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Md. Saif Kabir Asif has completed

Fundamentals of Bayesian Data Analysis in R

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4 hours
4,450 XP
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Course Description

Bayesian data analysis is an approach to statistical modeling and machine learning that is becoming more and more popular. It provides a uniform framework to build problem specific models that can be used for both statistical inference and for prediction. This course will introduce you to Bayesian data analysis: What it is, how it works, and why it is a useful tool to have in your data science toolbox.
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  1. 1

    What is Bayesian Data Analysis?

    Free

    This chapter will introduce you to Bayesian data analysis and give you a feel for how it works.

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    A first taste of Bayes
    50 xp
    Unknowns and ice creams
    50 xp
    Let's try some Bayesian data analysis
    50 xp
    Coin flips with prop_model
    100 xp
    Zombie drugs with prop_model
    100 xp
    Samples and posterior summaries
    50 xp
    Looking at samples from prop_model
    100 xp
    Summarizing the zombie drug experiment
    100 xp
    You've done some Bayesian data analysis!
    50 xp

In the following tracks

Machine Learning ScientistStatistician

Collaborators

Collaborator's avatar
Chester Ismay
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Nick Solomon

Prerequisites

Introduction to R
Rasmus Bååth HeadshotRasmus Bååth

Data Science Lead at castle.io

Rasmus Bååth is a Data Science Lead at castle.io. Previously, he was an instructor and Curriculum Lead for Projects at DataCamp. He has a PhD in Cognitive Science from Lund University in Sweden. Follow him at @rabaath on Twitter or on his blog, Publishable Stuff.
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