Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors
Johns Hopkins University · View on Coursera ↗
Taught by Joseph W. Cutrone, PhD
Data ScienceMath and Logic
About the course
This course is the second course in the Linear Algebra Specialization. In this course, we continue to develop the techniques and theory to study matrices as special linear transformations (functions) on vectors. In particular, we develop techniques to manipulate matrices algebraically. This will allow us to better analyze and solve systems of linear equations. Furthermore, the definitions and theorems presented in the course allow use to identify the properties of an invertible matrix, identify
The dissent
The most-upvoted critical review (no upvotes, 3.0★).
“im not getting certificate after completing the course”
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Reviews read on 23 Oct 2026.Read them on Coursera ↗