Linear Algebra for Data Science Using Python Specialization
- Offered byCoursera
Linear Algebra for Data Science Using Python Specialization at Coursera Overview
Linear Algebra for Data Science Using Python Specialization
at Coursera
Duration | 4 months |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course |
Credential | Certificate |
Linear Algebra for Data Science Using Python Specialization at Coursera Highlights
Linear Algebra for Data Science Using Python Specialization
at Coursera
- Earn a Certificate upon completion
Linear Algebra for Data Science Using Python Specialization at Coursera Course details
Linear Algebra for Data Science Using Python Specialization
at Coursera
Skills you will learn
What are the course deliverables?
- 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
More about this course
- 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
Linear Algebra for Data Science Using Python Specialization at Coursera Curriculum
Linear Algebra for Data Science Using Python Specialization
at Coursera
Introduction to Linear Algebra and Python
Fundamental Linear Algebra Concepts with Python
Building Regression Models with Linear Algebra
Capstone: Data Science Problem in Linear Algebra Framework
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Linear Algebra for Data Science Using Python Specialization
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