Linear Programming Courses and Certifications

Optimization: principles and algorithms - Linear optimization

Introduction to linear optimization, duality and the simplex algorithm.

• edX
• 5 weeks, 6-8 hours a week
• Self-Paced
• Free Online Course (Audit)

Career Certificate

Linear Algebra Programming with NumPy

Learn core linear algebra concepts—vectors, matrices, systems, and eigenvalues—through practical NumPy exercises for data science and machine learning.

• CodeSignal
• 10 hours
• Self-Paced
• Free Certificate
• 3 courses

Career Certificate

Linear Algebra Programming with R

Apply vectors, matrices, and eigenvalue methods in R to data science and statistical analysis.

• CodeSignal
• 10 hours
• Self-Paced
• Free Certificate
• 3 courses

NPTEL;  IIT Kharagpur

Business Analytics for Management Decision

17 ratings

This course will be exclusively quantitative and an application to business/management-related problems. It is connected with problem sets and real life cases to know the relevance of a particular problem and the decision-making thereof.

• YouTube
• 1 day 15 hours
• Self-Paced
• Free Video

PapersWeLove

A Case for Correctly Rounded Math Libraries

Explore the RLIBM project's approach to building correctly rounded elementary functions, revolutionizing polynomial approximations for enhanced mathematical precision in computing.

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

Ryan O'Donnell

The Ellipsoid Algorithm - Lecture 19a of CS Theory Toolkit

Learn how the ellipsoid algorithm solves linear programs in polynomial time and extends to convex optimization through separation oracles.

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

NPTEL-NOC IITM

Simplex Methods in Matrix Form

Learn matrix-based simplex methods for efficient linear programming problem-solving, enhancing your optimization skills and mathematical understanding.

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

The Julia Programming Language

HiGHS - The Story So Far

Discover HiGHS, the world's leading open-source solver for large-scale linear and mixed integer programming, exploring solution methods, software challenges, and scaling strategies.

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

Machine Learning With Hamza

Visual Optimization Solver - Graphical Solution and LLM-Generated Reports

Explore a graphical solver for mathematical optimization, visualizing function minimization with equality constraints and generating LLM-based reports for enhanced understanding.

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

Introduction to Graduate Algorithms

1 rating

Learn advanced techniques for designing algorithms and apply them to hard computational problems.

• Udacity
• 20 hours
• Self-Paced
• Free Online Course

Convex Optimization

8 ratings

This course concentrates on recognizing and solving convex optimization problems that arise in applications. The syllabus includes: convex sets, functions, and optimization problems; basics of convex

• edX
• 8 weeks, 10-15 hours a week
• Self-Paced
• Free Online Course

Supply Chain Analytics in Python

97 ratings at DataCamp

Supply Chain Analytics transforms supply chain activities from guessing, to ones that makes decision using data.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Advanced Algorithms and Complexity

703 ratings at Coursera

Tackle harder problems with network flow algorithms, linear programming, NP-complete reductions and workarounds, approximation algorithms, and streaming methods like CountSketch for huge datasets.

• Coursera
• 5 weeks, 5 hours a week
• Self-Paced
• Paid Course

Supply Chain Analytics

326 ratings at edX

Master and apply the core methodologies used in supply chain analysis and modeling, including statistics, regression, optimization and probability ​- part of the MITx Supply Chain Management MicroMast

• edX
• 15 weeks, 8-12 hours a week
• Self-Paced
• Free Online Course (Audit)

Operations Research (1): Models and Applications

588 ratings at Coursera

This course introduces frameworks and ideas about various types of optimization problems in the business world. In particular, we focus on how to formulate real business problems into mathematical models that can be solved by computers.

• Coursera
• 6 weeks, 2 hours a week
• Self-Paced
• Paid Course