Regression Models に戻る

4.4

2,769件の評価

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466件のレビュー

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....

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.

Feb 01, 2017

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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by Henrique d S A

•Feb 27, 2018

Nice course it will help me a lot ! Thank you!

by Robert W S

•Nov 22, 2016

Excellent course. Might be difficult to get full value of information without prior exposure/background.

by Carlos R O

•Dec 26, 2016

Very Nice!

by Yi-Yang L

•May 10, 2017

Good

by Joe B

•Jan 30, 2016

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

by Pragya k

•May 22, 2017

Exceptional Learning!

by Andrew V

•May 15, 2017

Nicely presented and understandable course with a challenging an interesting project.

by Fernando M

•Sep 04, 2017

Love it

by Yubo Y

•Apr 03, 2016

concise, practical and straight forward

by Mikhail M

•Sep 11, 2016

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.

by Damien C

•Dec 06, 2016

Great ressources. Usefull presentations, maybe too rich for a newbie.

It was too fast for me. Could be done in 2x more time :/

by Shubham S Y

•Jun 26, 2017

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

by Light0617

•Dec 28, 2016

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

by Do H L

•Jun 17, 2016

This course gives a very thorough and rigorous treatment to the topic of regression models.

It teaches you how to derive from the ground, how regression models are made and how to interpret every information available through regression models.

Although the lectures are very lengthy and dry, the course offers a very rich well of information that is not readily available else where.

Thanks to Brian Caffo for the wealth of information about regression models taught through this course!

by Samy S

•Feb 25, 2016

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.

by Viditya T

•Mar 26, 2018

Nicely explained.

by Nathan M

•Jun 11, 2016

Quite useful!

by Erika G

•Jun 28, 2016

I had a lot of fun in this course. The exercises in the text and quizzes help me understand the concepts

by Dan K H

•Mar 03, 2017

Once again an excellent course, thank you!

by Shivanand R K

•Jun 21, 2016

Great and Excellent thoughts and course material.

by Emanuele M

•Aug 11, 2016

It's a great course and tought very well. It required effort, you apply many of previously teach concept and requires a lot of excercise

by Carlos A D V

•Jul 26, 2018

The best course of the Data Science Specilization until now and by far. Very practical and useful!

by Samer A

•Jul 10, 2018

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.

by Omar m m

•Sep 20, 2018

excellence

by Shashwat K

•Oct 15, 2018

goof course.