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: MEKIE Y R K

•May 02, 2019

Really interesting and full of advices.

But would like to dig more into the Logistic and poisson regression residuals explanations :)

교육 기관: Matthew C

•Nov 21, 2017

Week 4 was a lot harder than the other weeks (specifically the quiz). Overall, a lot of great information packed into this month.

교육 기관: Sandra Y M B

•Oct 09, 2016

Everything you need to know to have a clear understanding of regression models and learn how to use their basic functions in R.

교육 기관: Damien C

•Dec 06, 2016

Great ressources. Usefull presentations, maybe too rich for a newbie.

It was too fast for me. Could be done in 2x more time :/

교육 기관: Richard F

•Jun 18, 2017

This is the most challenging course so far - new concepts, new approaches and application to a wide variety of situations.

교육 기관: Connor B

•Sep 12, 2019

Learned a lot and enjoyed the course project. Would like to have two course projects because I gain the most out of them.

교육 기관: Carlos M B B

•Jun 20, 2017

Thank you for the chance to review all the fundamental and applied mathematical and statistical aspects of data analysis.

교육 기관: Stefan S

•Mar 04, 2016

Not the easiest course, but very rewarding if you hang in there. The material is very well explained with ample examples.

교육 기관: Nino P

•May 24, 2019

Similarly to statistical inference, this is a bit harder course in the specialization. Still passable and recommendable.

교육 기관: German R M S

•Jun 07, 2018

Excelente curso, requiere de esfuerzo y dedicación, ademas de una solida base estadística. Práctico y de mucha utilidad.

교육 기관: Ekaterina S

•May 12, 2019

It was a very usefull course. It is a very good approach to the theme - the main essence without much math difficulty.

교육 기관: Ivana L

•Jan 30, 2016

One of the most valuable course in series. Also one of the hardest, expecially if you are newbie to regression models.

교육 기관: Marco B

•Dec 21, 2017

very useful! it provides both theoretical framework and practical skills!

it helped me improve my daily data analysis!

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: Joseph R

•Mar 03, 2016

A very well organized course with nice simple explanations and introductions into the world of regression models

교육 기관: Gregorio A A P

•Aug 26, 2017

Excellent, but I would be grateful if you could translate all your courses of absolute quality into Spanish.

교육 기관: marcelo G

•Aug 15, 2016

Outstanding material with different levels of difficulty and depth on the subject. Great source material.

교육 기관: Greg A

•Feb 22, 2018

I thought I understood regression, but this course help me gain new insights and really sharpen my skills

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

;)

교육 기관: Erika G

•Jun 28, 2016

I had a lot of fun in this course. The exercises in the text and quizzes help me understand the concepts

교육 기관: Carlos M

•Jul 11, 2017

I learned a lot of theory and practical applications of residuals. The swirl assignments were great too!

교육 기관: Robert W S

•Nov 22, 2016

Excellent course. Might be difficult to get full value of information without prior exposure/background.

교육 기관: André C L

•Dec 13, 2018

very good practical approach, with good theoretical coverage of most important principles of regression

교육 기관: Irene R

•Apr 24, 2018

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

교육 기관: Berthold J

•Jun 24, 2017

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