Training schedule

8 Nov - 11 Nov, 2022
Online, instructor-led / English
€1295

IN-COMPANY TRAINING PROGRAMS

Contact Giovanni Lanzani, if you want to know more about custom data & AI training for your teams. He’ll be happy to help you!
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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 successfully run your own experiments.

This training is for you if…

  • You are a data scientist and you are interested in conducting experiments with statistics 

  • You are somewhat comfortable with Python & Statistics, and you are  interested in  understanding more

This training is not for you if…

  • You are not comfortable with Python & Statistics and only want the basic concepts. (Check out our Innovation Through Experiments training course instead).
  • You would rather deep dive into statistics. (Check out our Bayesian Statistics training instead).

Clients we've helped

  • Instruqt GoDataDriven
  • Fivetran logo

What you'll learn

Designing and Running Experiments

  • How to design meaningful experiments.
  • The intuition behind the statistics needed to make an appropriate decision.
  • The practical skills necessary to run your own experiments.
  • Common mistakes made in the industry and how to avoid them.

Scaling Up Experimentation

  • 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

Improving by Experimenting

  • Conduct statistical experiments using Python.
  • Avoid common pitfalls that can invalidate your experiments.
  • Have confidence that you are making real improvements.

The schedule

Day 1
  • The importance of A/B testing
  • How to determine the success of your experiment
  • How to design an experiment:
  • How to split the population
  • How to determine the right metric for your experiment
  • Experiment pitfalls and how to avoid them
  • Classical hypothesis testing
  • Further techniques for conducting A/B tests
Day 2
  • How long to run an A/B test and why early stopping is a bad idea
  • Bootstrapping to estimate uncertainties
  • Bandit algorithms for real-time A/B testing

After the training you will be able to:

  • Conduct statistical experiments using Python.
  • Avoid common pitfalls that can invalidate your experiments.
  • Confidently make choices that lead to real improvements.

learning journey

Data Science Learning Journey

meet your trainer

Rogier van der Geer

Data Charmer

Before joining GoDataDriven, Rogier obtained a PhD in particle physics. Rogier gained hands-on experience with handling enormous quantities of data and processing, or ‘charming,’ them into a manageable format before performing complicated analyses. After his PhD he exchanged physical science for data science at GoDataDriven, where he is now putting his skills to use on more business-driven problems. He likes applying data science to anything; be it his daily commute, improving his photography skills or the contents of his lunch box.

Clients include: Bakkersland, App Annie, Costa Cruises, ING, NPO, Ebay, KLM, and RoyalFlora Holland

Flexible delivery

The Right Format For Your Preferred Learning Style

In-Classroom & In-Company Training
Online, Instructor-Led Training
Hybrid and Blended Learning
Self-Paced Training
Get in touch with the experts

Have any questions?

Contact Giovanni Lanzani, our Managing Director of Learning and Development, if you want to know more. He’ll be happy to help you!

Call me back

You can reach him out by phone as well at +31 6 51 20 6163

Course: A/B Testing and Experiments Training

Book now