A/B Testing and Experiments
8 October, 2024 – Virtual
In business, it’s important to know if 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 two-day A/B Testing and Experiments training will teach you everything you need to know to successfully run your own experiments using Python.
Looking to upskill your team(s) or organization?
Diego will gladly help you further with custom training solutions for your organization.
Diego Teunissen
Data and AI Training Advisor
Duration
4 days
Time
09:00 – 13:00
Language
English
Lunch
Included
Certification
No
Level
Foundation
What will you learn?
After the training, you will be able to:
Design and conduct experiments in Python
Convey statistical results to stakeholders
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: splitting the groups, avoiding biases, determining the right metrics and design.
- Preventing common pitfalls in A/B tests
- Classical hypothesis testing using frequentist statistics
- How long to run an A/B test and why early stopping is a bad idea
- Hypothesis testing using Bayesian statistics
- Bootstrapping
- Multi-armed bandit algorithms for real-time A/B testing
This training is for you if…
You are interested in conducting and analyzing experiments using statistics
You want to dive deeper into A/B testing and statistical analysis, even if you already have some experience
This training is not for you if…
You don’t want to do any statistical tests and are only interested in A/B testing basics (check out our Innovation Through Experiments training instead)
You are not familiar with Python (check out our Python for Data Analysts course if you want to learn Python)
Why should I follow this training?
Make confident,
data-driven decisions
Hands-on training with real life examples – learn today apply tomorrow!
Professionalize your approach to testing and experimentation
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.
As this is a live-virtual class, you will have to take care of your own lunch and accommodation. 😉
All literature and course materials are included in the price.
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