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Voltar para Modelos Regressivos

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

4.4
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3,188 classificações
536 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

MM
12 de Mar de 2018

Great course, very informative, with lots of valuable information and examples. Prof. Caffo and his team did a very good job in my opinion. I've found very useful the course material shared on github.

KA
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.

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151 — 175 de 516 Avaliações para o Modelos Regressivos

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 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.

por Charbel L

20 de Ago de 2019

Very comprehensive introduction to regression models. Well done!

por Laro N P

19 de Jun de 2018

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

por Shashikesh M

27 de Jul de 2017

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

por Nicholas T

29 de Jun de 2020

Great course!

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

por Prakhar P

10 de Mai de 2018

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

por Light0617

28 de Dez de 2016

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

por Enrique A M

4 de Out de 2020

Mil Gracias maestros, Maestro Roger, Mil Gracias Coursera.

por Winston P

10 de Nov de 2016

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

por Mario P

22 de Out de 2018

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