This course is best suited for individuals who have a technical background in mathematics/statistics/computer science/engineering pursuing a career change to jobs or industries that are data-driven such as finance, retain, tech, healthcare, government and many more. The opportunity is endless.
Linear Regression
Gain insight into a topic and learn the fundamentals.
4.6
(16 reviews)
Intermediate level
Recommended experience
27 hours to complete
3 weeks at 9 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Describe the assumptions of the linear regression models.
Use R to fit a linear regression model to a given data set.
Interpret and draw conclusions on the linear regression model.
Details to know
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Assessments
17 assignments
Taught in English
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There are 4 modules in this course
Welcome to Linear Regression! In this course, we will cover the following topics: Simple Linear Regression, Multiple Linear Regression, and Regression Models with Qualitative Predictors. In Module 1, we will focus on defining the problem and setting up the simple linear regression model. Additionally, you will be introduced to the least square method as well as performing statistical inferences and predictions using R. There is a lot to read, watch, and consume in this module so, let’s get started!
What's included
15 videos11 readings8 assignments1 discussion prompt1 ungraded lab
Welcome to Module 2 - Multiple linear Regression. This module will focus on deriving parameter estimation using matrices as well as using R to do prediction and inference. There is a lot to read, watch, and consume in this module so, let’s get started!
What's included
6 videos4 readings4 assignments
Welcome to Module 3 – Regression Models with Qualitative Predictors. This module will focus on setting up a linear regression model that involves qualitative predictors. Additionally, we will use R to help us perform statistical inferences and Predictions. There is a lot to read, watch, and consume in this module so, let’s get started!
What's included
11 videos5 readings4 assignments
This module contains the summative course assessment that has been designed to evaluate your understanding of the course material and assess your ability to apply the knowledge you have acquired throughout the course. Be sure to review the course material thoroughly before taking the assessment.
What's included
1 assignment
Instructor
Instructor ratings
4.5 (8 ratings)
Offered by
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4.6
16 reviews
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Showing 3 of 16
TT
4
Reviewed on May 11, 2024
The Course has good in-depth explanation on the different regression and assumptions
SR
5
Reviewed on Sep 29, 2023
It is a good course, but I think the video lecture duration should be more.
Recommended if you're interested in Data Science
University of Colorado Boulder
Northeastern University
CertNexus
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