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Linear Algebra from Elementary to Advanced
Master foundational linear algebra concepts from vectors to matrices, with applications in data science and AI.
Course Cost
₹ 5,199
Beginner
Skill Level
33 Hours
Self-paced lessons
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.
5,982 Enrolled
English
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5,982 Enrolled
English
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
Explore applications in AI and data science
Implement matrix analysis in practical projects
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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Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
PROVIDED BY
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There are 3 courses in this program
Linear Algebra: Linear Systems and Matrix Equations
Course 1 · 9 Hours to complete · 4 modules
Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors
Course 2 · 12 Hours to complete · 6 modules
Linear Algebra: Orthogonality and Diagonalization
Course 3 · 8 Hours to complete · 4 modules
Fee Structure
Payment options
Financial Aid
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Frequently asked Questions
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