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 stars61.58%
- 4 stars25.98%
- 3 stars7.90%
- 2 stars3.38%
- 1 star1.12%
TOP REVIEWS FROM 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.
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
Very thorough and rigorous. A great review for me.
Great, detailed walk-through of least squares. Linear Algebra is a must for this course. To follow the last part requires knowledge of matrix (eigen?)decomposition, which derailed me somewhat.
About the Advanced Statistics for Data Science Specialization
Frequently Asked Questions
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