Отзывы учащихся о курсе Регрессионные модели от партнера Университет Джонса Хопкинса
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KA
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.
DA
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!
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.
автор: BAUYRJAN J
•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.
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