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.
Looking to upskill your team(s) or organization?
Rozaliia will gladly help you further with custom training solutions for your organization.
Rozaliia Khafizova
Data and AI Training Advisor
What will you learn?
After the training, you will be able to:
Define what an A/B test is and explain its purpose in business decision-making
Draft a simple experiment plan from a real-life scenario.
Choose appropriate metrics to measure success in a given business context.
Describe what statistical significance means and calculate the sample size for your experiment.
Avoid common pitfalls in business-focused experiment design.
Program
- What is A/B testing? When should you (not) perform an A/B test?
- Designing an A/B test: hypothesis, variants, population split.
- Metrics: how do you measure success? The difference between main and health metrics.
- Stats without the scare! What does it mean when something is statistically significant, and how do you calculate the group size for your experiment?
- Common experimentation pitfalls to avoid
- Brainstorm and share: how can you experiment in your job or field?
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
Why should I follow this training?
Learn how A/B tests can optimize your business
Learn today, apply tomorrow!
Learn about common pitfalls from real-life cases and how you can avoid them
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.
Upcoming courses
View all trainingsThe A/B Testing and Experiments training will teach you everything you need to know to run your own experiments successfully.
