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Google

A/B Testing

Google via Udacity

Overview

This course will cover the design and analysis of A/B tests, also known as split tests, which are online experiments used to test potential improvements to a website or mobile application. Two versions of the website are shown to different users - usually the existing website and a potential change. Then, the results are analyzed to determine whether the change is an improvement worth launching. This course will cover how to choose and characterize metrics to evaluate your experiments, how to design an experiment with enough statistical power, how to analyze the results and draw valid conclusions, and how to ensure that the the participants of your experiments are adequately protected.

Syllabus

  • Overview of A/B Testing
    • This lesson will cover what A/B testing is and what it can be used for.,How to construct a binomial confidence interval for the results.,How to decide whether the change is worth the launch cost.
  • Policy and Ethics for Experiments
    • How to make sure the participants of your experiments are adequately protected.,What questions you should be asking regarding the ethicality of experiments.,The four main ethics principles to consider when designing experiments.
  • Choosing and Characterizing Metrics
    • Learn techniques for brainstorming metrics.,What to do when you can't measure directly.,Characteristics to consider when validating metrics.
  • Designing an Experiment
    • How to choose which users will be in your experiment and control group.,When to limit your experiment to a subset of your entire user base.,Design decisions affect the size of your experiment.
  • Analyzing Results
    • How to analyze the results of your experiments.,Run sanity checks to catch problems with the experiment set-up.,Check conclusions with multiple methods, including a binomial sign test.

Taught by

Caroline Buckey, Carrie Grimes and Diane Tang

Reviews

3.2 rating, based on 5 Class Central reviews

Start your review of A/B Testing

  • Klaas Naaijkens
  • Anonymous
    The lecturers explain the concept of A/B testing quite well and I could get a good grasp of the material. The course is a mix of lessons and quizzes, topped off by a final project. The quizzes were at the right level of difficulty, and the subsequen…
  • Anonymous
    This class is really hard to follow and understand. I don't like the format of having the three lecturers talk things through in a Q&A format. One, because some of the interactions are really awkward and hence distracting. Two, the structure format is hard to capture.

    This class also brushes over a lot of the statistics concept and how they get to certain steps. Really just gives you an overview of A/B Testing. I'm very disappointed!
  • Rafael Prados
  • Wenjingyue

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