- Python Programming
- Data Model
- Eigenvalues And Eigenvectors
- Linear Algebra
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
Skills you will gain
About this Specialization
Applied Learning Project
Throughout this specialization, learners can practice individually and with peers using Python and linear algebra concepts. Learners will also engage in programming assignments, peer-graded assignments, quizzes, and discussion topics such as data modeling and matrices. For the Capstone project, learners will employ linear regression models to solve real-world problems, apply skills to analyze data, and develop linear regression models to make predictions.
How the Specialization Works
A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress.
Every Specialization includes a hands-on project. You'll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you'll need to finish each of the other courses before you can start it.
Earn a Certificate
When you finish every course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.
Frequently Asked Questions
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