Chevron Left
返回到 Regression Models

Regression Models, Johns Hopkins University

4.4
2,312 个评分
408 个审阅

课程信息

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

创建者 MM

Mar 13, 2018

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.

创建者 KA

Dec 17, 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.

筛选依据:

388 个审阅

创建者 André Caetano Luna

Dec 13, 2018

very good practical approach, with good theoretical coverage of most important principles of regression

创建者 Eric Yue

Dec 09, 2018

good course, nice teaching!

创建者 David Robinson

Dec 05, 2018

Great course, well taught with very useful examples

创建者 Shahryar Noei

Nov 29, 2018

The course is awfully simplified.

创建者 Pedro Cadahia Delgado

Nov 15, 2018

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

创建者 Raunak Shakya

Nov 10, 2018

a very good course before digging deeper into Data Science advanced topics.

创建者 Philip Mattocks

Nov 07, 2018

Excellent course

创建者 Mohammad Abuarar

Nov 06, 2018

This course was a great as an intro to regression models, material was good but needs some update on the links, for the structure of topics it would be better if it was more coherent as many topics were covered randomly in different weeks like residuals.

Thanks for the instructor Brian Caffo for the good material and and clarification of concepts for a better understanding for students.

创建者 David Shen

Nov 05, 2018

needed to consult external resources extensively

创建者 Jesse Kreitzman

Nov 03, 2018

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