A/B Testing and Experiments Training

Data Science - medior

Experiments the Right Way

Have you ever wondered how Google chooses a color for its home page? How do they decide between two variations? In business, how can you know if changing something will improve it or not? The two-day A/B Testing and Experiments training will teach you everything you need to know to successfully run your own experiments.

What you'll learn

What to do before running an experiment
How to split the population across your experiment
How to determine the right metric for your experiment
Experiment pitfalls and how to avoid them

How to run multiple experiments at the same time
How long to run an A/B test
Why stopping early is a bad idea
How to bootstrap to estimate uncertainties

The Program

The program consists of both theory and hands-on exercises.

Day 1:

Setting up experiments
How to determine the success of your experiment

Day 2:

How to determine the minimum sample size
How to apply bootstrapping
Multi-armed bandit algorithms
A fun game to go hands-on with experimentation

Climbing a steep Python and Machine Learning curve in three days. This would have taken me months on my own.

FD Mediagroep Data Scientist

This online course is perfect for

Data Scientists and Analysts who work in organizations that use testing and want to professionalize experiments. Familiarity with statistics is required, as well as basic experience with Python. If you’re not quite there yet, we recommend the Python Essentials course as preparation for this training.

What will you learn during A/B Testing and Experiments?

After this training, you will know how to set up and validate an A/B test and confidently explain the statistics behind it to colleagues and management. You will also learn best practices for replicating experiments in your own organization.

Data Science Skills

The Data Science Learney Journey

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The training courses in this journey teach you new skills and empower you to stay ahead professionally. We offer solid fundamentals that apply to practical Python courses, whether you are a beginner or an advanced user. We also offer courses on Spark, R, and Deep Learning.