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Learner Reviews & Feedback for Linear Regression by Illinois Tech
15 ratings
About the Course
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.
This course is part of the Performance Based Admission courses for the Data Science program.
This course will focus on getting you acquainted with the basic ideas behind regression, it provides you with an overview of the basic techniques in regression such as simple and multiple linear regression, and the use of categorical variables.
Software Requirements: R
Upon successful completion of this course, you will be able to:
- Describe the assumptions of the linear regression models.
- Compute the least squares estimators using R.
- Describe the properties of the least squares estimators.
- Use R to fit a linear regression model to a given data set.
- Interpret and draw conclusions on the linear regression model.
- Use R to perform statistical inference based on the regression models.
Top reviews
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1 - 5 of 5 Reviews for Linear Regression
By Newton M
•Sep 27, 2023
Course Material is not easy to follow due. Seams the prof makes a lot assumptions. As i am using this cause for a masters I have to find supplemental material get good grasp. I hope my feedback will help to improve the course for other students
By Snehangshu R
•Sep 30, 2023
It is a good course, but I think the video lecture duration should be more.
By Zhanel S
•Jul 27, 2024
Excellent course! Professor Ong is great!
By themlnerdy
•May 12, 2024
The Course has good in-depth explanation on the different regression and assumptions
By Fabian K
•Nov 12, 2024
some questions in assessments do not have preceding information, e.g. outputs to answer them