Bayesian Statistics

Data Analytics
Gegevens en AI

Bayesian statistics is a framework based on Bayes’ Theorem, which has revolutionized many industries by dealing with probability distributions differently (as Bayes would say: Common sense expressed in numbers). The Bayesian interpretation of ‘probability’ defines probability as a degree of belief that an event will occur given prior experiences. In this 2-day deep-dive into Bayesian statistics, you’ll discover how to solve multi-armed bandits using techniques such as Markov chain Monte Carlo, Variational Inference, and much more.

Looking to upskill your team(s) or organization?


Rozaliia will gladly help you further with custom training solutions

Rozaliia Khafizova
Data and AI Training Advisor


+31 6 11 58 19 37

[email protected]
linkedin.com/in/rozaliya-k

Get in touch

What will you learn?

After the training, you will be able to:

Explain the theory of Bayesian Statistics and how it differs from the classical approach.

Apply Bayes’ Theorem to real-world problems.

Use PyMC to put Bayesian statistics into practice

Program

  • Introduction to Bayesian statistics 
  • Bayes’ Theorem 
  • Bayesian Coin Flipping 
  • The Bayesian Paradigm 
  • Introduction to PyMC3 and distributions 
  • Bayesian Modelling in practice 
  • Markov Chain Monte Carlo with PyMC3 

This training is for you if:

You already understand basic statistics.

You are interested in learning about Bayesian statistics and how it differs from the frequentist approach.

You want to improve your visualisations so they help your audience understand the message.

This training is not for you if:

You are missing the fundamentals of statistics (check out our A/B Testing and Experiments training instead)

You have never used Python before.

You only want the basic concepts without going more deeply into statistics.

Why should I follow this training?

It is much more intuitive and easier to convey results to stakeholders without a technical background

Learn what Bayesian statistics is and how to apply it to real-world problems. 

Understand the theory of Bayesian Statistics

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!

Course information

All literature and course materials are included in the price. 

After registering for this course, you will receive a confirmation email with practical information. 

Upcoming courses

View all trainings
Data & AI Summer School – Expand your Data & AI skills

Xebia Data Summer School: Make the most of your summer and elevate your Data and AI skills – 1 week, 12 courses

Data Analytics
Data Science
Data Storytelling
dbt
Docker
Gegevens en AI
Generatieve AI
PowerBI
Python
SQL
Bekijk training
Data Visualization with Python

Learn all about creating data visualisations in Python! We’ll guide you through four plotting libraries in Python and provide you with the pros and cons of each.

data visualization
Python
Bekijk training
SQL for Data Analysis

Learn to use SQL querying your data to unveil invaluable insights.

Bekijk training
Introduction to Deep Learning for Computer Vision

Master neural networks and deep learning and understand AI’s visual capabilities with our two-day introductionary Deep Learning course.

Deep Learning
Bekijk training
LLMOps on Azure

Dive into the practical aspects of deploying and managing Large Language Model (LLM) applications with Azure.

Gegevens en AI
GenAI
Microsoft Azure
Bekijk training

Can’t find the course you’re looking for? There’s more!