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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
3,203 個評分
540 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....

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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.

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51 - 回归模型 的 75 個評論(共 520 個)

創建者 Sai S S

2017年7月9日

Thanks much. Good course. Would have loved a tougher final project (eg. using logistic regression). How about adding two variants for all final projects - 1. lots of things to do vs. 2. more technically complex ?

創建者 Marco C

2018年4月24日

I studied Regression Models in other courses, but only now I feel I'm in the matter. Thanks to the Instructor for the really good explanation and especially for the ability to convey the passion for Statistics.

創建者 Mikhail M

2016年9月10日

Extremely useful and exciting. Everything from previous modules fall in places and you may see some practical implementations from the course. By the way R is awesome!

Many thanks to faculty, you do a great job.

創建者 Samer A

2018年7月10日

Great Course. Brian Caffo has a way to explain regression without sinking deep into hard math. You obviously need to walk the extra mile and search for yourself, but the course definitely gives you the map.

創建者 Massimo M

2018年3月13日

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.

創建者 Kristin A

2017年12月17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.

創建者 Keidzh S

2018年7月3日

Strong and effective course. Completely makes better my math skilss. Thank you Brian Caffo and other masters for this course. Looking forward to start tne next course from John Hopkins University.

創建者 Alexis C

2017年8月11日

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!

創建者 Ivan Y

2018年2月14日

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!

創建者 Alán G

2019年5月28日

It is an excellent initial approach to Regression Models. I was able to apply some of the models in my work. Further analysis of the mathematical and statistical theory is highly recommended.

創建者 Camilla J

2018年1月4日

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..

創建者 Lowell R

2016年10月7日

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.

創建者 Sanjeev I

2016年2月29日

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.

創建者 Vinicio D S

2018年4月23日

Great course to get the basics on Linear Models and Inference. Great Introduction to Logistic Regression and Poisson Regression. Good emphasis in Diagnostics of the main assumptions

創建者 Steven C

2017年3月15日

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.

創建者 Boris K

2019年10月29日

Along with the Statistical Inference Class and Building Predictive Models Class this is one of the best in this Specialization. It is reasonably tough, well-taught, overall great.

創建者 Yadder A

2019年3月27日

The course was incredible. You can learn a lot of skills about regression models and even more. It would be incredible if the course could have more examples or little excercises.

創建者 Juan V

2017年10月16日

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.

創建者 Andretti

2017年3月1日

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.

創建者 Daniel C J

2017年8月2日

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!

創建者 Sindre F

2016年8月1日

Interesting and important course!

I don't think this course is suitable for beginners. You need to know this stuff before you take the course. Works well as a refresher.

創建者 Aisha H

2016年2月2日

Loved the course and the content. Only critique is that I would have liked to have a lecture about transformations, and interpretation of transformed data coefficients.

創建者 Connor G

2017年9月18日

Extremely valuable content to my pursuit of a career in data science. This, paired with the Machine Learning, are giving me great insights into predictive analytics.

創建者 Ioannis B

2017年8月1日

Exceptional course for the subject of Regression. You can really understand the foundations and build on it with R. Congratulations to the instructors and the team.

創建者 Samy S

2016年2月25日

Good introduction to the usefulness and traps of linear models. By the way, having the teacher filmed for the lectures does provide a more engaging experience.