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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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2,838 classificações
474 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

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.

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126 — 150 de {totalReviews} Avaliações para o Modelos Regressivos

por Carlos A C Z

Jan 15, 2018

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

por Raunak S

Nov 10, 2018

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

por Tai C M

Sep 26, 2017

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

por SATHYANARAYANAN S

Sep 11, 2017

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

por Vitalii S

Jul 20, 2017

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

por Joe B

Jan 30, 2016

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

por Jay S

Jul 29, 2016

Very informative and detailed explanation of how regression model works!

por Mayank C

Feb 25, 2016

Very comprehensive course for developing the basics of regression models

por Shubham S Y

Jun 26, 2017

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

por Kyle H

Apr 02, 2018

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

por N S N

Jan 02, 2018

Very Exciting Journey of learning and thoroughly enjoyed the course.

por Sabawoon S

Sep 12, 2017

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

por Rodrigo P

Aug 04, 2017

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

por Bojan B

Oct 14, 2018

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

por 陈颐欢

Jun 30, 2018

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

por Wesley E

Feb 15, 2016

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

por Amanyiraho R

Jan 13, 2020

Gives you the best understanding of the roots of regression models

por Illich M

Jun 16, 2017

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

por Ji, L 吉

Sep 28, 2016

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

por john c

Dec 11, 2016

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

por Charbel L

Aug 20, 2019

Very comprehensive introduction to regression models. Well done!

por Laro N P

Jun 19, 2018

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

por Shashikesh M

Jul 27, 2017

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

por Prakhar P

May 10, 2018

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

por Light0617

Dec 28, 2016

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