Linear Algebra for Data Science Using Python
This Specialization is for learners interested in exploring or pursuing careers in data science or understanding some data science for their current roles. This course will build upon your previous mathematical foundations and equip you with key applied tools for using and analyzing large data sets.
What's inside
Four courses
Introduction to Linear Algebra and Python
Introduction to Linear Algebra and Python
Fundamental Linear Algebra Concepts with Python
Fundamental Linear Algebra Concepts with Python
Building Regression Models with Linear Algebra
Building Regression Models with Linear Algebra
Capstone: Data Science Problem in Linear Algebra Framework
Capstone: Data Science Problem in Linear Algebra Framework
Learning objectives
- Use python to solve vector equations
- apply linear algebra concepts such as the inverse of a matrix, row reduction, and eigenvalues and eigenvectors
- Use regression models
- apply linear algebra to analyze data, create, and make predictions based off of a regression model
- Use python to solve vector equations
- apply linear algebra concepts such as the inverse of a matrix, row reduction, and eigenvalues and eigenvectors
- Use regression models
- apply linear algebra to analyze data, create, and make predictions based off of a regression model
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