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Opiniones y comentarios de aprendices correspondientes a modelos de regresión por parte de Universidad Johns Hopkins

4.4
estrellas
3,286 calificaciones
565 reseña

Acerca del Curso

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....

Principales reseñas

KA
16 de dic. de 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 de mar. de 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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176 - 200 de 546 revisiones para modelos de regresión

por Illich M

15 de jun. de 2017

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

por Ji, L 吉

28 de sep. de 2016

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

por john c

11 de dic. de 2016

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

por Charbel L

20 de ago. de 2019

Very comprehensive introduction to regression models. Well done!

por Laro N P

19 de jun. de 2018

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

por Shashikesh M

27 de jul. de 2017

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

por Nicholas T

29 de jun. de 2020

Great course!

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

por Prakhar P

10 de may. de 2018

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

por Jonathan S

4 de ago. de 2021

Very good course. Covered all the basics of regresson models

por Light0617

28 de dic. de 2016

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

por Enrique A M

4 de oct. de 2020

Mil Gracias maestros, Maestro Roger, Mil Gracias Coursera.

por Winston P

10 de nov. de 2016

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

por Mario P

22 de oct. de 2018

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

por Tine M

11 de may. de 2018

Definitely a difficult course but a very interesting one.

por Wei L

12 de oct. de 2017

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

por Changkeun K

11 de sep. de 2017

nice course. it requires knowledge of statistics a lot.

por Giovanni M C V

16 de feb. de 2016

Excellent course with great didactic. Congratulations!

por 李俊宏

4 de sep. de 2017

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

por Sidney d S P B

26 de dic. de 2020

The professor Brian Caffo is excelent and the best!

por David R

5 de dic. de 2018

Great course, well taught with very useful examples

por Javier E S

15 de jul. de 2018

Excellent course. Thank you Brian, Jeff and Roger.

por Jose F V G

23 de dic. de 2018

So far so good; key concepts explained in detail.

por Shivanand R K

21 de jun. de 2016

Great and Excellent thoughts and course material.

por Robert H

1 de dic. de 2015

A few glitches, but excellent like all the other

por Henrique d S A

26 de feb. de 2018

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