Chevron Left
Retour à Modèles de régression

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

4.4
étoiles
3,307 évaluations

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!

Filtrer par :

176 - 200 sur 549 Avis pour Modèles de régression

par Illich M

15 juin 2017

Tough course! I had to take it a couple of times to understand it.

par JI 吉 力

28 sept. 2016

I really learned some useful knowledge and codes from this course!

par John C

11 déc. 2016

Hard but rewarding work that I think is perfect for Data Science.

par Charbel L

20 août 2019

Very comprehensive introduction to regression models. Well done!

par Laro N P

19 juin 2018

More examples and exercises wil be better but is a great course.

par Shashikesh M

27 juil. 2017

One of the most required skill set in the field of data science.

par Nicholas T

29 juin 2020

Great course!

Lot's of effort put in by the lecturers. Thank you

par Prakhar P

10 mai 2018

The concepts are explained in a very concise and crisp manner.

par Jonathan S

4 août 2021

Very good course. Covered all the basics of regresson models

par Light0617

28 déc. 2016

great courses!!! very practical but no a lot of mathemetics

par Enrique A M

4 oct. 2020

Mil Gracias maestros, Maestro Roger, Mil Gracias Coursera.

par Winston P

10 nov. 2016

Good course! Prof Caffo is very clear in his explanations!

par Mario P

22 oct. 2018

I would like to thank all of you for this excellent work!

par Tine M

11 mai 2018

Definitely a difficult course but a very interesting one.

par Wei L

12 oct. 2017

A lot of good info. Some of them is a little hard to me

par Changkeun K

11 sept. 2017

nice course. it requires knowledge of statistics a lot.

par Giovanni M C V

16 févr. 2016

Excellent course with great didactic. Congratulations!

par 李俊宏

4 sept. 2017

I like Brian Caffo's lectures. He is genius and calm

par Sidney d S P B

26 déc. 2020

The professor Brian Caffo is excelent and the best!

par David R

5 déc. 2018

Great course, well taught with very useful examples

par Javier E S

15 juil. 2018

Excellent course. Thank you Brian, Jeff and Roger.

par Jose F V

23 déc. 2018

So far so good; key concepts explained in detail.

par Shivanand R K

21 juin 2016

Great and Excellent thoughts and course material.

par Robert H

1 déc. 2015

A few glitches, but excellent like all the other

par Henrique d S A

26 févr. 2018

Nice course it will help me a lot ! Thank you!