Regression Modeling in Practice

Regression Modeling in Practice

Cours
en
Anglais
20 h
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Source
  • Sur www.coursera.org
Conditions
  • À son rythme
  • Accès libre
  • Certificat payant
Plus d'informations
  • 4 séquences
  • Niveau Introductif

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Détails du cours

Déroulé

  • Week 1 - Introduction to Regression
    This session starts where the Data Analysis Tools course left off. This first set of videos provides you with some conceptual background about the major types of data you may work with, which will increase your competence in choosing the statistical analysis t...
  • Week 2 - Basics of Linear Regression
    In this session, we discuss more about the importance of testing for confounding, and provide examples of situations in which a confounding variable can explain the association between an explanatory and response variable. In addition, now that you have statis...
  • Week 3 - Multiple Regression
    Multiple regression analysis is tool that allows you to expand on your research question, and conduct a more rigorous test of the association between your explanatory and response variable by adding additional quantitative and/or categorical explanatory variab...
  • Week 4 - Logistic Regression
    In this session, we will discuss some things that you should keep in mind as you continue to use data analysis in the future. We will also teach also you how to test a categorical explanatory variable with more than two categories in a multiple regression anal...

Prérequis

Aucun.

Intervenants

Jen Rose
Research Professor
Psychology

Lisa Dierker
Professor
Psychology

Éditeur

At Wesleyan, distinguished scholar-teachers work closely with students, taking advantage of fluidity among disciplines to explore the world with a variety of tools. The university seeks to build a diverse, energetic community of students, faculty, and staff who think critically and creatively and who value independence of mind and generosity of spirit.

Plateforme

Coursera est une entreprise numérique proposant des formations en ligne ouverte à tous fondée par les professeurs d'informatique Andrew Ng et Daphne Koller de l'université Stanford, située à Mountain View, Californie.

Ce qui la différencie le plus des autres plateformes MOOC, c'est qu'elle travaille qu'avec les meilleures universités et organisations mondiales et diffuse leurs contenus sur le web.

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