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

4.7
étoiles
1,098 évaluations
190 avis

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

PK

May 24, 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.

RZ

May 25, 2019

I feel I'm running out of complement words for this course series. In conclusion, clear teaching, helpful project, and knowledgeable classmates that I can learn from through final project.

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26 - 50 sur 187 Avis pour Linear Regression and Modeling

par Marcus S

Jun 21, 2018

This was the first course where I started noticing that I'm really learning and was able to apply some of the earned knowledge at work.Totally recommended.

par Amanda B

Nov 28, 2017

Great course! I've already taken a similar stats course using SPSS and this course was an excellent refresher, while increasing my familiarity with R.

par Hao.Xue

Jul 04, 2017

wonderful module! easy to understand. the labs are extremely helpful which enables you to have a good command of practicing linear regression with R

par Charles C

Dec 22, 2018

The course provides good insights for linear regression. Also, I think the professors are intended to statistics and its application in real life.

par Hanyue Z

Oct 02, 2016

The structure of this course is really good. The slides demonstrates everything clearly. The speed that the instructor talks is good too.

par Bruno R d C S

Jan 20, 2018

One of the most useful of the series, can be valuable as a standalone course on Regression and Correlation. It is also very accessible.

par David W

Jun 06, 2017

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

par Shao Y ( H

Nov 27, 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

Mar 21, 2018

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

par Pedro G F M

Nov 22, 2018

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

par Lakshmi m

May 19, 2018

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

par Daniel C J

Jan 07, 2019

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

par Lilian O

May 10, 2018

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

par Nishit P

Jan 22, 2017

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

par Arun I

Aug 17, 2017

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

par Kevin L

Jul 15, 2017

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

par PRIYANKA D

Jan 08, 2019

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

par Jennifer K

Nov 20, 2017

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

par 郝崇皓

Apr 01, 2018

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

par Marina C R

Jul 19, 2017

Very interesting, I have learned a lot and I have been able to apply it to the final project

par Cosma A

Feb 14, 2018

Great work Mine Çetinkaya-Rundel, I liked the wrapping of the course and way of teaching .

par Andrew L

May 25, 2017

Very nice introduction to regression techniques and helpful labs on how to implement in R.

par Shibin T

Jul 25, 2017

Very short and concise, and minimal theory related content. Very practical crash course.

par Joseph K

Jan 24, 2017

The lessons from this course are very useful, and I will be able to apply them for work.

par Michael O T

Nov 20, 2019

It is a course with an excelent level, it is well evaluated and one can to learn a lot.