A/B Testing and Experiments
The Netherlands
In business, it’s important to know if your decisions will improve your business or not. When Google chooses a color for its home page, it uses experiments to decide between two variations. This two-day A/B Testing and Experiments training will teach you everything you need to know to successfully run your own online & offline experiments using Python.
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:
Design statistically sound experiments aligned with business objectives
Implement reusable Python code to simulate, run, and monitor A/B experiments
Analyze results of experiments using multiple statistical frameworks
Avoid common pitfalls that can invalidate your experiments
Program
- Why do A/B testing?
- How to design an experiment: creating an hypothesis, splitting the groups, avoiding biases, determining the right metrics and design.
- Preventing common pitfalls in A/B tests
- Classical hypothesis testing using frequentist statistics
- Why effect size matters in hypothesis testing
- How long to run an A/B test and why early stopping is a bad idea
- Bayesian A/B Testing
- Bootstrapping
- Multi-armed bandit algorithms for real-time A/B testing
This training is for you if…
You are interested in optimizing your business using experiments and statistics
You want to dive deeper into A/B testing and statistical analysis, even if you already have some experience
You are interested in insights and best practices from real-life applications
You want to know all the common statistical frameworks and when to use them
This training is not for you if…
You are a product manager or stakeholder and only need to know the gist of A/B Testing without the statistical details (check out our Innovation Through Experiments training instead)
You are not familiar with Python (check out our Python for Data Analysis course instead)
Why should I follow this training?
Make confident, data-driven decisions by optimizing your business with experimentation.
Not only understand A/B Tests in detail, but receive hands-on advice with real-life examples – learn today, apply tomorrow!
Professionalize your approach to A/B testing and experimentation with best practices and avoiding common pitfalls.
What does it look like?
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!
This course requires a laptop. The hands-on labs are run in an online environment, eliminating the need to install software.
Online sessions will be delivered via Microsoft Teams.
All literature and course materials are included in the price.
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