Matrices Courses and Certifications

Koç University

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

27 ratings at Coursera

Kare matrisler, determinantlar, özdeğerler ve matris fonksiyonları üzerine derinlemesine bir inceleme. Gerçek dünya uygulamalarıyla zenginleştirilmiş ileri düzey doğrusal cebir konularını kapsar.

• Coursera
• 14 hours 40 minutes
• Self-Paced
• Paid Course

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

Calculus through Data & Modeling: Precalculus Review

122 ratings at Coursera

Review of key precalculus concepts for calculus, focusing on functions, modeling, and data analysis. Covers exponential, logarithmic, and trigonometric functions, vectors, and equations of lines and planes.

• Coursera
• 7 hours 56 minutes
• Self-Paced
• Paid Course

Data Mining in Python

12 ratings at Coursera

Discover how to extract valuable insights from large datasets using Python, covering itemsets, vectors, matrices, and sequences with real-world applications.

• Coursera
• 2 days 5 hours 51 minutes
• Self-Paced
• Paid Course

Statistics with Python Using NumPy, Pandas, and SciPy

Master statistical techniques with Python, using NumPy, Pandas, and SciPy for data science problems. Explore vector operations, probability, data distributions, linear relationships, and statistical inference.

• Coursera
• 19 hours 31 minutes
• Self-Paced
• Paid Course

Data Structures for Designers Using Python

Explore data structures and object-oriented programming in Python for design applications. Learn to use Processing for visual content creation and vector math for efficient data management in creative projects.

• Coursera
• 1 day 2 hours 51 minutes
• Self-Paced
• Paid Course

Quantitative Foundations for International Business

425 ratings at Coursera

Esencial matemático para finanzas y economía en negocios internacionales. Cubre ecuaciones, funciones, derivadas y matrices con ejercicios prácticos. Prepara para estudios avanzados y el Global MBA de la Universidad de Londres.

• Coursera
• 9 hours 52 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

LangChain Chat with Your Data

679 ratings at Coursera

Learn to build a chatbot using LangChain, focusing on RAG, document handling, vector stores, and advanced retrieval techniques for interacting with your own data sources.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Mastering Programming with MATLAB

435 ratings at Coursera

Advance your MATLAB skills with recursion, vectorization, and object-oriented programming. Learn to create efficient code and develop applications with graphical user interfaces for engineering and scientific computing.

• Coursera
• 2 days 7 hours 39 minutes
• Self-Paced
• Paid Course

Matrix Methods

249 ratings at Coursera

Explore fundamental matrix methods essential for machine learning and data analysis, including multiplication, linear equations, orthogonality, and SVD for dimensionality reduction and PCA.

• Coursera
• 6 hours 35 minutes
• Self-Paced
• Paid Course

First Order Optical System Design

342 ratings at Coursera

Explore optical system design, from eyewear to telescopes. Learn first-order design techniques, use industry-standard software, and develop intuition for complex optical systems.

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

Dynamic Programming, Greedy Algorithms

267 ratings at Coursera

Explore algorithm design techniques like divide-and-conquer, dynamic programming, and greedy algorithms. Learn about intractability and optimization problem-solving using linear/integer programming solvers.

• Coursera
• 1 day 14 hours 15 minutes
• Self-Paced
• Paid Course

Data Science with NumPy, Sets, and Dictionaries

22 ratings at Coursera

Master NumPy, sets, and dictionaries for data science. Gain hands-on experience in data manipulation, analysis, and visualization. Develop skills in vectorization, randomization, and image processing for real-world applications.

• Coursera
• 1 day 6 hours 59 minutes
• Self-Paced
• Paid Course

Essential Linear Algebra for Data Science

191 ratings at Coursera

Learn essential linear algebra concepts for data science, focusing on practical applications without unnecessary proofs. Covers matrices, linear systems, and key properties, preparing you for advanced statistical modeling.

• Coursera
• 7 hours 49 minutes
• Self-Paced
• Paid Course