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Voltar para Modelos Regressivos

Comentários e feedback de alunos de Modelos Regressivos da instituição Universidade Johns Hopkins

3,263 classificações
561 avaliações

Sobre o curso

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....

Melhores avaliações

16 de Dez de 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.

31 de Jan de 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.

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151 — 175 de 542 Avaliações para o Modelos Regressivos

por Roberto D

21 de Jun de 2017

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

por Harris P

19 de Dez de 2016

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

por Erich F G

20 de Mar de 2018

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

por Carlos A C Z

15 de Jan de 2018

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

por Raunak S

10 de Nov de 2018

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

por Tai C M

26 de Set de 2017

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


10 de Set de 2017

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

por Vitalii S

20 de Jul de 2017

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

por Joe B

30 de Jan de 2016

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

por Jay S

29 de Jul de 2016

Very informative and detailed explanation of how regression model works!

por Mayank C

25 de Fev de 2016

Very comprehensive course for developing the basics of regression models

por Mateo C T

11 de Fev de 2021

Excellent course, gives the necessary inputs to start in this matter.

por Shubham S Y

26 de Jun de 2017

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

por Kyle H

2 de Abr de 2018

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

por N S N

2 de Jan de 2018

Very Exciting Journey of learning and thoroughly enjoyed the course.

por Sabawoon S

12 de Set de 2017

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

por Rodrigo P

3 de Ago de 2017

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

por Bojan B

14 de Out de 2018

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

por 陈颐欢

29 de Jun de 2018

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

por Wesley E

15 de Fev de 2016

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

por Ayushmaan D V

4 de Ago de 2020

This course serves as a great introduction to regression modelling

por Amanyiraho R

13 de Jan de 2020

Gives you the best understanding of the roots of regression models

por Illich M

15 de Jun de 2017

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

por Ji, L 吉

28 de Set de 2016

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

por john c

11 de Dez de 2016

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