Linear Algebra for Data Science Using Python Specialization
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 You Will Learn:
- 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
In this course, you'll learn how to distinguish between the different types of regression models. You will apply the Method of Least Squares to a dataset by hand and using Python. In addition, you will learn how to employ a linear regression model to identify scenarios. Let's get started!
This course is the first of a series that is designed for beginners who want to learn how to apply basic data science concepts to real-world problems. You might be a student who is considering pursuing a career in data science and wanting to learn more, or you might [...]
In this course, you'll be introduced to finding inverses and matrix algebra using Python. You will also practice using row reduction to solve linear equations as well as practice how to define linear transformations. Let's get started!