R, ggplot, and Simple Linear Regression

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Offered byUDEMY

R, ggplot, and Simple Linear Regression
at
UDEMY
Overview

Begin to use R and ggplot while learning the basics of linear regression

Duration	2 hours
Total fee	Free
Mode of learning	Online
Schedule type	Self paced
Official Website	Explore Free Course
Credential	Certificate

R, ggplot, and Simple Linear Regression
at
UDEMY
Highlights

Enroll to this course by Great Learning for free
Learn one of the most important tools in data science

R, ggplot, and Simple Linear Regression
at
UDEMY
Course details

Skills you will learn

Excel Regression R Data visualization Data Science

Who should do this course?

For beginners interested in using R
For beginners interested in learning about the graphics package ggplot2
For beginners interested in learning some basics of linear regression

What are the course deliverables?

Install R and RStudio
Create vectors and data frames in R
Plot points and lines with ggplot
Access vectors from data frames
Group with ggplot
Plot residual lines with ggplot
Fit a least squares line to a data set
Use a least squares line for prediction

More about this course

Data science skills are in much demand today, but it is not just the mathematicians, statisticians, and the computer scientists who can benefit from acquiring them
Begin using R, one of the most important tools in data science, and the excellent graphics package for R, ggplot2

R, ggplot, and Simple Linear Regression
at
UDEMY
Curriculum

Getting Started

Introduction

Installing R and RStudio

A Tour of RStudio

Vectors in R

Data Frames

Working with ggplot

Installing ggplot2

Plotting a point with ggplot

Controlling axis properties

More with color and shape

Graphing lines with ggplot

More with lines

Sampling from populations

Normal populations

Plotting a vertical sample

Plotting several vertical samples

Samples along a line

sapply

Cloud of points

Simple Linear Regression in R

Father and son heights

Equation of a line

Residual visualization

Sum of squared residuals

The least squares line

Prediction

Reading in Excel files

Course wrap-up

R, ggplot, and Simple Linear Regression
at
UDEMY
Faculty details

Charles Redmond

Dr. Charles Redmond is a professor in the Tom Ridge School of Intelligence Studies and Information Science at Mercyhurst University. He has been a member of the Department of Mathematics and Computer Systems at Mercyhurst for 21 years and has recently completed a term as chair of the department.