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:
This course is part of the Advanced Statistics for Data Science Specialization
About this Course
Skills you will gain
- Linear Regression
- R Programming
- Linear Algebra
Syllabus - What you will learn from this course
One and two parameter regression
General least squares
- 5 stars61.14%
- 4 stars26.28%
- 3 stars8%
- 2 stars3.42%
- 1 star1.14%
TOP REVIEWS FROM ADVANCED LINEAR MODELS FOR DATA SCIENCE 1: LEAST SQUARES
Good course. Quite hard. Linear algebra should be your second language as it is assumed to be mastered. Exams should include some personal work.
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...
Good mathematical rigour for the analysis of linear models. Builds some good intuition for the geometry of least squares which helps in model result interpretation.
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.
About the Advanced Statistics for Data Science Specialization
Frequently Asked Questions
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