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#### â‚¬40 Monthly or â‚¬298 Annually for full access to whole course catalogue.

Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!

Bayesian data analysis is an increasingly popular method of statistical inference, used to determine conditional probability without having to rely on fixed constants such as confidence levels or p-values. In this course, youâ€™ll learn how Bayesian data analysis works, how it differs from the classical approach, and why itâ€™s an indispensable part of your data science toolbox. Youâ€™ll get to grips with A/B testing, decision analysis, and linear regression modeling using a Bayesian approach as you analyze real-world advertising, sales, and bike rental data. Finally, youâ€™ll get hands-on with the PyMC3 library, which will make it easier for you to design, fit, and interpret Bayesian models.

Course Outline

Chapter 1: The Bayesian way (Free)
Take your first steps in the Bayesian world. In this chapter, youâ€™ll be introduced to the basic concepts of probability and statistical distributions, as well as to the famous Bayes' Theorem, the cornerstone of Bayesian methods. Finally, youâ€™ll build your first Bayesian model to draw conclusions from randomized coin tosses.

Chapter 2: Bayesian estimation
Itâ€™s time to look under the Bayesian hood. Youâ€™ll learn how to apply Bayes' Theorem to drug-effectiveness data to estimate the parameters of probability distributions using the grid approximation technique, and update these estimates as new data become available. Next, youâ€™ll learn how to incorporate prior knowledge into the model before finally practicing the important skill of reporting results to a non-technical audience.

Chapter 3: Bayesian inference
Apply your newly acquired Bayesian data analysis skills to solve real-world business challenges. Youâ€™ll work with online sales marketing data to conduct A/B tests, decision analysis, and forecasting with linear regression models.

Chapter 4: Bayesian inference
Apply your newly acquired Bayesian data analysis skills to solve real-world business challenges. Youâ€™ll work with online sales marketing data to conduct A/B tests, decision analysis, and forecasting with linear regression models.

Find out more and register here.

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