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Regression Modeling in Practice, Wesleyan University

4.3
225 classificações
43 avaliações

Informações sobre o curso

This course focuses on one of the most important tools in your data analysis arsenal: regression analysis. Using either SAS or Python, you will begin with linear regression and then learn how to adapt when two variables do not present a clear linear relationship. You will examine multiple predictors of your outcome and be able to identify confounding variables, which can tell a more compelling story about your results. You will learn the assumptions underlying regression analysis, how to interpret regression coefficients, and how to use regression diagnostic plots and other tools to evaluate the quality of your regression model. Throughout the course, you will share with others the regression models you have developed and the stories they tell you....

Melhores avaliações

por VM

Mar 07, 2017

Awesome course. More than regression generation, they have explained in details about how to interpret regression coefficients and results and how to make conclusions. 5 Stars

por PC

Nov 28, 2016

This was a great course. I've done a few in the area of stats, regression and machine learning now and the Wesleyan ones are the most well-rounded of all of them

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39 avaliações

por Ruben Dario Suing Paccha

Jun 29, 2018

Great classes. You need all of the content to manage data.

por Γεώργιος Κίμινος

Jun 22, 2018

Many useful and must to know things. I am not satisfied by the explanations to difficult tasks that need further understanding and deepness. Anyway I am glad to have taken that course, it offered knowledge to me. In fact I recommend it to those that have heard of regression and need supportive material.

por Dina Ibrahim

Nov 03, 2017

It needs hard work and a lot of practicing :)

por Amin Fadaee

Aug 08, 2017

This specialization was great up to this course! All the content are reviewed superficially and it seems the instructors are just trying to teach recipes and there is no intuitive explanations, especially on multiple regression and the tests for evaluating it.

por Aneeshaa S Chowdhry

Jul 31, 2017

course could've had more depth. expected explanation on more data scenarios. for example, logistic regression when the explanatory variables are quantitative.

even interpretation of output. course is too brief. barely gives you an introduction to the subject.

por Glenn Berg

Jun 07, 2017

really enjoyed it

por Gopisankar M G

Apr 02, 2017

great course , a must for all science students

por bourges

Mar 02, 2017

Very clear and documented videos, ability to choose between two différents statistical software: python and sas

por kwangje.baeg

Jan 09, 2017

Background Sound is awesome haha

por Jinbo Cao

Jan 08, 2017

easy to follow