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

4.4
étoiles
3,232 évaluations
550 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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351 - 375 sur 531 Avis pour Modèles de régression

par Jim M

23 juil. 2020

Content is excellent and in depth. Structure could be better to present materials in a more organized fashion, particularly on how all the concepts and tools relate, and complex results interpretation.

par Andrew W

20 févr. 2018

Great subject, was a bit frustrated with some of the material (seemed rushed and not well prepared). Great assignment, but too restrictive on the max number of pages allowed. Wasted a lot of time.

par Diego C

4 mai 2019

Very good course. Though basic, it provides you with the first tools and knowledge. The forums aren't what they used to be it seems, but you can find almost any answer there from past courses.

par Andrew W

5 avr. 2018

Very good at presenting basic concepts. I highly reccomend saving the quiz questions as a good guide as to what you should know. I wish there were more material on generalized linear models.

par Arturo M K

10 déc. 2016

I was hoping to learn about PROBIT models. I know they are very similar to LOGIT ones, but still... the pace is a little bit too fast and I think it requires more time than what it says.

par Bill K

10 févr. 2016

This was a tough class covering a lot of material. The last week on logistic regression completely lost me. If you're new to stats like me you might want to take it more than once.

par Manny R

22 mars 2019

Really Fun Course. There is a lot to learn in this topic and this could be studied for a lifetime. I feel like I could apply this to discover solutions for issues at work.

par Vlad V

20 avr. 2018

Good course, worth taking. It points out the importance of looking deeper into the world of regression models and creates right mindset and anchors for future development.

par Samirou T

26 mai 2018

I appreciate coefficients interpretation and variance influence to choose among models.

Running code takes a few seconds, understanding the model's outputs is a much hard

par David J B

19 févr. 2019

Probably the most conceptually challenging and practically useful course in the JH data science certification series (so far... I have a few more courses to complete).

par Fernando L B d M

29 sept. 2017

This time the professor Brian Caffo was more helpfull, explained better the concepts, and sometimes repeated some of the most important information... Good course!

par Nora M

1 déc. 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.

par Roopak M

10 sept. 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.

par Polina

29 juin 2018

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

par Martina H

19 août 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.

par Talant R

24 oct. 2016

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

was little hard to keep with the deadline.

par Jim B

27 avr. 2017

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

par Mohamed T

19 mars 2018

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

par Andrew

15 mai 2019

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

par Pieter v d V

12 juin 2018

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

par Federico A V R

13 sept. 2017

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

Content is great though!

par Brian F

15 août 2017

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

par Chonlatit P

18 août 2018

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

par Shakti P S

29 févr. 2016

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

par Freddie K

9 juil. 2017

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