Online Courses 
Codecademy
Moocable is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
Description
Learn about the difference between simple linear regression and multiple linear regression in R
### Why Learn Linear Regression in R?
This course is an introduction to the topic of linear regression and how to implement them using the R programming language. Linear regression models are used in machine learning, so this course serves as an introduction to the topic as well. R is used by professionals in the Data Analysis and Data Science fields as part of their daily work.
### Take-Away Skills
In this course, you will learn how to make linear regression models using R. In addition to learning how to make the model, you will also learn how to interpret it. This is almost more critical than making the model itself — being able to communicate the findings that you get from your model is an essential skill of a data scientist.
Tags
Syllabus
- Linear Regression In R: Learn about the difference between simple linear regression and multiple linear regression.
- Lesson: Linear Regression in R
- Article: Introduction to Regression Analysis
- Quiz: Linear Regression in R Quiz
- Project: Predicting Income with Social Data
-
TypeOnline Courses
-
ProviderCodecademy
Learn about the difference between simple linear regression and multiple linear regression in R
### Why Learn Linear Regression in R?
This course is an introduction to the topic of linear regression and how to implement them using the R programming language. Linear regression models are used in machine learning, so this course serves as an introduction to the topic as well. R is used by professionals in the Data Analysis and Data Science fields as part of their daily work.
### Take-Away Skills
In this course, you will learn how to make linear regression models using R. In addition to learning how to make the model, you will also learn how to interpret it. This is almost more critical than making the model itself — being able to communicate the findings that you get from your model is an essential skill of a data scientist.
### Why Learn Linear Regression in R?
This course is an introduction to the topic of linear regression and how to implement them using the R programming language. Linear regression models are used in machine learning, so this course serves as an introduction to the topic as well. R is used by professionals in the Data Analysis and Data Science fields as part of their daily work.
### Take-Away Skills
In this course, you will learn how to make linear regression models using R. In addition to learning how to make the model, you will also learn how to interpret it. This is almost more critical than making the model itself — being able to communicate the findings that you get from your model is an essential skill of a data scientist.
- Linear Regression In R: Learn about the difference between simple linear regression and multiple linear regression.
- Lesson: Linear Regression in R
- Article: Introduction to Regression Analysis
- Quiz: Linear Regression in R Quiz
- Project: Predicting Income with Social Data
Tags
Related Courses
Bayesian Statistics: From Concept to Data Analysis
MathTrackX: Polynomials, Functions and Graphs
Matemáticas para la U
Equazioni differenziali lineari del secondo ordine
Stochastic Control And Communication
Çok değişkenli Fonksiyon II: Uygulamalar / Multivariable Calculus II: Applications
Çok değişkenli Fonksiyon I: Kavramlar / Multivariable Calculus I: Concepts
Integral And Vector Calculus
Response Surfaces, Mixtures, and Model Building
Math Fundamentals (2020)
Number Theory
Loading...
Saving...
Loading...