About this Course

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Coursera Labs
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Intermediate Level
Approx. 21 hours to complete
English

What you will learn

  • Describe the vector spaces, vector subspaces, basis, and dimension of a vector space.

  • Explain the linear transformations defined on vector spaces and eigenvalues and eigenvector of a matrix, symmetric and skew-symmetric matrices.

  • Explain diagonalizable matrices, their applications and the inner product, and the norm of vectors and matrices.

Skills you will gain

  • Data Science
  • Machine Learning
  • Mathematics
  • Linear Algebra
  • Machine Learning (ML) Algorithms
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Intermediate Level
Approx. 21 hours to complete
English

Offered by

Placeholder

Indian Institute of Technology Roorkee

Syllabus - What you will learn from this course

Week1
Week 1
20 minutes to complete

Getting Started with the Course

20 minutes to complete
1 reading
Week2
Week 2
3 hours to complete

Vector Space

3 hours to complete
6 videos (Total 54 min), 2 readings, 2 quizzes
Week3
Week 3
5 hours to complete

Linear Transformations and Eigenvalues

5 hours to complete
6 videos (Total 44 min), 5 readings, 2 quizzes
Week4
Week 4
4 hours to complete

Diagonalizable Matrices and Their Applications

4 hours to complete
6 videos (Total 52 min), 3 readings, 2 quizzes

Frequently Asked Questions

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