Linear Algebra from Elementary to Advanced
Master foundational linear algebra concepts from vectors to matrices, with applications in data science and AI.
Master foundational linear algebra concepts from vectors to matrices, with applications in data science and AI.
This comprehensive specialization provides a thorough introduction to linear algebra, covering essential concepts from basic vector operations to advanced matrix theory. The program progresses from fundamental linear systems and matrix equations through determinants and eigenvectors, culminating in orthogonality and diagonalization. Students learn both theoretical foundations and practical applications, with emphasis on geometric understanding and algebraic manipulation. The course prepares learners for advanced work in data science, AI, machine learning, and other fields.
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What you'll learn
Master linear equations and matrix methods
Understand vector spaces and linear transformations
Analyze determinants and eigenvectors
Apply matrix algebra to real-world problems
Develop mathematical proof techniques
Study orthogonality and diagonalization
Skills you'll gain
This course includes:
33 Hours PreRecorded video
Special projects including Markov Chains, Google PageRank matrix, and eigenvalue applications
Access on Mobile, Tablet, Desktop
FullTime access
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There are 3 courses in this program
Linear Algebra: Linear Systems and Matrix Equations
Course 1 · 10 Hours to complete · 4 modules
Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors
Course 2 · 14 Hours to complete · 6 modules
Linear Algebra: Orthogonality and Diagonalization
Course 3 · 9 Hours to complete · 4 modules
Fee Structure
Payment options
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