# 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
3,263 個評分
561 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....

## 熱門審閱

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.

BA
2017年1月31日

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.

## 376 - 回归模型 的 400 個評論（共 542 個）

2017年4月27日

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

2018年3月19日

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

2019年5月15日

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

2018年6月12日

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

2017年9月13日

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

Content is great though!

2017年8月15日

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

2018年8月18日

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

2016年2月29日

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

2017年7月9日

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

2016年4月7日

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

2021年1月10日

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

2018年7月2日

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

2017年9月18日

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

2019年11月26日

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

2019年3月11日

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

2017年2月25日

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

2016年2月10日

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

2018年12月19日

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

2018年10月12日

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

2018年2月3日

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

2020年7月14日

I suggest to revie some videos. There is some repetition, especially in week 3.

2020年4月28日

swirl exercises needs to be fixed, could not complete it because of the bug

2017年7月24日

Wonderful experience of assimilating the techniques and tricks in this mod

2016年12月28日

This is a great course. The content clearly explains the regression model.

2019年9月23日

The explanation of the right answers from the quiz were quite handy!