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Отзывы учащихся о курсе Регрессионные модели от партнера Университет Джонса Хопкинса

4.4
звезд
Оценки: 2,929
Рецензии: 492

О курсе

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....

Лучшие рецензии

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.

Фильтр по:

126–150 из 473 отзывов о курсе Регрессионные модели

автор: Purificación V

Nov 13, 2019

Es un gran curso para aprender, junto con el resto de los cursos de la especialización.

автор: Channaveer P

Oct 12, 2019

Amazing course... good learning experience. Very useful for my role in my Organization.

автор: Andrew V

May 15, 2017

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

автор: BAUYRJAN J

Feb 01, 2017

Excellent course, but you have to use other materials from different courses as well.

автор: Sergio A

Dec 31, 2017

We learn some basic econometrics in this class and how to do basic regression mdels

автор: Sandhya A

Jun 02, 2018

Learned a lot about various regression model, concept like fitting and overfitting

автор: Christian H

Aug 23, 2017

Great course; practical introduction to regression models at the university level.

автор: Roberto D

Jun 21, 2017

Concepts explained and illustrated very well to understand how variables differ.

автор: Harris P

Dec 19, 2016

Was tough but thoroughly had fun completing it. Its a cleverly designed course.

автор: Erich F G

Mar 20, 2018

Challenging course. Brought back memories of graduate school in the early 90s

автор: Carlos A C Z

Jan 15, 2018

This was a good course. I learn a lot making the final Project of the course

автор: Raunak S

Nov 10, 2018

a very good course before digging deeper into Data Science advanced topics.

автор: Tai C M

Sep 26, 2017

This course is not as tough as the statistics class. Easier to understand.

автор: SATHYANARAYANAN S

Sep 11, 2017

Very good for anyone wanting to get into the field of Data Science using R

автор: Vitalii S

Jul 20, 2017

I liked this course, but I would like that last task be more complicated.

автор: Joe B

Jan 30, 2016

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

автор: Jay S

Jul 29, 2016

Very informative and detailed explanation of how regression model works!

автор: Mayank C

Feb 25, 2016

Very comprehensive course for developing the basics of regression models

автор: Shubham S Y

Jun 26, 2017

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

автор: Kyle H

Apr 02, 2018

A great, quick treatment of the major touch points of linear models.

автор: N S N

Jan 02, 2018

Very Exciting Journey of learning and thoroughly enjoyed the course.

автор: Sabawoon S

Sep 12, 2017

Excellent course, it could be improved with more practical examples.

автор: Rodrigo P

Aug 04, 2017

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

автор: Bojan B

Oct 14, 2018

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

автор: 陈颐欢

Jun 30, 2018

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