Bayesian Statistics: Excel to Python A/B Testing
Completed by Greg Strong
December 17, 2025
6 hours (approximately)
Greg Strong's account is verified. Coursera certifies their successful completion of Bayesian Statistics: Excel to Python A/B Testing
What you will learn
Apply Bayesian reasoning in Excel to calculate, update, and interpret probabilities.
Build probabilistic models and analyze predictive performance in real datasets.
Use Python with MCMC and PyMC for A/B testing, posterior inference, and scaling.
Skills you will gain
- Category: Predictive Analytics
- Category: Advanced Analytics
- Category: Microsoft Excel
- Category: Statistical Programming
- Category: Markov Model
- Category: Bayesian Statistics
- Category: Statistical Modeling
- Category: A/B Testing
- Category: Probability Distribution
- Category: Statistical Software
- Category: Statistical Machine Learning
- Category: Sampling (Statistics)
