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.

您将学到什么
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.
您将获得的技能
要了解的详细信息

添加到您的领英档案
17 项作业
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- 获得可共享的职业证书

该课程共有4个模块
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!
涵盖的内容
15个视频11篇阅读材料8个作业1个讨论话题1个非评分实验室
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!
涵盖的内容
6个视频4篇阅读材料4个作业
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!
涵盖的内容
11个视频5篇阅读材料4个作业
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.
涵盖的内容
1个作业
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课程 是 Illinois Tech提供的以下学位课程的一部分。如果您被录取并注册,您已完成的课程可计入您的学位学习,您的学习进度也可随之转移。
位教师

人们为什么选择 Coursera 来帮助自己实现职业发展

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.
学生评论
- 5 stars
76.66%
- 4 stars
13.33%
- 3 stars
3.33%
- 2 stars
3.33%
- 1 star
3.33%
显示 3/30 个
已于 May 11, 2024审阅
The Course has good in-depth explanation on the different regression and assumptions
已于 Aug 16, 2025审阅
Excellent intro, gets the math-intuition-application ratio bang on.
已于 Sep 29, 2023审阅
It is a good course, but I think the video lecture duration should be more.
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