Linear Regression and Modeling に戻る

4.7

1,076件の評価

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186件のレビュー

This course introduces simple and multiple linear regression models. These models allow you to assess the relationship between variables in a data set and a continuous response variable. Is there a relationship between the physical attractiveness of a professor and their student evaluation scores? Can we predict the test score for a child based on certain characteristics of his or her mother? In this course, you will learn the fundamental theory behind linear regression and, through data examples, learn to fit, examine, and utilize regression models to examine relationships between multiple variables, using the free statistical software R and RStudio....

May 24, 2017

Very good course taught by Dr. Mine who is as always a very good teacher. The videos are very eloquent and easy to understand. Highly recommend it if you are looking for a basic refresher course.

May 25, 2019

I feel I'm running out of complement words for this course series. In conclusion, clear teaching, helpful project, and knowledgeable classmates that I can learn from through final project.

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by Abiodun B

•Dec 10, 2016

this course is thorough and indepth

by Shaima M S

•Jul 27, 2016

Clear explanation of concepts

by Ann N

•Aug 02, 2017

I truly enjoyed this course. It's one of the most useful and easier to understand than the rest. Could use more samples and information on how to deal with Categorical Data though.

Final Project is a full-time job. 1-week while working full-time is hardly enough time.

by Marc J

•Oct 22, 2016

Very interesting course. I recommand it

by Minas-Marios V

•Mar 01, 2017

As with the previous courses on this Specialiazation, the instructor makes the difference. With detailed examples, clear explanations and a very handy supplementary e-book provided for free, this is a must course for everyone wanting to learn Statistics. Highly recommended!

by andy d

•Aug 16, 2016

Does a good job of explain a complicated topic in a very simple and understandable way

by Yi Y

•Jan 09, 2018

easy to understand

by Rony S

•Mar 04, 2018

Extremely Informative Course.

by Benjamin G

•May 13, 2017

All the secret of linear regression are revealed in this course!

by 郝崇皓

•Apr 01, 2018

great course, it help me better understand some concepts. But the content is kind of short.

by José M C

•Mar 22, 2017

Very useful.

by Amanda B

•Nov 28, 2017

Great course! I've already taken a similar stats course using SPSS and this course was an excellent refresher, while increasing my familiarity with R.

by Agustin G

•Oct 01, 2017

Excelent !!!

by Shibin T

•Jul 25, 2017

Very short and concise, and minimal theory related content. Very practical crash course.

by Lakshmi m

•May 19, 2018

Great learning experience 😊 learnt how to Build efficient models by keeping in mind so many statistical techniques

by Theo A

•Dec 21, 2017

Good course.

by Ji, C

•Oct 12, 2017

The lab work is pretty well-designed. I've learnt a lot from it! Great!

by Adam A

•Jul 17, 2017

Very useful for my job, excellent as a foundational course in regression

by 张馨元

•Nov 09, 2017

practical and useful

by Janio A M

•Aug 04, 2018

Great work! Really intuitive and helpful for regression cases.

by Md H U

•Aug 16, 2018

How I loved this course! Elegantly taught and lots of learning :)

by Jaime R

•Nov 08, 2018

Very useful and practical

by Anne B

•Oct 29, 2018

This course was very challenging. I learn a lot with the model we have to find and it is very interesting to note other students. None of us found the same results. For me, it is very strange not to know at the end what are the good results. It seems that you change the subject overtime. Do you send the correction?

It will be nice to know if we reasoned correctly.

by Julian A S

•Nov 04, 2018

I enjoyed this course. It was quick, but I learned a lot! I thought the assignments were well-thought-out, and the custom R package for the course was a nice touch.

by Pedro G F M

•Nov 22, 2018

Great course! as a suggestion I Believe Duke should publish new courses on other prediction tools (like SVM, for example)