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Overview
Context
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.
What you will learn during this Fundamentals of Bayesian Data Analysis in R course offered by Data Camp:
- We will take a detailed look at the foundations of Bayesian inference.
- Four reasons why Bayesian data analysis is a useful tool to have in your data science tool belt.
- Learn what Bayes theorem is all about and how to use it for statistical inference.
- Learn about using the Normal distribution to analyze continuous data and try out a tool for practical Bayesian analysis in R.
Programme Structure
Chapters
- What is Bayesian Data Analysis?
- How does Bayesian inference work?
- Why use Bayesian Data Analysis?
- Bayesian inference with Bayes' theorem
- More parameters, more data, and more Bayes
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- New York City, United States
Disciplines
Data Analytics View 179 other Short Courses in Data Analytics in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
PREREQUISITES
- Introduction to R
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
This course can be accessed for free with the Data Camp Premium or Teams subscriptions
Funding
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