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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
3,307 個評分

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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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.

DA

2019年3月10日

This module was the maximum. I learned how powerful the use of Regression Models techniques in Data Science analysis is. I thank Professor Brian Caffo for sharing his knowledge with us. Thank you!

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476 - 回归模型 的 500 個評論(共 549 個)

創建者 Raul M

2019年1月16日

This course should be targeted for Data Scientists, in my opinion it is more for statisticians.

Too much about the insight of statistics and some but not enough about how to use the statistic tools.

創建者 Ben S

2018年6月20日

A good (although slightly frustrating) course, attempted once but had to come back after studying the material in class, quite a heavy course if you've not been taught regression before

創建者 Guilherme B D J

2016年8月21日

Given the importance of this subject, this course should have been split in two or more or have a longer duration to properly address subjects as GLM or model selection techniques.

創建者 Marco A M A

2016年5月9日

This course is better than Statistical Inference, and I think it is as useful. Non credit excersise are still very good at helping with understanding in practice what is going on.

創建者 Rok B

2019年6月28日

Useful class, but the content often simple in nature was explained in a confusing/complicated way. But the material is important and there is purchase for taking the class

創建者 Daniela R L

2021年4月19日

These videos are better than the previous ones in this specialization but it gets too repetitive and long and boring. The swirl activities are the way to go!

創建者 Jesse K

2018年11月2日

The material was a little disjointed and not always explained with examples. Passing this course required a significant amount of outside study and research.

創建者 Jason M C

2016年3月29日

This is a decent class, covering linear regression and a few of its variants in good detail. It's a challenging subject, but presented acceptably here.

創建者 Anamaria A

2017年3月12日

Lots of material needs additional study (from different sources) as it's only summarily explained. Much math without the link to the praxis :-(

創建者 Manuel M M

2020年2月10日

The content was exposed in a very confused manner. I did not like how the teacher explained. It seemed more difficult than it really is

創建者 LU Z

2018年9月26日

Starting from the first week swirl practice, course content is poorly organized making even simple concept difficult to understand.

創建者 Hendrik F

2016年1月17日

I find it very tough to understand everything. Buying the course book helps to overcome this. You have to dedicate a lot of time.

創建者 Mark S

2018年4月24日

Lots of math, but it would be more productive to focus more on the output of R and better understand the results

創建者 Mertz

2018年3月20日

Bad audio and video quality. Too fast on some complex ideas and too slow when come repetitions between videos...

創建者 Andres C S

2016年3月1日

I think this course needs more emphasis on practical applications and less mathematical background.

創建者 Erwin V

2016年12月20日

Very interesting course, yet course content could be spread more evenly (week 4 is really a lot)

創建者 Prabeeti B

2019年9月17日

Course has more theoretical concept than application.. It has to be more application based

創建者 Praveen J

2020年4月22日

I think a revamping of the concepts in a more ellabroate way is required in the course

創建者 Suleman W

2017年11月9日

I did find it difficult to follow and understand some of the materials.

創建者 Rafal K

2017年2月28日

Many things are not clear enough in multivariable regression part.

創建者 Eric L

2016年2月2日

good quick overview, could have more actual R examples in lectures

創建者 Ansh T

2020年3月22日

Topics like logistic regression were not explained clearly

創建者 Angela W

2017年11月27日

I learned a lot, but it was so much content for 4 weeks!

創建者 Gareth S

2017年7月16日

Expects a level of statistical knowledge already.

創建者 David S

2018年11月4日

needed to consult external resources extensively