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:
Informações sobre o curso
Habilidades que você terá
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.
- 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
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.
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.
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...
Hard Topic, You must take all the basics in multivariate statistical analysis first.
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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