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Вернуться к Регрессионные модели

Отзывы учащихся о курсе Регрессионные модели от партнера Университет Джонса Хопкинса

Оценки: 3,306
Рецензии: 567

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


16 дек. 2017 г.

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.


10 мар. 2019 г.

This module was the maximum. I learned how powerful the use of Regression Models techniques in Data Science analysis is. I thank Professor Brian Caffo for sharing his knowledge with us. Thank you!

Фильтр по:

126–150 из 548 отзывов о курсе Регрессионные модели

автор: Irene R

23 апр. 2018 г.

Very good course, i learnt a lot. Looking forward to take more advanced courses on regression models.

автор: Berthold J

24 июня 2017 г.

Very good lecture and also decent level of difficulties that requires to think/read additional stuff.

автор: Ewa W

9 мар. 2017 г.

Very Challenging Course

Very well presented

Great material/source of information for study

Loved It !

автор: hyunwoo j

16 мар. 2016 г.

easy to understand and full of new idea about using R.

especially 'manipulate' package is very useful

автор: Thomas A

12 окт. 2019 г.

A good review of regression that allows the student to apply practical implementations in R Studio

автор: Сетдеков К Р

30 сент. 2019 г.

It was rather hard and time consuming, but I learned a lot about poisson and binomial regressions.

автор: Carlos A D V

26 июля 2018 г.

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

автор: Ahmed M S K

20 июня 2017 г.

One of the best courses on Coursera for sure. Thank you so much. Regression has never been easier.

автор: MUZAFFAR B H -

14 окт. 2017 г.

A very good data analysis course, highly useful for quantitative method and empirical findings.

автор: Laura N M

27 авг. 2020 г.

The course present a good overview for linear models, including the generalized linear models.

автор: Ignacio O

30 июля 2018 г.

Excellent course!

I learned a lot of techniques and understood the basics of Regression Models.

автор: Guilherme B F

22 мар. 2018 г.

Really good. Easy to follow and great even if you just need a refresher in regression models.

автор: Arcenis R

18 янв. 2016 г.

This course is packed with great lessons and Prof. Caffo puts it all together very cogently.

автор: Ric J A N

6 авг. 2017 г.

The course is comprehensive in its presentation. Ideas can be easily grasp and replicated.

автор: Georgios P

7 мар. 2019 г.

Great course for beginners, but definitely not for people with no mathematical background!

автор: sneha

23 янв. 2019 г.

Amazing course ! finally I have learned how to implement regression in real world analysis

автор: Carlos A R C

23 сент. 2020 г.

Excellent course. Best of all the Data Science specialization. Good, very good professor.

автор: Bruno R S

4 мар. 2019 г.

A deep review on linear, logistic and regression models. The critical tool for modelling.

автор: Walter T

8 дек. 2016 г.

A well defined learning path to understand the fundation of machine learning techniques.

автор: Purificación V

13 нояб. 2019 г.

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

автор: Channaveer P

12 окт. 2019 г.

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

автор: Juan P L R

26 нояб. 2020 г.

Great introduction to regression models, and its application in R. Highly recommended.

автор: Andrew V

14 мая 2017 г.

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


31 янв. 2017 г.

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

автор: Johan V M

9 авг. 2020 г.

Excellent course! I am totally looking forward to learn a lot more on this subject.