business Process Automation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      94K reviews

      Beginner · Specialization · 1 - 3 Months

    • U

      University of Washington

      Programming Languages, Part A

      Skills you'll gain: Software Installation, Programming Principles, Other Programming Languages, Functional Design, Ruby (Programming Language), Software Design Patterns, Computational Thinking

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.9K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Data Science

      Skills you'll gain: SQL, Jupyter, Data Literacy, Data Mining, Peer Review, Data Modeling, Databases, Stored Procedure, Relational Databases, Database Design, Query Languages, Data Science, Database Management, Big Data, Data Cleansing, Data Visualization Software, GitHub, Business Analysis, Cloud Computing, Data Analysis

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      99K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science

      Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Wrangling, Data Visualization, Plotly, Machine Learning Algorithms, Interactive Data Visualization, Knitr

      4.5
      Rating, 4.5 out of 5 stars
      ·
      51K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Analysis and Visualization Foundations

      Skills you'll gain: Data Storytelling, Big Data, Data Visualization Software, Data Analysis, Dashboard, IBM Cognos Analytics, Statistical Analysis, Data Mining, Apache Hadoop, Tree Maps, Excel Formulas, Data Wrangling, Apache Hive, Data Collection, Data Mart, Microsoft Excel, Data Warehousing, Data Quality, Data Cleansing, Data Import/Export

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      27K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      Introduction to Selenium

      Skills you'll gain: Selenium (Software), Test Automation, Debugging, Scripting, Automation, Web Scraping, Software Testing, Test Case, Browser Compatibility, Cascading Style Sheets (CSS)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      13 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM & Darden Digital Strategy

      Skills you'll gain: Strategic Thinking, Digital Transformation, Business Strategy, Cloud Computing Architecture, Competitive Analysis, Cloud Services, Large Language Modeling, Artificial Intelligence, Business Transformation, Cloud Security, Cloud Infrastructure, Big Data, Cloud Platforms, Data Analysis, Statistical Analysis, Cloud Hosting, Cloud Engineering, Generative AI, Product Lifecycle Management, Business Technologies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      45K reviews

      Beginner · Specialization · 3 - 6 Months

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

    • Test Management in Software Testing: Coursera Instructor Network
    • AI Foundations for Everyone: IBM
    • Aprendiendo a aprender: Poderosas herramientas mentales con las que podrás dominar temas difíciles (Learning How to Learn): Deep Teaching Solutions
    • Start Your API Testing Journey With Postman Tool: Coursera Project Network
    • Programming for Everybody (Getting Started with Python): University of Michigan
    • IBM AI Foundations for Business: IBM
    • Programming Languages, Part A: University of Washington
    • Introduction to Data Science: IBM
    • Data Science: Johns Hopkins University
    • Data Analysis and Visualization Foundations: IBM

    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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