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

4.4
étoiles
3,203 évaluations
540 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.

BA
31 janv. 2017

It really helped me to have a better understanding of these Regression Models. However, I've noticed that there is a video recording repeated: Week 3, Model Selection. Part 3 is included in Part 2.

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151 - 175 sur 520 Avis pour Modèles de régression

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

par Illich M

15 juin 2017

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

par Ji, L 吉

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 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!