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- Introduction to PyMC3 for Bayesian Modeling and Inference: Databricks
- What are the Chances? Probability and Uncertainty in Statistics: Johns Hopkins University
- Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University
- Cryptography and Information Theory: University of Colorado System
- Conceptos base para el estudio del medio ambiente: Universidad Austral
- Statistical Inference for Estimation in Data Science: University of Colorado Boulder
- Mécanique quantique: École Polytechnique
- Methods for Solving Problems: University of Colorado Boulder
- Simulation Models for Decision Making: University of Minnesota
- Introduction to Bayesian Statistics: Databricks

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