Linear Algebra

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Fundamental Linear Algebra Concepts with Python (Coursera) Coursera
Howard University

Fundamental Linear Algebra Concepts with Python (Coursera)

Discover the fundamentals of linear algebra with this comprehensive online course. Learn to solve complex problems using Python, mastering techniques such as finding inverses, matrix algebra, and linear transformations. Perfect for beginners and professionals alike, this course will equip you with essential skills in linear algebra through engaging exercises and practical applications.

Oct 12th 2026
4 Weeks
Introduction to Linear Algebra and Python (Coursera) Coursera
Howard University

Introduction to Linear Algebra and Python (Coursera)

Embark on a journey into the world of linear algebra with our introductory course, designed specifically for beginners. Learn essential concepts and apply them through Python programming to solve real-world problems. Ideal for students, data science enthusiasts, and business professionals aiming to leverage data science principles effectively.

Oct 12th 2026
4 Weeks
Building Regression Models with Linear Algebra (Coursera) Coursera
Howard University

Building Regression Models with Linear Algebra (Coursera)

Embark on a journey into the world of regression models with this insightful course. From understanding different types of regression to applying the Method of Least Squares manually and programmatically using Python, you'll gain a deep understanding of how linear regression can be used to identify patterns in scenarios. Start building your predictive modeling skills today!

Oct 12th 2026
4 Weeks
Linear Algebra: Orthogonality and Diagonalization (Coursera) Coursera
Johns Hopkins University

Linear Algebra: Orthogonality and Diagonalization (Coursera)

Dive into the final chapter of our Linear Algebra Specialization series where you'll explore the intricate world of orthogonality and diagonalization. This course is designed to equip you with advanced knowledge on orthogonal vectors, transformation, and symmetric matrices, essential for a wide range of applications from engineering to data science.

Oct 12th 2026
4 Weeks
Machine Learning (Coursera) Coursera
Stanford University

Machine Learning (Coursera)

Discover the fascinating world of Machine Learning with this in-depth online course offered by Coursera. Designed for those new to the field, this course will guide you through the fundamentals of making computers 'learn' without being explicitly programmed. From understanding the science behind machine learning to applying effective techniques and gaining hands-on experience, this course is your gateway to mastering a technology that's revolutionizing industries.

Oct 5th 2026
5-12 Weeks
Linear Algebra - Foundations to Frontiers (edX) EdX
University of Texas at Austin,UTAustinX

Linear Algebra - Foundations to Frontiers (edX)

Dive into Linear Algebra: Foundations to Frontiers, an edX course that offers a deep understanding of linear algebra principles and their application in matrix software development. This challenging yet rewarding program is ideal for mathematicians, engineers, scientists, and data professionals looking to enhance their analytical capabilities.

Self Paced
Self-Paced
Introduction to Linear Models and Matrix Algebra (edX) EdX
HarvardX,Harvard University

Introduction to Linear Models and Matrix Algebra (edX)

Discover the essential principles of Linear Models and Matrix Algebra in this introductory data analysis course on edX. Perfect for those interested in life sciences, this program teaches you how to represent complex analyses with matrix algebra and perform statistical inference using R programming. Enhance your understanding of experimental design and high-dimensional data analysis.

Self Paced
Self-Paced
Algèbre Linéaire (Partie 1) (edX) EdX
École Polytechnique Fédérale de Lausanne,EPFLx

Algèbre Linéaire (Partie 1) (edX)

Plongez dans le monde fascinant de l'algèbre linéaire avec ce cours accessible à tous. Enseigné de manière rigoureuse, il vous permettra d'apprendre les concepts fondamentaux sans nécessiter de connaissances préalables. Idéal pour enrichir vos études en économie, ingénierie ou physique.

Self Paced
Self-Paced