学员评论和反馈 Regression Models

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关于本课程

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.

精选评论

5.0评论日期：Aug 1, 2017

Great introductory course on Regression Models. Super practical and well explained. Definitely doing the exercises and final project is a must to get all the learnings!

5.0评论日期：Oct 15, 2017

It is very interesting, however is difficult to follow the math explanations, it could be more easy with practical examples.... like the final assignment, it was difficult to me.

5.0评论日期：Jan 3, 2022

One Star for the Video Lecture, One star for the free E-book, one star for the swirl lesson and two star for the video solutions of the exercises from the ebook (posted in youtube). Thank you.

5.0评论日期：Apr 25, 2021

I have been involved with regression models for a long time.I was amazed on the capabilities that have been developed in R. I think that an open Source software is the way to build knowledge

4.0评论日期：Apr 19, 2018

Good course, worth taking. It points out the importance of looking deeper into the world of regression models and creates right mindset and anchors for future development.

5.0评论日期：Feb 13, 2018

I learned a lot through this course! It's not easy, and there's a lot of technical details that required me to watch the videos 2-3 times through to have a proper grasp, but super helpful stuff!

5.0评论日期：Feb 28, 2017

This course has been the most difficult in the Dara Science track so far, but you get a more in depth knowledge in data analysis and interpretation based on statistical models.

5.0评论日期：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!

5.0评论日期：Feb 28, 2016

The course content was very brief and well structured, Regression being a rather vast topic demands a lot more time. 4 weeks seemed a bit less! Overall satisfied by what the course offered.

5.0评论日期：Oct 6, 2016

Excellent overview of a very broad and complex topic with plenty of useful applications within R. The course project does an outstanding job at teaching the pitfalls of omitted variable bias.

5.0评论日期：Mar 14, 2017

Good course on the theories behind regression, followed by significant applications and how to use them in R. Lectures are very dry, but the information within them is very useful.

5.0评论日期：Jan 3, 2018

The best course in my mind, but I am chocked about how Data Science people approach regression type of problems, it is almost 100% data mining and no theory!! I wonder where it will take us..