Chevron Left
Retour à Linear Regression and Modeling

Avis et commentaires pour d'étudiants pour Linear Regression and Modeling par Université Duke

1,590 évaluations

À propos du cours

This course introduces simple and multiple linear regression models. These models allow you to assess the relationship between variables in a data set and a continuous response variable. Is there a relationship between the physical attractiveness of a professor and their student evaluation scores? Can we predict the test score for a child based on certain characteristics of his or her mother? In this course, you will learn the fundamental theory behind linear regression and, through data examples, learn to fit, examine, and utilize regression models to examine relationships between multiple variables, using the free statistical software R and RStudio....

Meilleurs avis


21 juil. 2020

A great primer on linear regression with labs that help to establish understanding and a project that is focused enough not to be overwhelming, and allows the learner to play around with the concepts


23 mai 2017

Very good course taught by Dr. Mine who is as always a very good teacher. The videos are very eloquent and easy to understand. Highly recommend it if you are looking for a basic refresher course.

Filtrer par :

51 - 75 sur 296 Avis pour Linear Regression and Modeling

par Deepak S

11 janv. 2021

Very helpful for beginners and those refreshing their statistical skills alive. Thank you for this course and problem statements.

par David W

6 juin 2017

The Professor is a clear communicator and has a flair for finding interesting and engaging examples to illustrate the concepts.

par Amarendra S

23 avr. 2020

Excellent course, wonderfully organised and in-depth yet simplistic explanation technique makes understanding regression easy.

par Shao Y ( H

27 nov. 2017

Nice course. Comparing this course with the second and fourth ones in the specialization, this is a rather light-weighted one.

par Andrea P

21 mars 2018

Very interesting course and well taught!! Advice to everybody also if you have not much previous experience with regression.

par Pedro M

22 nov. 2018

Great course! as a suggestion I Believe Duke should publish new courses on other prediction tools (like SVM, for example)

par ASLI B A

14 juil. 2022

A​s a medical student, I found the course highly enlightening. With R practice, every week's course was taught me well.

par Lakshmi m

19 mai 2018

Great learning experience 😊 learnt how to Build efficient models by keeping in mind so many statistical techniques

par artur a d p

16 avr. 2022

I really recomend this course! It was very important to my carreer evaluating buildings prices (real state appraisal).

par Aditya G

28 mai 2020

This Module/course was very good. I have learnt many concepts which will be helpful while learning machine learning.

par Gaurav J

18 oct. 2020

It covers all the basics of linear regression and creates a strong base for studying logistic, poisson regression.

par Daniel C J

7 janv. 2019

A great intro to linear regression, both from theoretical and practical point of view. Really enjoyed the course!

par Lilian O

10 mai 2018

The course has enabled me to grasp the concepts on linear regression and how to conduct a statistical analysis.

par Nishit P

22 janv. 2017

Excellent course and content for the beginners. I certainly learned a lot from this course. a Big Thank You!!!

par Elaina K

21 juin 2022

Good overview of LR and MLR - strong on basic principles, assumptions and a relatively simple applications.

par Arun I

17 août 2017

Loved the course; content, exercises and the final assignment we very good. Loved the instructor's energy!!


5 août 2021

It is a very friendly course and requires you to learn and understand the methods, I highly recommend it

par Michael S

14 févr. 2021

Very good course that teaches you the theory behind regression analysis and how to implement is using R.

par Kevin L

15 juil. 2017

Good, detailed course on linear regression and how to perform statistic inference on the coefficients.


8 janv. 2019

Exceptionally helpful for beginners due to perfect combination of theoretical and practical sessions.

par Jennifer K

20 nov. 2017

This was a very straightforward and thorough class with clear material that was logically structured.

par amoulay

21 juin 2021

Excellent course and excellent teaching. Lots of techniques to learn for regression and modeling.

par Gor S

23 mars 2020

The course is very beneficial both in terms of learning regression modeling and R programming.

par Juan R

14 avr. 2021

I loved the course, and I am loving the specialization. I have acquired important knowledge.

par 郝崇皓

31 mars 2018

great course, it help me better understand some concepts. But the content is kind of short.