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

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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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376 - 400 de 548 revisiones para modelos de regresión

por Nora M

1 de dic. de 2017

Good course for basic regression. Would have enjoyed more time spent on properly interpreting results and how they are relevant to answering business questions.

por Roopak M

10 de sep. de 2018

Nice course that helps make your foundations in regression modelling strong. The complexity of the course project can be increased to a more difficult level.

por Polina

29 de jun. de 2018

This course is a practical introduction to the regression models. Materials and organization are great, however slides and presentations require some work.

por Martina H

19 de ago. de 2016

Good course. My only negative remark is that I really missed the swirl exercises that were available for the other courses of this specialization.

por Talant R

24 de oct. de 2016

Great course to learn various regression models and "R" tools to implement them efficiently, but

was little hard to keep with the deadline.

por Jim B

27 de abr. de 2017

Some lab work (swirl()) did not match the material presentation order. Essential coursework delivered at a blistering pace. Good Stuff.

por Mohamed T

19 de mar. de 2018

Great course, learned a lot. The only point is that I was hoping to learn more about general linear models and its applications.

por Andrew

15 de may. de 2019

Great introduction to regression models. A ton packed into the class. Be ready to be challenged, but you'll learn a lot.

por Pieter v d V

12 de jun. de 2018

Useful information about regression models, but to really understand the math you have to do a lot of googling yourself.

por Federico A V R

13 de sep. de 2017

Would love to see more hands on practical explanations rather tan mostly slides.

Content is great though!

por Brian F

15 de ago. de 2017

This a challenging course, overall I think it was good, but the material could be a bit better presented.

por Chonlatit P

18 de ago. de 2018

Love this course. teach me to understand Linear Regression more, especially swirl class is great.

por Shakti P S

29 de feb. de 2016

Good course. Prof. Caffo is a great teacher! Hope to see an advanced version of RegMods soon!

por Freddie K

9 de jul. de 2017

Really good! All the pieces from the previous courses start to come together into a whole.

por Billy J

7 de abr. de 2016

Videos were very difficult to follow along with. Overall, I learned a good amount though.

por Andrea G

10 de ene. de 2021

A very good and comprehensive introduction to Regression Models with practical exercises.

por B S

2 de jul. de 2018

Nice course. It would however be better to include a summary how to approach an analysis.

por Nigel M

18 de sep. de 2017

Good introduction to regressions and the process of applying regression analysis to data.

por Luiz E B J

26 de nov. de 2019

The content is to long, maybe would be interesting split the content in other modules.

por Deleted A

11 de mar. de 2019

Great course, but please check those subtitles that are occasionally completely off!

por Andrea S

25 de feb. de 2017

Very good material but often too fragmentend/messy. The notes would need re-writing.

por Abrahan G U Ñ

10 de feb. de 2016

It is a great introductory course into Regression analysis. I highly recommend it!

por Daniel J R

19 de dic. de 2018

Quite practical. It does encourage one to follow-up with a more advanced course.

por Ravi V

12 de oct. de 2018

Overall a good course. But I was expecting more in depth covering of the topics.

por César A C

3 de feb. de 2018

Un curso bastante completo, aunque un pondría más ejemplos en la sección de GLM.