Linear Transformations Courses and Certifications

TrevTutor

Linear Algebra - Complete Course on Systems, Vectors, Matrices, and Transformations

Master fundamental concepts from systems of equations to eigenvalues through comprehensive video tutorials covering matrices, transformations, vector spaces, and diagonalization.

• YouTube
• 9 hours
• Self-Paced
• Free Video

Linear Algebra: Linear Systems and Matrix Equations

177 ratings at Coursera

Explore linear systems, matrices, and vector equations, gaining foundational skills in linear algebra. Learn to solve and classify linear systems, understand linear transformations, and apply concepts to real-world problems.

• Coursera
• 10 hours 9 minutes
• Self-Paced
• Paid Course

Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors

79 ratings at Coursera

Develop matrix algebra techniques, study determinants, and explore eigenvectors to analyze linear transformations. Apply concepts to Markov chains and Google PageRank algorithm.

• Coursera
• 14 hours 53 minutes
• Self-Paced
• Paid Course

Foundational Mathematics for AI

10 ratings at Coursera

Gain insights into essential mathematical concepts powering AI - from functions and matrices to calculus and probability - with practical applications in machine learning and data analysis.

• Coursera
• 2 days 1 hour 8 minutes
• Self-Paced
• Paid Course

Khan Academy

Rowspace and Left Nullspace - Matrix Transformations - Linear Algebra - Khan Academy

Explore rowspace and left nullspace concepts in matrix transformations, enhancing your understanding of multi-dimensional mathematical reasoning in linear algebra.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

Khan Academy

Determinant and Area of a Parallelogram - Matrix Transformations - Linear Algebra - Khan Academy

Explore the relationship between 2x2 matrix determinants and parallelogram areas in linear algebra, enhancing understanding of matrix transformations and geometric interpretations.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

Dr Trefor Bazett

Linear Algebra - Foundational Concepts and Transformations

Explore foundational linear algebra concepts through geometric visualization and algebraic methods, covering systems, transformations, subspaces, and coordinate systems.

• YouTube
• 1 hour 57 minutes
• Self-Paced
• Free Video

Packt

Mathematical Foundations and Quantum Mechanics Essentials

69 ratings at Coursera

Master mathematical foundations and quantum mechanics essentials. Explore probability theory, complex numbers, matrices, and linear transformations. Delve into qubits, superposition, interference, and entanglement. Develop a well-rounded understanding of…

• Coursera
• 4 hours 37 minutes
• Self-Paced
• Paid Course

Introduction to Linear Algebra

42 ratings at Coursera

Explore geometric vectors, lines, planes, matrices, determinants, and eigentheory. Gain practical skills in solving systems of equations and understanding linear transformations, with applications in various fields.

• Coursera
• 1 day 12 hours 14 minutes
• Self-Paced
• Paid Course

Fundamental Linear Algebra Concepts with Python

18 ratings at Coursera

In this course, you'll be introduced to finding inverses and matrix algebra using Python. You will also practice using row reduction to solve linear equations as well as practice how to define linear transformations. Let's get started!

• Coursera
• 10 hours 34 minutes
• Self-Paced
• Paid Course

University of London;  Goldsmiths University of London

Applied Mathematical Methods for Computing

Explore essential mathematical foundations for computing including algebra, vectors, matrices, sequences, combinatorics, probability, and statistics to solve complex computational problems.

• Coursera
• 19 hours 20 minutes
• Self-Paced
• Paid Course

Birla Institute Of Technology And Science–Pilani (BITS–Pilani)

Linear Algebra for Machine Learning & AI

Master the mathematical foundations of AI and ML through matrices, linear systems, eigenvalues, transformations, and programming to build essential analytical skills.

• Coursera
• 1 day 11 hours 51 minutes
• Self-Paced
• Paid Course

Linear Algebra for ML and Analytics Training

Master essential linear algebra concepts for data science and ML, covering equations, matrices, vectors, and PCA applications in just over 3 hours.

• Coursera
• 3 hours 13 minutes
• Self-Paced
• Paid Course

Math 201: Linear Algebra

Master fundamental concepts of vector spaces, matrices, eigenvalues, and linear transformations to solve complex mathematical problems and build analytical thinking skills.

• Study.com
• 10 hours 24 minutes
• Self-Paced
• Paid Course

Linear Algebra

Master matrix theory and linear algebra, exploring systems of equations, vector spaces, determinants, eigenvalues, and applications in various disciplines. Gain practical skills for solving complex mathematical problems.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course