Chevron Left
返回到 Regression Models

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!

筛选依据:

176 - Regression Models 的 200 个评论(共 562 个)

创建者 Arcenis R

Jan 18, 2016

This course is packed with great lessons and Prof. Caffo puts it all together very cogently.

创建者 Walter T

Dec 8, 2016

A well defined learning path to understand the fundation of machine learning techniques.

创建者 Joe B

Jan 30, 2016

Great course with a thorough introduction to regression and linear model.

创建者 Mayank C

Feb 25, 2016

Very comprehensive course for developing the basics of regression models

创建者 Shubham S Y

Jun 26, 2017

Good for clearing out your basic Regression doubts and that too in R!

创建者 Kyle H

Apr 2, 2018

A great, quick treatment of the major touch points of linear models.

创建者 John C

Dec 11, 2016

Hard but rewarding work that I think is perfect for Data Science.

创建者 Charbel L

Aug 20, 2019

Very comprehensive introduction to regression models. Well done!

创建者 Laro N

Jun 18, 2018

More examples and exercises wil be better but is a great course.

创建者 Shashikesh M

Jul 27, 2017

One of the most required skill set in the field of data science.

创建者 Nicholas T

Jun 29, 2020

Great course!

Lot's of effort put in by the lecturers. Thank you

创建者 Prakhar P

May 10, 2018

The concepts are explained in a very concise and crisp manner.

创建者 Jonathan S

Aug 4, 2021

Very good course. Covered all the basics of regresson models

创建者 Light0617

Dec 28, 2016

great courses!!! very practical but no a lot of mathemetics

创建者 Enrique A

Oct 4, 2020

Mil Gracias maestros, Maestro Roger, Mil Gracias Coursera.

创建者 Winston P

Nov 10, 2016

Good course! Prof Caffo is very clear in his explanations!

创建者 Mario P

Oct 22, 2018

I would like to thank all of you for this excellent work!

创建者 Tine M

May 11, 2018

Definitely a difficult course but a very interesting one.

创建者 Wei L

Oct 11, 2017

A lot of good info. Some of them is a little hard to me

创建者 Changkeun K

Sep 10, 2017

nice course. it requires knowledge of statistics a lot.

创建者 Giovanni M C V

Feb 16, 2016

Excellent course with great didactic. Congratulations!

创建者 李俊宏

Sep 4, 2017

I like Brian Caffo's lectures. He is genius and calm

创建者 Sidney d S P B

Dec 26, 2020

The professor Brian Caffo is excelent and the best!

创建者 David R

Dec 5, 2018

Great course, well taught with very useful examples

创建者 Javier E S

Jul 15, 2018

Excellent course. Thank you Brian, Jeff and Roger.