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Volver a modelos de regresión

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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126 - 150 de 546 revisiones para modelos de regresión

por Irene R

23 de abr. de 2018

Very good course, i learnt a lot. Looking forward to take more advanced courses on regression models.

por Berthold J

24 de jun. de 2017

Very good lecture and also decent level of difficulties that requires to think/read additional stuff.

por Ewa W

9 de mar. de 2017

Very Challenging Course

Very well presented

Great material/source of information for study

Loved It !

por hyunwoo j

16 de mar. de 2016

easy to understand and full of new idea about using R.

especially 'manipulate' package is very useful

por Thomas A

12 de oct. de 2019

A good review of regression that allows the student to apply practical implementations in R Studio

por Сетдеков К Р

30 de sep. de 2019

It was rather hard and time consuming, but I learned a lot about poisson and binomial regressions.

por Carlos A D V

26 de jul. de 2018

The best course of the Data Science Specilization until now and by far. Very practical and useful!

por Ahmed M K

20 de jun. de 2017

One of the best courses on Coursera for sure. Thank you so much. Regression has never been easier.

por MUZAFFAR B H -

14 de oct. de 2017

A very good data analysis course, highly useful for quantitative method and empirical findings.

por Laura N M

27 de ago. de 2020

The course present a good overview for linear models, including the generalized linear models.

por Ignacio O

30 de jul. de 2018

Excellent course!

I learned a lot of techniques and understood the basics of Regression Models.

por Guilherme B F

22 de mar. de 2018

Really good. Easy to follow and great even if you just need a refresher in regression models.

por Arcenis R

18 de ene. de 2016

This course is packed with great lessons and Prof. Caffo puts it all together very cogently.

por ric j n

6 de ago. de 2017

The course is comprehensive in its presentation. Ideas can be easily grasp and replicated.

por Georgios P

7 de mar. de 2019

Great course for beginners, but definitely not for people with no mathematical background!

por sneha

23 de ene. de 2019

Amazing course ! finally I have learned how to implement regression in real world analysis

por Carlos A R C

23 de sep. de 2020

Excellent course. Best of all the Data Science specialization. Good, very good professor.

por Bruno R S

4 de mar. de 2019

A deep review on linear, logistic and regression models. The critical tool for modelling.

por Walter T

8 de dic. de 2016

A well defined learning path to understand the fundation of machine learning techniques.

por Purificación V

13 de nov. de 2019

Es un gran curso para aprender, junto con el resto de los cursos de la especialización.

por Channaveer P

12 de oct. de 2019

Amazing course... good learning experience. Very useful for my role in my Organization.

por Juan P L R

26 de nov. de 2020

Great introduction to regression models, and its application in R. Highly recommended.

por Andrew V

14 de may. de 2017

Nicely presented and understandable course with a challenging an interesting project.

por BAUYRJAN J

31 de ene. de 2017

Excellent course, but you have to use other materials from different courses as well.

por Johan V M

9 de ago. de 2020

Excellent course! I am totally looking forward to learn a lot more on this subject.