# R Regression Methods

RStudio    |    Intermediate
• 8 videos | 36m 36s
• Includes Assessment
• Earns a Badge
Rating 4.5 of 199 users (199)
The programming language has become an essential skill for statistical computing and graphics, the tool of choice for data science professionals in every industry and field. R creates reproducible high-quality analyses, and allows users to take advantage of its great graphic and charting capabilities. In this 8-video Skillsoft Aspire course, you will discover how to apply regression methods to data science problems by using R. Key concepts covered in this course include preparing a data set before creating a linear regression model how to create a linear regression model with the lm method in R; and extracting statistical results of a linear regression problem. You will also learn how to test the predict method on perform the preparatory steps needed to create a logistic model; and how to apply the generalized linear model (glm) method on a logistic regression problem. Finally, learners see how to create a linear regression model and use the predict method on a linear model.

## WHAT YOU WILL LEARN

• 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

## IN THIS COURSE

• During this video, you will learn how to perform the preparatory steps needed to create a linear model.
• 3.  Creating Linear Models
Learn how to create a linear regression model using the lm method in R.
• 4.  Interpreting Model Output
In this video, learn how to interpret the results of a linear regression.
• 5.  Using Linear Prediction
In this video, find out how to test the predict method on a linear model.
• 6.  Logistic Data Preparation
In this video, you will learn how to perform the preparatory steps needed to create a logistic regression model.
• 7.  Using glm
In this video, learn how to apply the glm method to a logistic regression problem.
• 8.  Exercise: Creating a Linear Model
In this video, you will create a linear regression model and use the predict function.

## EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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