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    Georgi Georgiev - CXL - Statistics for AB testing

    Georgi Georgiev - CXL - Statistics for AB testing

    $30.00
    No tax

    Improve Results with Statistics for A/B Testing

    Learn how to design A/B tests with proper statistical methods to ensure reliable and actionable results. Avoid costly mistakes and make data-driven decisions to maximize testing outcomes.

    What You’ll Learn:

    • Design statistically accurate A/B tests.
    • Calculate sample sizes and statistical significance.
    • Interpret key concepts like p-values and confidence intervals.
    • Handle complex scenarios like multivariate and concurrent tests.
    • Effectively communicate statistical insights to stakeholders.

    Course Length:

    3h 30min | 11 Lessons | 10 Downloadable Resources


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    Description

    Master Statistics for A/B Testing to Ensure Reliable and Actionable Results

    Course Overview

    This 3h 30min course equips you with the statistical skills needed to design, analyze, and interpret A/B tests effectively. By mastering statistical methods, you’ll gain confidence in running accurate experiments that lead to informed decisions and improved business outcomes.

    What You’ll Learn

    • Design A/B tests using proper statistical methods.
    • Calculate sample sizes and statistical significance for accurate tests.
    • Interpret p-values, confidence intervals, and statistical power.
    • Navigate complex scenarios like multivariate and concurrent tests.
    • Communicate statistical insights effectively to stakeholders.

    Why Take This Course?

    Many marketers struggle to trust the outcomes of their A/B tests due to a lack of statistical knowledge. This course provides you with the tools to ensure your tests are accurate, reliable, and actionable, enabling you to avoid costly errors and maximize the impact of your testing efforts.

    Course Curriculum

    • Basics of Causal Inference: Understand the role of experiments in decision-making.
    • Statistical Significance & Other Estimates: Learn to interpret key statistical concepts.
    • Statistical Power & Sample Size Calculations: Master sample size calculations for reliable results.
    • Multivariate Tests: Explore advanced testing scenarios.
    • Running Concurrent A/B Tests: Understand how to manage overlapping experiments.
    • Communicating Statistical Results: Learn to present test outcomes effectively.

    Who Should Take This Course?

    • Marketers responsible for conducting and analyzing A/B tests.
    • Data analysts and decision-makers seeking reliable insights.
    • Product managers optimizing features and user experience.
    • Teams managing experimentation across marketing and product development.

    About the Expert

    Georgi Georgiev is a seasoned internet marketer and statistician with over 15 years of experience. As the founder of Analytics-Toolkit.com, Georgi specializes in data-driven approaches to optimization and is the author of “Statistical Methods in Online A/B Testing.”

    Certificate of Completion

    Completing this course earns you an official CXL certificate of completion, recognized as an industry-leading qualification by employers worldwide.

    Enroll Now

    Product Details

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