Avis et commentaires pour d'étudiants pour Linear Regression and Modeling par Université Duke
À propos du cours
Meilleurs avis
PK
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.
RZ
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.
126 - 150 sur 186 Avis pour Linear Regression and Modeling
par Aidi B
•Aug 12, 2018
Great Lesson!
par Luo Y
•May 30, 2018
Very helpful!
par Ricardo B
•Nov 08, 2017
Great course.
par Tian Z
•Oct 11, 2017
Very helpful!
par fanjieqi
•Feb 01, 2018
Pretty Good!
par Theo A
•Dec 21, 2017
Good course.
par Agustin G
•Oct 01, 2017
Excelent !!!
par José M C
•Mar 22, 2017
Very useful.
par Kuntal G
•Oct 27, 2016
Great Course
par Eduardo M
•Aug 14, 2019
Excellent!
par Md N I S
•Dec 07, 2019
Worth it!
par gerardo r g
•Jul 10, 2019
Excellent
par BillyLin
•Aug 07, 2016
很棒 学到很多东西
par Bouquegneau
•Oct 10, 2017
perfect
par Byeong-eok K
•Jul 13, 2017
Great.
par Gencay I
•Jan 03, 2019
10/10
par Robert
•Nov 23, 2018
/
par Yu Y
•Oct 27, 2016
.
par Neeraj P
•Feb 08, 2017
First, this course will enable me to understand the quantitative part of a research. Additionally, this will help a student to understand the essence of performing such numerical calculations and will make us understand the relationship between different variables.
Secondly, this is the need of the hour and such numerical functions are used worldwide so, learning this course will help in almost every field be it 'Management' be it 'Social Sciences' or be it 'Human Behaviour'.
par Veliko D
•Oct 20, 2019
The course is good and the material is presented clearly. The capstone project is very good and makes you really use all the knowledge obtained in the course and the pre-prequisite course Inferral Statistics. My only dissatisfaction is that the course was rather short: only 3 weeks of material and 1 capstone. Therefor it covered less material then I expected. For example, I expected logistic regression to be covered.
par Saif U K
•Jul 20, 2016
An extremely good introductory course. A must for undergraduates. The style of teaching is fluid and you learn concepts step by step. For more advanced learners the only drawback I see is that this is, by default, an introductory course.But still for advanced learners it can be a great (and I really mean great) refresher.
par Artur A B
•May 10, 2017
The material is very straightforward and gives a great introduction to multiple linear regression. My only reservation is the length of the course, which seems to be a bit shorter than other courses in the certification. Would love to have more material/in-depth exposure to components available to us in R.
par Aaradhya G
•Jan 07, 2020
Again, Dr. Mine Cetinkaya Rundel is amazing. However, linear regression is a vast topic, and maybe another week could have been better. But nonetheless, the concepts explained herein are crystal clear, succinct, and taught in an engaging manner.
par Sean T
•Jul 04, 2018
Really enjoyed this course! It teaches you the theory you need to understand how a linear regression model works, how to check that your model fulfils certain conditions so that it is valid, and how to build and implement your model in practice!
par Richard N B A
•Nov 09, 2016
Great introduction to linear regression. Nice, clean R tutorials via the labs. The lectures do become a little monotonous, but there there are linked readings in a nice, open-source textbook if reading suits you better than listening.