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R for Data Science: Regression Methods

R for Data Science: Regression Methods


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 discover how to apply regression methods to data science problems using R.



Expected Duration (hours)
0.6

Lesson Objectives

R for Data Science: Regression Methods

  • Course Overview
  • perform the preparatory steps needed to create a linear model
  • create a linear regression model using the lm method in R
  • extract the results of a linear regression
  • test the predict method on a linear model
  • perform the preparatory steps needed to create a logistic model
  • apply the glm method on a logistic regression problem
  • create a linear regression model and use the predict method
  • Course Number:
    it_dsrfdsdj_04_enus

    Expertise Level
    Intermediate