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  • Linear Programming

Linear Programming Courses

Linear programming courses can help you learn optimization techniques, constraint handling, and objective function formulation. You can build skills in sensitivity analysis, duality theory, and graphical methods for problem-solving. Many courses introduce tools like MATLAB, Python, and Excel Solver, that support implementing linear programming models and analyzing outcomes in various applications, from logistics and finance to production planning and resource allocation.

Popular Linear Programming Courses and Certifications


  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Approximation Algorithms and Linear Programming

    Skills you'll gain: Operations Research, Algorithms, Graph Theory, Network Model, Combinatorics, Mathematical Software, Mathematical Modeling, Theoretical Computer Science, Model Optimization, Python Programming

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    63 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    Northeastern University

    Industrial Optimization: Models & Linear Programming

    Skills you'll gain: Operations Research, Applied Mathematics, Mathematical Software, Operational Analysis, Linear Algebra, Numerical Analysis, Mathematical Modeling, Algorithms, Model Optimization, Algebra

    Build toward a degree

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    N

    National Taiwan University

    Operations Research

    Skills you'll gain: Operations Research, Mathematical Modeling, Report Writing, Network Model, Applied Mathematics, Business Modeling, Industrial Engineering, Research Reports, Model Optimization, Linear Algebra, Numerical Analysis, Operational Analysis, Statistical Machine Learning, Inventory Control, Case Studies, Process Optimization, Algorithms, Project Design, Machine Learning, Business Analytics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    734 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Linear Algebra from Elementary to Advanced

    Skills you'll gain: Linear Algebra, Algebra, Applied Mathematics, Advanced Mathematics, Artificial Intelligence and Machine Learning (AI/ML), Engineering Analysis, Mathematical Theory & Analysis, Geometry, Applied Machine Learning, Markov Model

    4.7
    Rating, 4.7 out of 5 stars
    ·
    239 reviews

    Beginner · Specialization · 3 - 6 Months

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  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Optimization for Decision Making

    Skills you'll gain: Operations Research, Mathematical Modeling, Business Modeling, Business Analytics, Analytics, Process Optimization, Data-Driven Decision-Making, Model Optimization, Microsoft Excel, Decision Making, Excel Formulas, Spreadsheet Software, Graphing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    91 reviews

    Beginner · Course · 1 - 4 Weeks

What brings you to Coursera today?

  • Status: Top AI Program
    Top AI Program
    I

    Imperial College London

    Mathematics for Machine Learning

    Skills you'll gain: Dimensionality Reduction, Linear Algebra, Regression Analysis, NumPy, Calculus, Unsupervised Learning, Applied Mathematics, Statistical Methods, Descriptive Statistics, Model Optimization, Mathematical Software, Machine Learning Methods, Jupyter, Statistics, Numerical Analysis, Applied Machine Learning, Geometry, Artificial Neural Networks, Data Science, Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    15K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    AI Techniques, Causal Inference & Business Optimization

    Skills you'll gain: Root Cause Analysis, Data Ethics, Responsible AI, Law, Regulation, and Compliance, Retrieval-Augmented Generation, LLM Application, Operations Research, Regulatory Compliance, Strategic Decision-Making, Apache Kafka, Pareto Chart, Operational Analysis, Decision Intelligence, Stakeholder Communications, Revenue Management, Large Language Modeling, Real Time Data, Statistical Inference, General Data Protection Regulation (GDPR), Reinforcement Learning

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Rust Programming

    Skills you'll gain: Rust (Programming Language), Containerization, Data Pipelines, CI/CD, Docker (Software), Jenkins, Application Deployment, DevOps, LLM Application, Continuous Integration, Hugging Face, Large Language Modeling, Test Case, Restful API, Serverless Computing, Generative AI, Command-Line Interface, Natural Language Processing, Computer Programming, Cloud Computing

    3.9
    Rating, 3.9 out of 5 stars
    ·
    310 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Statistics for Data Science

    Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, Probability Distribution, R Programming, Biostatistics, Data Analysis, Data Science, Statistics, Mathematical Modeling, Data Modeling, Applied Mathematics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    800 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    LLM Optimization & Evaluation

    Skills you'll gain: Apache Airflow, MLOps (Machine Learning Operations), Fine-tuning, User Acceptance Testing (UAT), Prompt Patterns, LLM Application, AI Security, Extract, Transform, Load, Scripting, Technical Communication, SQL, Model Optimization, Data Pipelines, Data Presentation, Large Language Modeling, Python Programming, Performance Tuning, Root Cause Analysis, Statistical Analysis, Version Control

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    H

    Howard University

    Linear Algebra for Data Science Using Python

    Skills you'll gain: Data Wrangling, Linear Algebra, Regression Analysis, Data Manipulation, Predictive Modeling, Dimensionality Reduction, Data Science, Data Visualization, Plot (Graphics), Mathematical Modeling, Scientific Visualization, Data Preprocessing, NumPy, Predictive Analytics, Statistical Modeling, Mathematical Software, Statistical Methods, Applied Mathematics, Algebra, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    33 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Advanced Models for Decision Making

    Skills you'll gain: Operations Research, Supply Chain Planning, Supply Chain, Transportation, Supply Chain, and Logistics, Workforce Management, Resource Planning, Business Analytics, Applied Mathematics, Mathematical Modeling, Manufacturing Operations, Operations Management, Workforce Planning, Financial Modeling, Inventory Control, Business Analysis, Microsoft Excel, Production Process, Resource Allocation, Analytics, Cash Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    61 reviews

    Beginner · Course · 1 - 4 Weeks

What brings you to Coursera today?

1234…527

In summary, here are 10 of our most popular linear programming courses

  • Approximation Algorithms and Linear Programming: University of Colorado Boulder
  • Industrial Optimization: Models & Linear Programming: Northeastern University
  • Operations Research: National Taiwan University
  • Linear Algebra from Elementary to Advanced: Johns Hopkins University
  • Optimization for Decision Making: University of Minnesota
  • Mathematics for Machine Learning: Imperial College London
  • AI Techniques, Causal Inference & Business Optimization: Coursera
  • Rust Programming: Duke University
  • Advanced Statistics for Data Science: Johns Hopkins University
  • LLM Optimization & Evaluation: Coursera

Skills you can learn in Business Essentials

Analytics (37)
Presentation (33)
Modeling (29)
Business Analytics (27)
Language (26)
Microsoft Excel (26)
Writing (26)
Speech (18)
Plan (17)
Business Communication (16)
Decision-making (16)
Leadership (15)

Frequently Asked Questions about Linear Programming

Linear programming is a mathematical method used for optimizing a linear objective function, subject to linear equality and inequality constraints. It plays a crucial role in various fields, including economics, engineering, and military applications, by helping organizations make the best possible decisions within given limitations. By modeling complex problems in a structured way, linear programming enables decision-makers to allocate resources efficiently, minimize costs, and maximize profits.‎

Careers in linear programming can be diverse and rewarding. Professionals skilled in this area often find roles as operations research analysts, data scientists, supply chain managers, or financial analysts. These positions typically involve using linear programming techniques to solve complex optimization problems, improve operational efficiency, and support strategic decision-making in various industries, including finance, logistics, and manufacturing.‎

To effectively learn linear programming, you should focus on developing a strong foundation in mathematics, particularly in algebra and calculus. Familiarity with optimization techniques and software tools, such as R or Python, is also beneficial. Additionally, understanding how to formulate problems in a linear programming context and interpret the results is essential for applying these skills in real-world scenarios.‎

Some of the best online courses for learning linear programming include Industrial Optimization: Models & Linear Programming and Approximation Algorithms and Linear Programming. These courses provide comprehensive insights into the principles and applications of linear programming, making them suitable for both beginners and those looking to deepen their knowledge.‎

Yes. You can start learning linear programming on Coursera for free in two ways:

  1. Preview the first module of many linear programming courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in linear programming, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn linear programming, start by exploring introductory courses that cover the basics of optimization and mathematical modeling. Engage with practical exercises and real-world examples to reinforce your understanding. Utilize online resources, such as forums and study groups, to connect with others and share insights. Consistent practice and application of concepts will help solidify your skills over time.‎

Typical topics covered in linear programming courses include the formulation of linear programming problems, graphical methods, the simplex algorithm, duality, sensitivity analysis, and applications in various fields. Advanced courses may also explore integer programming and network flows, providing a comprehensive understanding of both foundational and complex concepts.‎

For training and upskilling employees in linear programming, courses like Industrial Optimization: Models & Linear Programming are particularly effective.These courses are designed to equip professionals with the necessary skills to apply linear programming techniques in their work, enhancing operational efficiency and decision-making capabilities within organizations."‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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