Matrices Courses and Certifications

Insights into Mathematics

The Stern-Brocot Tree, Matrices and Wedges - Real Numbers and Limits Math Foundations

Explore the Stern-Brocot tree's matrix and geometric representations, including wedges, for a deeper understanding of fractions and their relationships in mathematics.

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

Insights into Mathematics

Arrays and Matrices - Data Structures in Mathematics Math Foundations | NJ Wildberger

Introduction to arrays and matrices as 2D data structures, exploring definitions, examples, and extending to 3D arrays. Distinguishes between arrays and matrices, offering a novel approach to linear algebra.

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

Simons Institute

Matrix Data Structures

Explore efficient matrix data structures for fast algorithms, focusing on optimization techniques and their applications in computational mathematics.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

The Organic Chemistry Tutor

How to Find the Area of a Triangle Using Matrices and Determinants

Learn to calculate triangle area using matrices and determinants in this concise precalculus tutorial, enhancing your mathematical problem-solving skills.

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

Excellence Academy

Matrices 2 - Finding Determinants and Inverses of Matrices

Learn to calculate determinants and inverses of 2x2 and 3x3 matrices, essential for JAMB Mathematics preparation. Master these fundamental matrix operations to enhance your problem-solving skills.

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

Excellence Academy

Matrices: Addition, Subtraction, and Multiplication - JAMB Preparation

Master matrix operations: addition, subtraction, and multiplication for JAMB Mathematics. Enhance problem-solving skills with practical examples and expert guidance.

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

Universitat Politècnica de València

Bases Matemáticas: Álgebra

55 reviews

En este curso se tratan los sistemas de ecuaciones, las matrices y cómo usarlas para resolverlos.

• edX
• 4 weeks, 3-4 hours a week
• On-Demand
• Free Online Course (Audit)

Introduction to R

8 reviews

Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Mathematics for Machine Learning: Linear Algebra

9 reviews

Explore linear algebra fundamentals and their applications in machine learning, covering vectors, matrices, eigenvalues, and practical implementations in Python for data-driven tasks.

• Coursera
• 18 hours 50 minutes
• On-Demand
• Free Online Course (Audit)

R Programming Fundamentals

Level-up your R programming skills! Learn how to work with common data structures, optimize code, and write your own functions.

• DataCamp
• 22 hours
• On-Demand
• Free Trial Available

Linear Algebra for Data Science in R

This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Microcredential

Mathematical Foundations for Deep Learning

44 ratings at CodeSignal

Master essential mathematical concepts - linear algebra, calculus, optimization, and statistics - to build a solid foundation for understanding and implementing deep learning algorithms effectively.

• CodeSignal
• On-Demand
• Free Certificate
• 5 courses

Introduction to R for Finance

12 ratings at DataCamp

Learn essential data structures such as lists and data frames and apply that knowledge directly to financial examples.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Microcredential

Linear Algebra Programming with NumPy

4 ratings at CodeSignal

Master linear algebra fundamentals with NumPy through hands-on programming exercises, covering vectors, matrices, eigenvalues, and practical applications in data science and machine learning.

• CodeSignal
• On-Demand
• Free Certificate
• 3 courses

Dans cette intro à R, vous allez vous familiariser avec les bases de ce magnifique langage open source : les vecteurs, les matrices, les facteurs, les listes et les data.frame.

• DataCamp
• On-Demand
• Free Trial Available