Bayesian Statistics: Excel to Python A/B Testing

By the end of this course, learners will be able to apply Bayesian statistics for decision-making in both business and healthcare contexts, implement probabilistic models in Excel, and perform advanced A/B and multi-variant testing using Python. The course begins with a hands-on introduction to Bayesian reasoning in Excel, where you will learn to structure datasets, calculate joint and conditional probabilities, and update prior probabilities with real-world healthcare examples. You will practi

• Apply Bayesian reasoning in Excel to calculate and update probabilities
• Build probabilistic models and analyze predictive performance on real data
• Use Python with MCMC and PyMC for A/B testing and posterior inference

• Basic knowledge of statistics
• Basic Excel skills
• Introductory Python knowledge helpful