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Bayesian Data Analysis in Python

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$12

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Course Features

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Duration

4 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

4 hours

Course Description

Bayesian data analysis is a popular technique for statistical inference. This method can be used to calculate conditional probabilities, without relying on fixed constants such as confidence levels or P values. This course will show you how Bayesian data analysis is different from traditional methods and make it an integral part of your data science toolbox. You will also learn about decision analysis and A/B testing as you analyze real-world data such as advertising and sales. You can use the PyMC3 library to design, fit, and interpret Bayesian model designs.

Course Overview

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Virtual Labs

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International Faculty

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Case Based Learning

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Post Course Interactions

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Case Studies,Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

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Intermediate Python

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Introduction to Statistics in Python

What You Will Learn

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

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In this course, you’ll learn how Bayesian data analysis works, how it differs from the classical approach, and why it’s an indispensable part of your data science toolbox

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You’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

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Finally, you’ll get hands-on with the PyMC3 library, which will make it easier for you to design, fit, and interpret Bayesian models

Course Instructors

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Michał Oleszak

Machine Learning Engineer

Michał is a Machine Learning Engineer with a background in statistics and econometrics, holding degrees from Erasmus University Rotterdam, The Netherlands and Warsaw School of Economics, Poland. ...

Course Reviews

Average Rating Based on 3 reviews

5.0

100%

Course Cover

$12

$6

49% OFF

Visit Course

Visit Course