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 faz parte do Programa de cursos integrados Advanced Statistics for Data Science
oferecido por
Informações sobre o curso
Habilidades que você terá
- Statistics
- Linear Regression
- R Programming
- Linear Algebra
oferecido por

Universidade 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 - O que você aprenderá com este curso
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.
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.
Linear regression
In this lecture, we focus on linear regression, the most standard technique for investigating unconfounded linear relationships.
General least squares
We now move on to general least squares where an arbitrary full rank design matrix is fit to a vector outcome.
Avaliações
- 5 stars60,35%
- 4 stars26,62%
- 3 stars8,28%
- 2 stars3,55%
- 1 star1,18%
Principais avaliações do ADVANCED LINEAR MODELS FOR DATA SCIENCE 1: LEAST SQUARES
I really enjoyed the course. It was well explained and the quizzes at regular intervals were helpful. It would be great if there were some practice exercises though...
The course is interesting; but is more theoretical in nature than applied.
As the name says it's an advanced course. Take the challenge though! In my opinion the content is a must if you want to perform competently in data science.
A wonderful course to study! Prof. Brian Caffo explains so well!
Sobre Programa de cursos integrados 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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