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존스홉킨스대학교의 Regression Models 학습자 리뷰 및 피드백

4.4
별점
3,026개의 평가
507개의 리뷰

강좌 소개

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....

최상위 리뷰

KA

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.

BA

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.

필터링 기준:

Regression Models의 488개 리뷰 중 151~175

교육 기관: Rodrigo P

Aug 04, 2017

Very interesting topics and discussions, but not easy to understand.

교육 기관: Bojan B

Oct 14, 2018

Great course with great materials. Easy to understand and to learn.

교육 기관: 陈颐欢

Jun 30, 2018

Basic idea about regression , it's very useful for beginner like me

교육 기관: Wesley E

Feb 15, 2016

Great introduction and plenty of resources for more in depth study.

교육 기관: Ayushmaan D V

Aug 04, 2020

This course serves as a great introduction to regression modelling

교육 기관: Amanyiraho R

Jan 13, 2020

Gives you the best understanding of the roots of regression models

교육 기관: Illich M

Jun 16, 2017

Tough course! I had to take it a couple of times to understand it.

교육 기관: Ji, L 吉

Sep 28, 2016

I really learned some useful knowledge and codes from this course!

교육 기관: john c

Dec 11, 2016

Hard but rewarding work that I think is perfect for Data Science.

교육 기관: Charbel L

Aug 20, 2019

Very comprehensive introduction to regression models. Well done!

교육 기관: Laro N P

Jun 19, 2018

More examples and exercises wil be better but is a great course.

교육 기관: Shashikesh M

Jul 27, 2017

One of the most required skill set in the field of data science.

교육 기관: Nicholas T

Jun 29, 2020

Great course!

Lot's of effort put in by the lecturers. Thank you

교육 기관: Prakhar P

May 10, 2018

The concepts are explained in a very concise and crisp manner.

교육 기관: Light0617

Dec 28, 2016

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

교육 기관: Winston P

Nov 10, 2016

Good course! Prof Caffo is very clear in his explanations!

교육 기관: Mario P

Oct 22, 2018

I would like to thank all of you for this excellent work!

교육 기관: Tine M

May 11, 2018

Definitely a difficult course but a very interesting one.

교육 기관: Wei L

Oct 12, 2017

A lot of good info. Some of them is a little hard to me

교육 기관: Changkeun K

Sep 11, 2017

nice course. it requires knowledge of statistics a lot.

교육 기관: Giovanni M C V

Feb 16, 2016

Excellent course with great didactic. Congratulations!

교육 기관: 李俊宏

Sep 04, 2017

I like Brian Caffo's lectures. He is genius and calm

교육 기관: David R

Dec 05, 2018

Great course, well taught with very useful examples

교육 기관: Javier E S

Jul 16, 2018

Excellent course. Thank you Brian, Jeff and Roger.

교육 기관: Jose F V G

Dec 23, 2018

So far so good; key concepts explained in detail.