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Linear Algebra courses 205

Learn Linear Algebra online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.

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Coursera

Portfolio Diversification using Correlation Matrix

4.5291 ratings

By the end of the project, you will be able to apply correlation matrix in portfolio diversification. ATTENTION: To take this course, it is required that you are familiar basic financial risk management concepts. You can gain them by taking the guided project Compare Stock Returns with Google Sheet…

  • Coursera
  • 1 hour
  • Self-paced
  • Paid certificate

University of Minnesota

Matrix Methods

Mathematical Matrix Methods lie at the root of most methods of machine learning and data analysis of tabular data. Learn the basics of Matrix Methods, including matrix-matrix multiplication, solving linear equations, orthogonality, and best least squares approximation. Discover the Singular Value D…

  • Coursera
  • Self-paced
  • Paid certificate

University of Colorado Boulder

Essential Linear Algebra for Data Science

Are you interested in Data Science but lack the math background for it? Has math always been a tough subject that you tend to avoid? This course will teach you the most fundamental Linear Algebra that you will need for a career in Data Science without a ton of unnecessary proofs and concepts that y…

  • Coursera
  • 5 weeks of study
  • Self-paced
  • Paid certificate

Northeastern University

Applied Mathematics in Bioengineering

Covers and emphasizes practical applications of linear algebra, statistics, complex analysis, and signal processing in bioengineering. Students develop fluency with matrix decompositions, statistical inference and curve fitting, complex-number representations of signals, linear time-invariant syste…

  • Coursera
  • 8-10 hours / week
  • Self-paced
  • Paid certificate

Koç University

Doğrusal Cebir II: Kare Matrisler, Hesaplama Yöntemleri ve Uygulamalar / Linear Algebra II: Square Matrices, Calculation Methods and Applications

4.627 ratings

Doğrusal cebir ikili dizinin ikincisi olan bu ders birinci derste verilen temel bilgilerin üzerine eklemeler yapılarak tamamen matris işlemleri ve uygulamalarını kapsamaktadır. Cebirsel denklem sistemleri, sonuçların tekilliği ve var olup olmadığı, determinantlar ve onların doğal olarak nasıl oluşt…

  • Coursera
  • 7 weeks, 4 hours per week
  • Self-paced
  • Paid certificate

Howard University

Fundamental Linear Algebra Concepts with Python

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
  • Self-paced
  • Paid certificate

Howard University

Introduction to Linear Algebra and Python

This course is the first of a series that is designed for beginners who want to learn how to apply basic data science concepts to real-world problems. You might be a student who is considering pursuing a career in data science and wanting to learn more, or you might be a business professional who w…

  • Coursera
  • Self-paced
  • Paid certificate

Howard University

Capstone: Data Science Problem in Linear Algebra Framework

In this course, you'll review the specifics of the Capstone project. In addition, you will create and run your regression model and share your results with your peers. Let's get started!

  • Coursera
  • Self-paced
  • Paid certificate

Howard University

Building Regression Models with Linear Algebra

In this course, you'll learn how to distinguish between the different types of regression models. You will apply the Method of Least Squares to a dataset by hand and using Python. In addition, you will learn how to employ a linear regression model to identify scenarios. Let's get started!

  • Coursera
  • Self-paced
  • Paid certificate

Codio

C++ Basic Structures: Vectors, Pointers, Strings, and Files

Code and run your first C++ program in minutes without installing anything! This course is designed for learners with limited coding experience, providing a solid foundation of not just C++, but core Computer Science topics that can be transferred to other languages. The modules in this course cove…

  • Coursera
  • 4 weeks of study, 3-4 hours/week
  • Self-paced
  • Paid certificate

Simplilearn

Linear Algebra for ML and Analytics Training

This beginner-friendly course covers core linear algebra concepts essential for data science and machine learning. Start with linear equations and learn to identify linear vs. non-linear forms and solve systems with real-world examples. Then explore matrices and vectors, including matrix operations…

  • Coursera
  • Self-paced
  • Paid certificate

Howard University

Linear Algebra for Data Science Using Python

This Specialization is for learners interested in exploring or pursuing careers in data science or understanding some data science for their current roles. This course will build upon your previous mathematical foundations and equip you with key applied tools for using and analyzing large data sets.

Learning path or series
  • Coursera
  • Self-paced
  • Paid certificate

Coursera

Smart Decision Matrix

Smart Decision Matrix is a practical course designed for intermediate to advanced sales professionals who need to make confident, well-justified pricing and solution recommendations. Across focused lessons, learners explore how multi-criteria decision matrices help structure complex decisions by in…

  • Coursera
  • 2 hours
  • Self-paced
  • Paid certificate

Coursera

Crunch Vectors with GeoPandas

Working with spatial data means more than making maps—it means producing results that planners and decision-makers can trust. In this short, hands-on course, Crunch Vectors with GeoPandas, learners practice transforming raw vector data into map-ready, planning-quality insights using GeoPandas. Thro…

  • Coursera
  • Self-paced
  • Paid certificate

Coursera

Matrix Your Discounts

Matrix Your Discounts is an intermediate-to-advanced course designed for sales professionals who already manage B2B deals and have hands-on experience with pricing, discounting, and internal approval workflows. In complex, multi-year deals, discount decisions often rely on instinct or pressure from…

  • Coursera
  • 2 hours
  • Self-paced
  • Paid certificate

Coursera

Optimize and Migrate Vectors

Optimize and Migrate Vectors is an intermediate course for Machine Learning engineers and developers looking to master the operational side of vector databases. In the world of Vector-Ops, building a functional application is only the baseline; the real challenge lies in maintaining sub-millisecond…

  • Coursera
  • Approximately 90 minutes
  • Self-paced
  • Paid certificate

Packt

Matrix Calculus for Data Science & Machine Learning

Updated in May 2025. This course now features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. This course is designed to introduce you to the…

  • Coursera
  • 10 hours
  • Self-paced
  • Paid certificate