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Regression Models, Johns Hopkins University

4.4
Оценки: 2,304
Рецензии: 407

Об этом курсе

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....

Лучшие рецензии

автор: MM

Mar 13, 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.

автор: 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.

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Рецензии: 387

автор: Eric Yue

Dec 09, 2018

good course, nice teaching!

автор: David Robinson

Dec 05, 2018

Great course, well taught with very useful examples

автор: Shahryar Noei

Nov 29, 2018

The course is awfully simplified.

автор: Pedro Cadahia Delgado

Nov 15, 2018

Impressive! Very detailed in statistics and Mathematics, I would like an extensive course in logistic regression, it was short compared with lm course.

автор: Raunak Shakya

Nov 10, 2018

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

автор: Philip Mattocks

Nov 07, 2018

Excellent course

автор: Mohammad Abuarar

Nov 06, 2018

This course was a great as an intro to regression models, material was good but needs some update on the links, for the structure of topics it would be better if it was more coherent as many topics were covered randomly in different weeks like residuals.

Thanks for the instructor Brian Caffo for the good material and and clarification of concepts for a better understanding for students.

автор: David Shen

Nov 05, 2018

needed to consult external resources extensively

автор: Jesse Kreitzman

Nov 03, 2018

The material was a little disjointed and not always explained with examples. Passing this course required a significant amount of outside study and research.

автор: Terry L Jones

Nov 02, 2018

Good material and presentation