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Modèles de régression , Université Johns-Hopkins

4.4
2,418 notes
417 avis

À propos de ce cours

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....

Meilleurs avis

par 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.

par 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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398 avis

par David J Bauer

Feb 19, 2019

Probably the most conceptually challenging and practically useful course in the JH data science certification series (so far... I have a few more courses to complete).

par Vibhutesh Kumar Singh

Feb 09, 2019

Nice outline for regression models.

par João Freire

Feb 06, 2019

Excellent but difficult course. Complex concepts are well presented but it still requires many hours of studying. The topics taught are essential to anyone working or aspiring to work in the field of Data Science.

par Sanjeev Kumar

Feb 02, 2019

Great Course well designed

par sneha

Jan 23, 2019

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

par Raul Martinez

Jan 16, 2019

This course should be targeted for Data Scientists, in my opinion it is more for statisticians.

Too much about the insight of statistics and some but not enough about how to use the statistic tools.

par Antonio Vivi

Jan 09, 2019

very good course

par Alzum Shahadat Miazee

Jan 08, 2019

Very much thank you for teaching me such an awesome course

par Jose Fernando V Giron

Dec 23, 2018

So far so good; key concepts explained in detail.

par Daniel J. Rodriguez

Dec 19, 2018

Quite practical. It does encourage one to follow-up with a more advanced course.