Introduction to Computational Statistics for Data Scientists Specialization
Practical Bayesian Inference. A conceptual understanding of the techniques and the tools used to perform scalable Bayesian inference in practice with PyMC3.
Instructor: Dr. Srijith Rajamohan
Access provided by New York State Department of Labor
2,889 already enrolled
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What you'll learn
The basics of Bayesian modeling and inference.
A conceptual understanding of the techniques used to perform Bayesian inference in practice.
Learn how to use PyMC3 to solve real-world problems.
Skills you'll gain
- Statistical Programming
- Sampling (Statistics)
- Probability Distribution
- Statistical Methods
- Jupyter
- Probability
- Statistics
- Bayesian Statistics
- Classification And Regression Tree (CART)
- Regression Analysis
- Simulations
- Debugging
- Statistical Modeling
- Statistical Inference
- Anomaly Detection
- Markov Model
- Data Science
- Algorithms
- Python Programming
- Databricks
Details to know
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