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Avis et commentaires pour d'étudiants pour Modèles de régression par Université Johns-Hopkins

4.4
étoiles
3,306 évaluations
567 avis

À propos du cours

Linear models, as their name implies, relates an outcome to a set of predictors of interest using linear assumptions. Regression models, a 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....

Meilleurs avis

KA

16 déc. 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.

DA

10 mars 2019

This module was the maximum. I learned how powerful the use of Regression Models techniques in Data Science analysis is. I thank Professor Brian Caffo for sharing his knowledge with us. Thank you!

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151 - 175 sur 548 Avis pour Modèles de régression

par Sergio A

31 déc. 2017

We learn some basic econometrics in this class and how to do basic regression mdels

par Sandhya A

2 juin 2018

Learned a lot about various regression model, concept like fitting and overfitting

par Christian H

22 août 2017

Great course; practical introduction to regression models at the university level.

par Roberto D

21 juin 2017

Concepts explained and illustrated very well to understand how variables differ.

par Harris P

19 déc. 2016

Was tough but thoroughly had fun completing it. Its a cleverly designed course.

par Erich F G

20 mars 2018

Challenging course. Brought back memories of graduate school in the early 90s

par Carlos A C Z

15 janv. 2018

This was a good course. I learn a lot making the final Project of the course

par Raunak S

10 nov. 2018

a very good course before digging deeper into Data Science advanced topics.

par Zhiming

26 sept. 2017

This course is not as tough as the statistics class. Easier to understand.

par SATHYANARAYANAN S

10 sept. 2017

Very good for anyone wanting to get into the field of Data Science using R

par Vitalii S

20 juil. 2017

I liked this course, but I would like that last task be more complicated.

par Joe B

30 janv. 2016

Great course with a thorough introduction to regression and linear model.

par Jay S

29 juil. 2016

Very informative and detailed explanation of how regression model works!

par Mayank C

25 févr. 2016

Very comprehensive course for developing the basics of regression models

par Mateo C T

11 févr. 2021

Excellent course, gives the necessary inputs to start in this matter.

par Shubham S Y

26 juin 2017

Good for clearing out your basic Regression doubts and that too in R!

par Kyle H

2 avr. 2018

A great, quick treatment of the major touch points of linear models.

par N S N

2 janv. 2018

Very Exciting Journey of learning and thoroughly enjoyed the course.

par Sabawoon S

12 sept. 2017

Excellent course, it could be improved with more practical examples.

par Rodrigo P

3 août 2017

Very interesting topics and discussions, but not easy to understand.

par Bojan B

14 oct. 2018

Great course with great materials. Easy to understand and to learn.

par 陈颐欢

29 juin 2018

Basic idea about regression , it's very useful for beginner like me

par Wesley E

15 févr. 2016

Great introduction and plenty of resources for more in depth study.

par Ayushmaan D V

4 août 2020

This course serves as a great introduction to regression modelling

par Amanyiraho R

13 janv. 2020

Gives you the best understanding of the roots of regression models