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Introduction to Regression in R

Intermediate
4.6+
29 reviews
Updated 12/2024
Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.
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RProbability & Statistics4 hours14 videos52 exercises4,050 XP58,071Statement of Accomplishment

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Course Description

Linear regression and logistic regression are the two most widely used statistical models and act like master keys, unlocking the secrets hidden in datasets. In this course, you’ll gain the skills you need to fit simple linear and logistic regressions. Through hands-on exercises, you’ll explore the relationships between variables in real-world datasets, including motor insurance claims, Taiwan house prices, fish sizes, and more. By the end of this course, you’ll know how to make predictions from your data, quantify model performance, and diagnose problems with model fit.

Prerequisites

Introduction to Data Visualization with ggplot2Introduction to Statistics in R
1

Simple Linear Regression

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2

Predictions and model objects

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3

Assessing model fit

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4

Simple logistic regression

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Introduction to Regression in R
Course
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*4.6
from 29 reviews
76%
21%
0%
0%
3%
  • Bruce J.
    3 months

    Attactive and Sexiest course

  • Ruslan B.
    5 months

    That was awesome! However, I guess it needs more topics and videos to cover as well as exercises to help build confidence in learnt topics.

  • Lorenzo A.
    9 months

    Good

  • Louis B.
    11 months

    This covered the basics well. The instructor seemed interested in the material.

  • Edmundo M.
    about 1 year

    I am amazed of the ability of the instructor to pack fundamentals of regression, R and related packages (broom) in just four hours of instruction. This course if phenomenal.

"Attactive and Sexiest course"

Bruce J.

"That was awesome! However, I guess it needs more topics and videos to cover as well as exercises to help build confidence in learnt topics."

Ruslan B.

"Good"

Lorenzo A.

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