Learner Reviews & Feedback for Regression Models by Johns Hopkins University
About the Course
subset of linear models, are the most important statistical analysis tool in a data scientist’s toolkit. This course covers regression analysis, least
squares and inference using regression models. Special cases of the regression model, ANOVA and ANCOVA will be covered as well. Analysis of
residuals and variability will be investigated. The course will cover modern thinking on model selection and novel uses of regression models
including scatterplot smoothing.
Top reviews
KA
Dec 16, 2017
Excellent course that is jam-packed with useful material! It is quite challenging and gives a thorough grounding in how to approach the process of selecting a linear regression model for a data set.
AC
Aug 10, 2017
Regression analysis is something that is kind of easy for people to understand (outcome and predictor - people get that!). It's easy to explain to people. So much practice using the lm function!
551 - 561 of 561 Reviews for Regression Models
By Arjun N
•Sep 22, 2020
Terrible. Lectures are useless and Questions are very hard. A lot of studying then comes from searching the internet, which nullifies the need of taking the course.
By Adnan B
•Aug 13, 2019
This is the whole course that kind of discouraged me persuing data science field... i wish i wish i wish there was different instructor
By satakarni b
•Nov 8, 2016
Not worth it for the bucks.
Instructor has tried his best to make no sense of the subject.
I would be happy for a refund.
By Ampolu M s
•Apr 24, 2023
i had completed all my grades whats the peoblem iam not geeting the certficate
By Stephen E
•Jun 27, 2016
To be honest I don't think this is worth the money.
By Yan L
•Dec 14, 2020
The instructor doesn't know how to teach.
By Dr. V
•Mar 19, 2025
Very boring delivery. A waste of time
By Shahryar N
•Nov 29, 2018
The course is awfully simplified.
By Sharon E
•Jul 21, 2020
Do not do this course!
By Vineet J
•Jul 30, 2017
not good tutor
By Abhishek K S
•Nov 3, 2022
dont take it