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January 28, 2025
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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
2,877 already enrolled
Included with
(51 reviews)
Recommended experience
Beginner level
Some experience with Data Science using the PyData Stack of NumPy, Pandas, Scikit-learn
Fundamentals of linear algebra and calculus
(51 reviews)
Recommended experience
Beginner level
Some experience with Data Science using the PyData Stack of NumPy, Pandas, Scikit-learn
Fundamentals of linear algebra and calculus
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.
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This specialization should take about 3 months to complete
Some experience with Data Science using the PyData Stack of NumPy, Pandas, Scikit-learn
The courses should ideally be taken in the following order
Iintroduction to Probability and Distributions
Bayesian Inference with MCMC
Iintroduction to PyMC3 with applications
None are offered at this point
You will be able to solve real-world applications that benefit from Bayesian inference techniques
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.
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