Innovation Through Experiments

In business, it is essential to know whether changing something will improve it (or not). When Google chooses a color for its home page, it uses experiments to decide between two variations. This one-day Innovation Through Experiments training, designed for managers and product owners, provides a foundation in statistical experiments, so you can successfully communicate with data science teams.

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Surat will gladly help you further with custom training solutions for your organization.

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What will you learn?

After the training, you will be able to:

Design simple experiments (A/B Tests) using best practices

Avoid common pitfalls in designing business-focused experiments and interpret their results

Understand the basic statistics used for decision-making in A/B testing

Program

  • The importance of A/B testing 
  • How to design an experiment (choosing metrics, splitting the population, determining if a change is real)
  • Types of test designs (sequential, parallel, multivariate) 
  • Stories and examples from the field 
  • Common mistakes and how to avoid them 
  • Try a mock A/B test yourself in a fun game 

This training is for you if:

You are interested in knowing how statistical experiments should be conducted, but won’t be running them yourself

You are a product owner or manager of a data science team

This training is not for you if:

You want to be the one using technical skills to conduct your own A/B tests (check out our A/B Testing and Experiments course instead)

You work in a field where only qualitative tests are used

What else
should I know?

After registering for this training, you will receive a confirmation email with practical information. A week before the training, we will ask you about any dietary requirements and share literature if you need to prepare.

See you soon!

Course information

All literature and course materials are included in the price. 

After registering for this course, you will receive a confirmation email with practical information. 

This training requires a laptop.

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Next:

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