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Linear Algebra: Fundamentals of Matrix Algebra & Determinant

A course on Matrices and Determinants that boosts your confidence and inspires you to learn Math for Data Science

  1. Topics
  2. Teaching & Academics
  3. Linear Algebra Fundamentals

Linear Algebra: Fundamentals of Matrix Algebra & Determinant

InstructorSandeep Kumar Mathur
Duration7h 33m
Students271
Rating4.9 (26)
Sponsored
Price
$14.99
Coupon
None
No active coupon currently available
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Open on UdemyCurrent Udemy price

Coupon history

Comidoc has tracked 2 coupons for this course since 2026, last checked 15d ago.

Coupon codeDiscountAddedStatusLifetime
312440B2F3CBD4A366B213% offSep 27, 202605:05 PM UTCExpired7d 14h
942565E4B2D24E69A4D113% offAug 3, 202608:50 AM UTCExpired30d 4h
Comidoc Analysis

Problem-Centric Matrix Algebra and Determinants

Strengths

Targeted Operation Coverage

Instruction covers essential matrix operations including addition, multiplication, and specialized types such as Nilpotent, Idempotent, and Involutary matrices.

Application-Oriented Structure

The curriculum uses a problem-centric approach, interspersing lecture content with specific numbered questions to demonstrate mathematical applications.

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Limitations

Limited Project Depth

The curriculum relies on topical quizzes and specific question-based exercises instead of large-scale projects or complex coding labs.

Best suited to

  • Students studying matrix algebra for academic syllabi
  • Learners preparing for competitive mathematics exams
  • Individuals building foundations for data science

Less suited to

  • Learners seeking long-form, project-based applications

Comidoc Score

6.5/10

Worth considering
Defined audience

Comidoc verdict

The curriculum progresses from basic matrix notation and operations into advanced topics like determinants, Cramer's Rule, and matrix inversion. This path is supported by a structure that integrates specific mathematical questions directly into the lecture flow to reinforce concepts.

The strength of this instruction lies in its explicit breakdown of matrix properties and the inclusion of assessment checkpoints through topical quizzes. These elements provide a clear way to verify understanding of fundamental operations like finding adjoints or solving linear equations via the matrix method.

This instruction is best suited for students needing to master specific mathematical procedures for academic exams or those establishing a prerequisite foundation for technical fields.

Score breakdown

Curriculum depth
8.0

The curriculum provides detailed coverage of various matrix types and the mechanics of determinants and inverses.

Applied learning
5.0

Learning is reinforced through topical quizzes and specific question-based exercises rather than comprehensive projects.

Clarity & experience
6.5

Learner signals indicate that the mathematical explanations are presented in a simple and explicit manner.

Currency & reliability
5.0

The available evidence does not establish enough about current reliability to move this dimension away from neutral.

Audience fit
6.5

The curriculum aligns with the stated goals of academic study and technical preparation through its focus on matrix operations.

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