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学生对 Johns Hopkins University 提供的 Regression Models 的评价和反馈

4.4
3,370 个评分

课程概述

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....

热门审阅

KA

Dec 16, 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.

AC

Aug 10, 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!

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401 - Regression Models 的 425 个评论(共 562 个)

创建者 Andrea G

Jan 10, 2021

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

创建者 B S

Jul 2, 2018

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

创建者 Nigel M

Sep 18, 2017

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

创建者 Luiz E B J

Nov 26, 2019

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

创建者 Deleted A

Mar 11, 2019

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

创建者 Andrea S

Feb 25, 2017

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

创建者 Abrahan G U Ñ

Feb 10, 2016

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

创建者 Daniel J R

Dec 19, 2018

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

创建者 Ravi V

Oct 12, 2018

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

创建者 César A C

Feb 3, 2018

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

创建者 Scipione S

Jul 13, 2020

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

创建者 Marijus B

Apr 28, 2020

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

创建者 BIBHUTI B P

Jul 24, 2017

Wonderful experience of assimilating the techniques and tricks in this mod

创建者 Sudheer P

Dec 27, 2016

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

创建者 Koen V

Sep 23, 2019

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

创建者 Humberto R

Feb 13, 2018

Great course. My prefered so far in the data science specialization

创建者 Mingda W

Jun 5, 2018

Great, but need more examples and projects to practice the skills.

创建者 antonio q

Mar 21, 2018

to me the more challenging course, well done though, thanks a lot

创建者 Hariharan D

Sep 11, 2017

Intuitive course, liked it. Technical equations are challenging.

创建者 桂鹏

Jun 15, 2017

sufficient depth but explnation is not sufficient in many places

创建者 Piotr K

Oct 23, 2016

Sometimes videos were hard to understand, especially in week 3.

创建者 Frank O

Jul 11, 2021

Mathematically difficult topic for me, but very well conveyed

创建者 Alexandros A

Feb 8, 2016

I expected more in Binomial Regression and Poisson regression

创建者 Yiyang Z

Aug 24, 2019

Very informative, but could be more interesting and concise.

创建者 Manuel E

Jul 3, 2019

Hard class, documentation could be better, but good content.