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....

Dec 17, 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.

Feb 01, 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.

필터링 기준:

교육 기관: Sanjeev I

•Feb 29, 2016

The course content was very brief and well structured, Regression being a rather vast topic demands a lot more time. 4 weeks seemed a bit less! Overall satisfied by what the course offered.

교육 기관: Nilrey J D C

•Oct 29, 2017

Very concise and informative. This gives me a good review in my college statistics regression subjects

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교육 기관: Chris

•Dec 22, 2017

good class.

교육 기관: Ivan Y

•Feb 14, 2018

I learned a lot through this course! It's not easy, and there's a lot of technical details that required me to watch the videos 2-3 times through to have a proper grasp, but super helpful stuff!

교육 기관: Wei L

•Oct 12, 2017

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

교육 기관: Florian

•Jul 03, 2016

Fantastic course with great visualizations

교육 기관: Efejiro A

•Jul 02, 2018

A bit fast paced but excellent delivery.

교육 기관: Sai K G

•Feb 01, 2016

Course teaches basics of regression in R

교육 기관: Joerg H

•Feb 25, 2017

This course is great, if you want to get into it. This was the first time I have been exposed to linear and generalized linear regression. I was overwhelmed by so much information and knowledge that I needed extra time to understand and to bring the pieces from week 1 to week 4 together.

The peer reviews weren't (in my case) not very helpful. I missed concrete feedback on my approach and the result. I would have appreciated some kind of assurance that the achieved results are of quality and on the level of data scientist.

교육 기관: hyunwoo j

•Mar 16, 2016

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

especially 'manipulate' package is very useful

교육 기관: Ahmed M K

•Jun 20, 2017

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

교육 기관: Alexis C

•Aug 11, 2017

Regression analysis is something that is kind of easy for people to understand (outcome and predictor - people get that!). It's easy to explain to people. So much practice using the lm function!

교육 기관: Venkatesh

•Jul 08, 2017

Very useful

교육 기관: Ioannis B

•Aug 01, 2017

Exceptional course for the subject of Regression. You can really understand the foundations and build on it with R. Congratulations to the instructors and the team.

교육 기관: weitinglin

•Oct 28, 2016

nice and practical class! I think if provide some recommend reading may create more deeper insight in regression

교육 기관: ric j n

•Aug 06, 2017

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

교육 기관: Kai W P

•Nov 05, 2016

Very good.

교육 기관: Charles-Antoine d T

•Oct 29, 2017

amazing

교육 기관: Jaime A

•Oct 12, 2016

Very well thought-out!

교육 기관: Francisco J D d S F G

•Nov 03, 2016

Love the whole course approach on the importance of linear models and how one should interpret them to get a better grasp of the data one possesses - one should definitely take the statistical inference course before attempting this course beforehand.

교육 기관: Anang H M A

•Nov 21, 2017

Great course.

교육 기관: Walter T

•Dec 08, 2016

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

교육 기관: Hernan D S P

•May 19, 2018

This course is perfect to get started with Regression Models in R! I think you would need some familiarity with the statistical concept though.

교육 기관: Winston P

•Nov 10, 2016

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

교육 기관: Lakshman Y

•Jul 18, 2017

This is a fantastic course for new learners of regression models. I have seen so many courses which charges more money but the content and rich knowledge JHU has shared here is great. I highly recommend new people for this course