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Data Science

A/B Testing and Experiments - Virtual

Get the information you need to make the right choice. Have you ever wondered how companies know which choices will lead to success? This training teaches you to confidently experiment and make decisions based on insights. In June it will be a virtual class in 4 half-days from 9:00h till 12.30h.

Discover the changes that will make a difference

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? Whether it's a website or model that powers your business, there is a way to determine which changes are "good" and should be rolled out, and which changes are “bad,” and should be discarded. The A/B Testing and Experiments training will teach you everything you need to know to successfully run your own experiments.

A/B Testing & Experiments 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.

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

You will 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

Data Science Trainers

This Data Science training is brought to you by our training partner GoDataDriven. GoDataDriven's experts are always on the lookout for innovative ways to get the most out of data. Your trainer is a data guru who enjoys sharing his or her experiences to help you work with the latest tools.

Data Science Learning Journey

Your Data Science Learning Journey starts with a Foundation course, such as the Data Science with Python Foundations, Data Science for Product Owners or Data Science with R. Continue your journey with Advanced Data Science with Python or three days of Deep Learning. If you want to proceed to Expert level, register for our 3-day Data Science with Spark course.

Yes, I want to do more with data!

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 there's a need to prepare. See you soon!

What else should I know?

  • This training requires a laptop. The hands-on labs are run in an online environment, eliminating the need to install software.
  • All literature and a nice lunch are included in the price.
  • Travel & accommodation expenses are not included. 
  • This course is brought to you by our training partner GoDataDriven.

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