Advanced Linear Models for Data Science 2: Statistical Linear Models
link Source : www.coursera.org
list 4 séquences
assignment Niveau : Avancé
chat_bubble_outline Langue : Anglais
card_giftcard 56 points
Logo My Mooc Business

Ils choisissent Edflex pour développer les compétences en entreprise.

En savoir plus
Avis de la communauté
-
starstarstarstarstar
Voir l'avis

Les infos clés

credit_card Formation gratuite
verified_user Certification payante
timer 4 heures de cours

En résumé

Welcome to the Advanced Linear Models for Data Science Class 2: Statistical Linear Models. This class is an introduction to least squares from a linear algebraic and mathematical perspective. Before beginning the class make sure that you have the following: - A basic understanding of linear algebra and multivariate calculus. - A basic understanding of statistics and regression models. - At least a little familiarity with proof based mathematics. - Basic knowledge of the R programming language. After taking this course, students will have a firm foundation in a linear algebraic treatment of regression modeling. This will greatly augment applied data scientists' general understanding of regression models.

more_horiz Lire plus
more_horiz Lire moins
dns

Le programme

  • Week 1 - Introduction and expected values
    In this module, we cover the basics of the course as well as the prerequisites. We then cover the basics of expected values for multivariate vectors. We conclude with the moment properties of the ordinary least squares estimates.
  • Week 2 - The multivariate normal distribution
    In this module, we build up the multivariate and singular normal distribution by starting with iid normals.
  • Week 3 - Distributional results
    In this module, we build the basic distributional results that we see in multivariable regression.
  • Week 4 - Residuals
    In this module we will revisit residuals and consider their distributional results. We also consider the so-called PRESS residuals and show how they can be calculated without re-fitting the model.
record_voice_over

Les intervenants

Brian Caffo, PhD
Professor, Biostatistics
Bloomberg School of Public Health

store

Le concepteur

Johns Hopkins University
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
assistant

La plateforme

Coursera

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.

Vous êtes le concepteur de ce MOOC ?
Quelle note donnez-vous à cette ressource ?
Contenu
5/5
Plateforme
5/5
Animation
5/5