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學生對 约翰霍普金斯大学 提供的 回归模型 的評價和反饋

4.4
3,185 個評分
536 條評論

課程概述

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....

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MM
2018年3月12日

Great course, very informative, with lots of valuable information and examples. Prof. Caffo and his team did a very good job in my opinion. I've found very useful the course material shared on github.

KA
2017年12月16日

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.

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76 - 回归模型 的 100 個評論(共 516 個)

創建者 Elena C

2017年3月3日

A very intense course, where a lot of concepts are introduced. In order for all the new information to be metabolized, it took me much more than four weeks.

創建者 Pedro C D

2018年11月15日

Impressive! Very detailed in statistics and Mathematics, I would like an extensive course in logistic regression, it was short compared with lm course.

創建者 Maxim M

2017年12月10日

A very good course, goes deeply into the material. The pace of the professor is ok. It's nice that he uses some practical cases to explain the theory.

創建者 Jorge B S

2019年6月20日

I have loved this introductory course about Regression. The swirl exercises are especially useful to revise the course content and apply the theory.

創建者 20e

2018年8月6日

Helpful!

If there is more introduction about the common problems people may encounter during working in the real world, the course will be better!

創建者 Paul F G

2018年6月12日

Excellent, highly focused course with current R libraries for learning various regression methods and methodology. I highly recommend this course.

創建者 Juliusz G

2016年11月21日

Very practical/hands-on intro to regression models. You will definitely be able to apply those methods after this course whenever you need them.

創建者 Hernan D S P

2018年5月19日

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

創建者 Reza M

2020年6月21日

Excellent course on regression modelling it showcases the power of R. quite a heavy module though for people with none statistical background

創建者 Kumar G G

2017年5月1日

I think this is the best course I have ever came across in the coursera. Everything is discussed in the most simple manner with great depth.

創建者 Shivendra S

2017年3月4日

In-depth and detailed, this one month course will provide aspirants with the knowledge and skills required to conduct efficient regressions.

創建者 Lopamudra S

2017年11月30日

The Regression Models is an excellent course for a beginner.I would recommend the enthusiastic students for a great start in Data science.

創建者 Emanuele M

2016年8月11日

It's a great course and tought very well. It required effort, you apply many of previously teach concept and requires a lot of excercise

創建者 Abhinav G

2017年6月28日

Very Helpful course. I am from a non -stats background and this has helped me a lot in understanding such deep concepts of Statistics.

創建者 MEKIE Y R K

2019年5月2日

Really interesting and full of advices.

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

創建者 Matthew C

2017年11月20日

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

創建者 Sandra M

2016年10月9日

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

創建者 Damien C

2016年12月6日

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

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

創建者 Richard F

2017年6月17日

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

創建者 Connor B

2019年9月12日

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

創建者 Carlos B

2017年6月20日

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

創建者 Stefan S

2016年3月4日

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

創建者 Nino P

2019年5月24日

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

創建者 German R M S

2018年6月7日

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

創建者 Vitor P B

2020年10月25日

Very detailed and complete course with heavy theorical concepts which are all very useful for data science applications