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Linear Algebra for Quants
Master vectors, matrices, and eigenvalues for financial modeling.
Module 1: Foundations of Vectors & Matrices
12
Lessons
4h 10m
Lesson 1.1: The Two Views of a Vector
Completed
15 min
Lesson 1.2: Vector Operations
In Progress
20 min
Lesson 1.3: The Dot Product, Norms, and Angles
Not Started
25 min
Lesson 1.4: Orthogonality
Not Started
20 min
Lesson 1.5: The Two Views of a Matrix
Not Started
15 min
Lesson 1.6: Matrix Operations
Not Started
20 min
Lesson 1.7: Matrix Multiplication
Not Started
25 min
Lesson 1.8: Special Matrices
Not Started
20 min
Lesson 1.9: Linear Combinations and Span
Not Started
20 min
Lesson 1.10: Linear Independence
Not Started
20 min
Lesson 1.11: Basis and Dimension
Not Started
25 min
Lesson 1.12: Vector Spaces and Subspaces
Not Started
25 min
Module 2: Solving Linear Systems & The Four Subspaces
9
Lessons
1h 55m
Module 3: Determinants
2
Lessons
0h 50m
Module 4: Eigenvalues, Eigenvectors, & Eigendecompositions
6
Lessons
2h 30m
Module 5: The Inexact Problem: Least Squares & QR Decomposition
6
Lessons
2h 5m
Module 6: The Grand Finale - SVD & Its Applications
3
Lessons
1h 35m
Module 7: Applications in Finance
6
Lessons
1h 30m