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:
ジョンズ・ホプキンズ大学（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.
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- 4 stars26.78%
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ADVANCED LINEAR MODELS FOR DATA SCIENCE 1: LEAST SQUARES からの人気レビュー
Very thorough and rigorous. A great review for me.
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.
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.
Advanced Statistics for Data Science専門講座について
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.