Linear Algebra for Data and Engineering
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Vectors, matrices, eigen‑ideas, and decompositions that power modern computing.
10 content steps
4 quizzes
~210 minutes
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Journey Steps
Preview
1
Content Step 1
Content
Vectors, norms, and inner products
2
Content Step 2
Content
Matrix operations and linear systems (Ax = b)
3
Content Step 3
Content
Row reduction, rank, and invertibility
4
Quiz 4
Quiz
Checkpoint Quiz
5
Content Step 5
Content
Determinants and their meaning
6
Content Step 6
Content
Vector spaces, subspaces, and bases
7
Content Step 7
Content
Linear transformations and matrices
8
Quiz 8
Quiz
Checkpoint Quiz
9
Content Step 9
Content
Eigenvalues, eigenvectors, and diagonalization
10
Content Step 10
Content
Orthogonality and Gram–Schmidt
11
Content Step 11
Content
Least squares and projections
12
Quiz 12
Quiz
Checkpoint Quiz
13
Content Step 13
Content
SVD intuition and applications (compression, PCA)
14
Quiz 14
Quiz
Checkpoint Quiz
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