Voltar para Modelos Regressivos

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477 avaliações

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....

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.

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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por Eva W

•Mar 09, 2017

Very Challenging Course

Very well presented

Great material/source of information for study

Loved It !

por hyunwoo j

•Mar 16, 2016

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

especially 'manipulate' package is very useful

por Dr. T A

•Oct 12, 2019

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

por Сетдеков К Р

•Sep 30, 2019

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

por Carlos A D V

•Jul 26, 2018

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

por Ahmed M K

•Jun 20, 2017

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

por Muzaffar H

•Oct 14, 2017

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

por Ignacio O

•Jul 30, 2018

Excellent course!

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

por Guilherme B F

•Mar 22, 2018

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

por Arcenis R

•Jan 18, 2016

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

por ric j n

•Aug 06, 2017

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

por Georgios P

•Mar 07, 2019

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

por sneha

•Jan 23, 2019

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

por Bruno R d C S

•Mar 05, 2019

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

por Walter T

•Dec 08, 2016

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

por Purificación V

•Nov 13, 2019

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

por Channaveer P

•Oct 12, 2019

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

por Andrew V

•May 15, 2017

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

por BAUYRJAN J

•Feb 01, 2017

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

por Sergio A

•Dec 31, 2017

We learn some basic econometrics in this class and how to do basic regression mdels

por Sandhya A

•Jun 02, 2018

Learned a lot about various regression model, concept like fitting and overfitting

por Christian H

•Aug 23, 2017

Great course; practical introduction to regression models at the university level.

por Roberto D

•Jun 21, 2017

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

por Harris P

•Dec 19, 2016

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

por Erich F G

•Mar 20, 2018

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