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We're here to help you find itProbabilistic Programming and Bayesian Computing with PyMC Course Overview
Unlock the power of Probabilistic Programming and Bayesian Computing with PyMC with our comprehensive 3-day course. You’ll start with basic concepts such as Bayesian Statistics and PyMC syntax, moving on to more advanced topics like Markov Chain Monte Carlo (MCMC) Methods, Hierarchical Modeling, and Variational Inference. Each session is designed to be hands-on, ensuring you can build and validate complex Bayesian models. Dive into practical applications like Time Series Modeling and Bayesian A/B Testing, and complete an end-to-end project to solidify your learning. Suitable for professionals aiming to make data-driven decisions in fields like marketing, healthcare, and finance.
Purchase This Course
USD
View Fees Breakdown
Course Fee | 1,450 |
Total Fees |
1,450 (USD) |
USD
View Fees Breakdown
Course Fee | 1,150 |
Total Fees |
1,150 (USD) |
USD
View Fees Breakdown
Flexi Video | 16,449 |
Official E-coursebook | |
Exam Voucher (optional) | |
Hands-On-Labs2 | 4,159 |
+ GST 18% | 4,259 |
Total Fees (without exam & Labs) |
22,359 (INR) |
Total Fees (with exam & Labs) |
28,359 (INR) |
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
Minimum Required Prerequisites for the Probabilistic Programming and Bayesian Computing with PyMC Course:
To successfully undertake the Probabilistic Programming and Bayesian Computing with PyMC course, students should have the following foundational knowledge:
These prerequisites will ensure that students can fully engage with the course materials, hands-on sessions, and advanced topics covered over the three days.
1. Introduction:
This course dives into probabilistic programming with PyMC, designed for professionals seeking to master Bayesian statistics and advanced modeling techniques.
2. Target Audience and Job Roles:
The "Probabilistic Programming and Bayesian Computing with PyMC" course offers comprehensive training on probabilistic modeling and Bayesian inference using the PyMC library, covering foundational theories, advanced modeling techniques, and real-world applications.