R Regression Methods

RStudio 1.1.4
  • 8 Videos | 39m 36s
  • Includes Assessment
  • Earns a Badge
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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

  • Playable
    1. 
    Course Overview
    1m 31s
    UP NEXT
  • Playable
    2. 
    Linear Data Preparation
    4m 47s
  • Locked
    3. 
    Creating Linear Models
    5m 39s
  • Locked
    4. 
    Interpreting Model Output
    4m 23s
  • Locked
    5. 
    Using Linear Prediction
    5m 39s
  • Locked
    6. 
    Logistic Data Preparation
    5m 37s
  • Locked
    7. 
    Using glm
    4m 19s
  • Locked
    8. 
    Exercise: Creating a Linear Model
    4m 41s

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