Linear Transformations Courses and Certifications

NPTEL;  IISc Bangalore

Linear Algebra

The main purpose of this course is the study of linear operators on finite dimensional vector spaces. The idea is to emphasize the simple geometric notions common to many parts of mathematics and its applications.

• YouTube
• 1 day 9 hours
• On-Demand
• Free Video

Linear Algebra

Master fundamental linear algebra concepts, from matrices and determinants to eigenvalues and quadratic forms, building essential skills for science, engineering, and data analysis applications.

• XuetangX
• On-Demand
• Free Online Course

IIT Kharagpur;  NPTEL

Engineering Mathematics - I

Comprehensive study of essential mathematics for engineering, covering calculus, linear algebra, and differential equations with practical applications to various engineering problems.

• Swayam
• 12 weeks
• On-Demand
• Free Online Course

Linear Algebra

To illustrate the beauty and power of Linear Algebra.

• XuetangX
• On-Demand
• Free Online Course

IIT Roorkee;  NPTEL

Matrix Analysis with Applications

Comprehensive exploration of matrix theory and applications, covering computations, transformations, iterative methods, and specialized topics for engineering and science students.

• Swayam
• 8 weeks
• On-Demand
• Free Online Course

IIT Bombay;  NPTEL

Basic Linear Algebra

Linear Algebr is a basic course for students intended to go for Engineering sudies and higher studies in Mathematics. We will cover the basic tools needed in these brances.

• Swayam
• 8 weeks
• On-Demand
• Free Online Course

IIT Roorkee;  NPTEL

Advanced Linear Algebra

Comprehensive exploration of linear algebra, covering theoretical concepts and computational aspects. Includes advanced topics like canonical forms, inner product spaces, and singular value decomposition.

• Swayam
• 12 weeks
• On-Demand
• Free Online Course

Beijing Jiaotong University

Linear Algebra with Applications

Master fundamental linear algebra concepts and their real-world applications, from solving linear equations to web search algorithms, population modeling, and computer image transformation.

• XuetangX
• On-Demand
• Free Online Course

IISc Bangalore;  NPTEL

Linear Algebra

Comprehensive introduction to linear algebra, covering vectors, matrices, transformations, and advanced concepts. Suitable for undergraduates in mathematics, physics, engineering, and computer science.

• Swayam
• 12 weeks
• On-Demand
• Free Online Course

IIT Madras;  NPTEL

Applied Linear Algebra

Explore advanced linear algebra concepts and their applications in engineering, including vector spaces, linear transformations, eigenvalues, and matrix decompositions.

• Swayam
• 12 weeks
• On-Demand
• Free Online Course

Shenyang University Of Technology

Linear Algebra

Master essential linear algebra concepts from matrices and determinants to vector spaces and eigenvalues, building practical computational skills and theoretical understanding for solving complex mathematical problems.

• XuetangX
• On-Demand
• Free Online Course

Linear Algebra with Applications

Delve into the abstract depths of linear algebra: vector spaces, determinants, eigenvalues, wedge products, and more.

• Brilliant
• 30-40 hours
• On-Demand
• Paid Course

The Julia Programming Language

Inverses and Newton's Method in Computational Thinking - Lecture 5

Explore inverses and Newton's method in computational thinking, covering linear transformations, matrix multiplication, and practical implementations in Julia programming language.

• YouTube
• 58 minutes
• On-Demand
• Free Video

The Julia Programming Language

Transformations - Composability and Linearity in Computational Thinking - Lecture 4

Explore composability and linearity in transformations, focusing on image processing applications and advanced Julia programming techniques for vector-valued functions and linear/nonlinear transformations.

• YouTube
• 55 minutes
• On-Demand
• Free Video

The Julia Programming Language

Transformations and Automatic Differentiation in Computational Thinking - Lecture 3

Explore transformations and automatic differentiation in Julia, covering linear and non-linear transformations, function types, and applications in machine learning, with practical examples and visualizations.

• YouTube
• 54 minutes
• On-Demand
• Free Video