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:
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Habilidades que obtendrás
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.
- 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
Great refresher of linear algebra
understood many things about linear models that I just knew superficially from its cores
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
Hard Topic, You must take all the basics in multivariate statistical analysis first.
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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