Linear Programming

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Algorithms, Part II (Coursera) Coursera
Princeton University

Algorithms, Part II (Coursera)

CS: Software Engineering CS: Theory

Dive deep into the world of advanced algorithms and data structures with 'Algorithms, Part II' on Coursera. This course is designed for serious programmers who want to understand complex applications and improve their scientific performance analysis skills, particularly through Java implementations. From graph processing to string algorithms, this course will equip you with essential knowledge to tackle sophisticated programming challenges.

Jun 22nd 2026
5-12 Weeks
Java Algorithms Data Structures
Details
Advanced Algorithms and Complexity (Coursera) Coursera
University of California, San Diego,Higher School of Economics - HSE University

Advanced Algorithms and Complexity (Coursera)

CS: Software Engineering CS: Theory

Step up your algorithmic skills with our Advanced Algorithms and Complexity course. Dive into intricate problem-solving techniques, including network flows, optimal matchings, and disjoint paths. Perfect for those ready to advance beyond the basics and explore sophisticated applications in various fields like computer vision and scheduling.

Jun 22nd 2026
5-12 Weeks
Algorithms Data Structures Machine Learning
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Optimization for Decision Making (Coursera) Coursera
University of Minnesota

Optimization for Decision Making (Coursera)

Statistics & Data Analysis Data Science

Discover the power of data in shaping strategic decisions with 'Optimization for Decision Making'. This comprehensive online course equips you with prescriptive analytics skills, enabling you to make informed choices that drive business success. Whether you're a manager looking to optimize production levels or a strategist aiming to allocate resources effectively, this course provides the tools and techniques necessary to navigate complex data landscapes and prescribe actionable solutions.

Jun 22nd 2026
4 Weeks
Spreadsheets Excel Linear Programming
Details
Advanced Models for Decision Making (Coursera) Coursera
University of Minnesota

Advanced Models for Decision Making (Coursera)

Statistics & Data Analysis Data Science

Discover how to apply advanced mathematical models to make informed decisions across different sectors, including manufacturing, supply chain, finance, and HR management. This course focuses on linear optimization as a prescriptive analytics tool for formulating and solving decision-making problems.

Jun 22nd 2026
4 Weeks
Linear Programming Data Analysis Decision Making
Details
Fundamentals of Machine Learning for Supply Chain (Coursera) Coursera
LearnQuest

Fundamentals of Machine Learning for Supply Chain (Coursera)

Statistics & Data Analysis Data Science

Dive into the world of machine learning and its application to supply chain management with our Fundamentals of Machine Learning for Supply Chain course. Whether you're a seasoned professional or new to the field, this course will equip you with Python skills needed to analyze intricate data sets and optimize supply chain processes.

Jun 15th 2026
4 Weeks
Machine Learning Linear Programming Data Science
Details
Approximation Algorithms and Linear Programming (Coursera) Coursera
University of Colorado Boulder

Approximation Algorithms and Linear Programming (Coursera)

Computer Science

Dive deep into the world of optimization with our 'Approximation Algorithms and Linear Programming' course. Master advanced techniques in problem-solving by converting algorithmic challenges into linear and integer programming formulations. Perfect for those looking to enhance their skills in resource management, scheduling, and complex decision-making processes.

Jun 15th 2026
4 Weeks
Algorithms Linear Programming Approximation Algorithms
Details
Approximation Algorithms Part I (Coursera) Coursera
École normale supérieure

Approximation Algorithms Part I (Coursera)

CS: Software Engineering CS: Programming

Dive into the world of Approximation Algorithms Part I, an insightful online course designed to equip you with the skills needed to tackle NP-hard combinatorial optimization problems effectively. This course explores efficient methods for approximating solutions that balance computational efficiency with performance guarantees.

Jun 8th 2026
5-12 Weeks
Algorithms Computer Science Linear Programming
Details
Approximation Algorithms Part II (Coursera) Coursera
École normale supérieure

Approximation Algorithms Part II (Coursera)

CS: Software Engineering CS: Programming

Continue your journey into the fascinating world of theoretical computer science with 'Approximation Algorithms Part II'. This course is a continuation from Part 1, where you'll delve deeper into powerful design and analysis techniques such as linear programming duality and semidefinite programming. Master these methods to solve complex problems effectively.

Jun 8th 2026
4 Weeks
Algorithms Computer Science Linear Programming
Details
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