Course details

R for Data Science: Classification & Clustering

R for Data Science: Classification & Clustering


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

R is a programming language that is an essential skill for data science and big data used for statistical computing and graphics. In this Skillsoft Aspire course, you will examine how to apply classification and clustering methods to data science problems using R.



Expected Duration (hours)
0.6

Lesson Objectives

R for Data Science: Classification & Clustering

  • Course Overview
  • perform the preparatory steps needed to create a classification and decision tree
  • use the rpart library to build a decision tree
  • use the ctree library to build a decision tree
  • perform the preparatory steps needed to carry out clustering
  • use the k-means clustering method
  • use hierarchical clustering with the hclust and cutree methods
  • apply a decision tree method to a classification problem
  • Course Number:
    it_dsrfdsdj_05_enus

    Expertise Level
    Intermediate