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Introduction to Bayesian Analysis in Python

Track :

Programming

Lessons no : 4

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What will you learn in this course?
  • Master Bayesian inference techniques using Python for real-world data analysis and decision-making
  • Implement probabilistic models and update beliefs with Bayesian methods in Python applications
  • Apply Python libraries like PyMC3 and ArviZ to perform Bayesian data analysis and visualization
  • Evaluate model performance and interpret Bayesian results for informed, data-driven decisions

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Lessons | 4


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The second edition of Bayesian Analysis with Python is an introduction to the main concepts of applied Bayesian inference and its practical implementation .