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Bayesian Data Analysis in Python

DataCamp, Online
Length
4 hours
Next course start
Start Anytime! See details
Course delivery
Self-Paced Online
Length
4 hours
Next course start
Start Anytime! See details
Course delivery
Self-Paced Online
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Course description

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

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Start Anytime!

  • Self-Paced Online
  • Online
  • English

Training Course Content

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

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DataCamp
Data Science Central UK Limited, 25 Luke Street
EC2A 4EE London

DataCamp

DataCamp offers a comprehensive platform for learning data skills, specializing in training individuals and teams in data science, analytics, and AI. With a focus on interactive, hands-on learning, DataCamp provides courses across key programming languages such as Python, R, SQL,...

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