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Multivariate Probability Distributions in R Data Camp

Highlights
Tuition fee
Free
Free
Free
Unknown
Tuition fee
Free
Free
Free
Unknown
Duration
1 days
Duration
1 days
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

In this Multivariate Probability Distributions in R course offered by Data Camp you will learn to analyze, plot, and model multivariate data.

Overview

Context

When working with data that contains many variables, we are often interested in studying the relationship between these variables using multivariate statistics. 

In this Multivariate Probability Distributions in R course offered by Data Camp, you'll learn about common multivariate probability distributions, including the multivariate normal, the multivariate-t, and some multivariate skew distributions. 

You will then be introduced to techniques for representing high dimensional data in fewer dimensions, including principal component analysis (PCA) and multidimensional scaling (MDS).

Programme Structure

Chapters

  • Reading and plotting multivariate data
  • Multivariate Normal Distribution
  • Other Multivariate Distributions
  • Principal Component Analysis and Multidimensional Scaling

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

What students do after studying

Join for free or log in to access our complete career info list.

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

  • This course is suitable for beginners although a working knowledge of R is required for this course. It provides an introduction to multivariate data, distributions, and statistical techniques for analyzing high dimensional data.
  • Professionals in fields like data science, finance, economics, and engineering would benefit from this course. It would also be useful for actuaries, statisticians, and researchers.

PREREQUISITES

  • Foundations of Probability in R

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    Free
  • Out-of-State
    Free
  • Domestic

    In-State
    Free

Additional Details

This course can be accessed for free with the Data Camp Premium or Teams subscriptions

Funding

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