Welcome to the Advanced Linear Models for Data Science Class 1: Least Squares. 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:
Este curso forma parte de Programa especializado: Advanced Statistics for Data Science
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Prueba Coursera para negociosHabilidades que obtendrás
- Statistics
- Linear Regression
- R Programming
- Linear Algebra
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 3 de 4 en
Nivel avanzado
Aprox. 8 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Italiano, Vietnamita, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish)
¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?
Prueba Coursera para negocios
ofrecido por
Universidad Johns Hopkins
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.
Programa - Qué aprenderás en este curso
2 horas para completar
Background
We cover some basic matrix algebra results that we will need throughout the class. This includes some basic vector derivatives. In addition, we cover some some basic uses of matrices to create summary statistics from data. This includes calculating and subtracting means from observations (centering) as well as calculating the variance.
2 horas para completar
7 videos (Total 28 minutos), 4 lecturas, 1 cuestionario
1 hora para completar
One and two parameter regression
In this module, we cover the basics of regression through the origin and linear regression. Regression through the origin is an interesting case, as one can build up all of multivariate regression with it.
1 hora para completar
6 videos (Total 29 minutos), 2 lecturas, 1 cuestionario
1 hora para completar
Linear regression
In this lecture, we focus on linear regression, the most standard technique for investigating unconfounded linear relationships.
1 hora para completar
8 videos (Total 23 minutos), 2 lecturas, 1 cuestionario
1 hora para completar
General least squares
We now move on to general least squares where an arbitrary full rank design matrix is fit to a vector outcome.
1 hora para completar
6 videos (Total 39 minutos), 1 lectura, 1 cuestionario
Reseñas
- 5 stars60,23 %
- 4 stars26,90 %
- 3 stars8,18 %
- 2 stars3,50 %
- 1 star1,16 %
Principales reseñas sobre ADVANCED LINEAR MODELS FOR DATA SCIENCE 1: LEAST SQUARES
por YG24 de jul. de 2020
Great refresher of linear algebra
understood many things about linear models that I just knew superficially from its cores
por JA8 de sep. de 2020
This is an excellent course that enabled me to understand how multiple regression in linear models works behind the hood. The practical examples shown by the professor were very helpful. Thank you
por RM23 de feb. de 2017
Hard Topic, You must take all the basics in multivariate statistical analysis first.
por DL7 de jun. de 2016
We need more advanced, theoretical courses on Coursera, like this one, in order to deeply understand the more general courses like Regression Models and Linear Models.
Acerca de Programa especializado: Advanced Statistics for Data Science
Fundamental concepts in probability, statistics and linear models are primary building blocks for data science work. Learners aspiring to become biostatisticians and data scientists will benefit from the foundational knowledge being offered in this specialization. It will enable the learner to understand the behind-the-scenes mechanism of key modeling tools in data science, like least squares and linear regression.
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