# 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.

## 401 - 回归模型 的 425 個評論（共 542 個）

2018年2月13日

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

2018年6月5日

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

2018年3月21日

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

2017年9月11日

Intuitive course, liked it. Technical equations are challenging.

2017年6月15日

sufficient depth but explnation is not sufficient in many places

2016年10月23日

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

2021年7月12日

Mathematically difficult topic for me, but very well conveyed

2016年2月8日

I expected more in Binomial Regression and Poisson regression

2019年8月24日

Very informative, but could be more interesting and concise.

2019年7月3日

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

2019年1月8日

Very much thank you for teaching me such an awesome course

2018年9月13日

This is a very nice course provided you study a lot for it

2017年8月7日

Knowledge on Statistics will help in better understanding.

2017年10月16日

some complicated contents that are hard to fully grasp.

2017年2月8日

Content regarding variable selection is kind of rough.

2017年3月14日

Great introduction to regression models. Pretty clear

2016年10月26日

prerequisites are very mandatory to do this course

2018年6月9日

It lacked practical application, not impressed.

2017年1月14日

A little monotonous sometimes. Otherwise good.

2017年12月18日

I found SWIRL more helpful than the lectures.

2018年10月1日

The lectures were a bit complex and lengthy.

2018年1月16日

2017年10月3日

Easy way to understand Regression.

2017年5月18日