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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.


More to explore:

Popular Linear Programming Courses and Certifications


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    S

    Sungkyunkwan University

    Machine Learning Basics

    Skills you'll gain: Machine Learning, Python Programming, Supervised Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Logistic Regression, Applied Machine Learning, Regression Analysis, Classification Algorithms, Statistical Methods, Linear Algebra

    4.4
    Rating, 4.4 out of 5 stars
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    92 reviews

    Mixed · Course · 1 - 4 Weeks

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    K

    Korea Advanced Institute of Science and Technology(KAIST)

    Differential Equations Part I Basic Theory

    Skills you'll gain: Differential Equations, Applied Mathematics, Mathematical Modeling, Calculus, Vibrations, Mechanics

    4.7
    Rating, 4.7 out of 5 stars
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    1.4K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University at Buffalo

    Smart Contracts

    Skills you'll gain: Blockchain, Program Development, Development Environment, Web Language, Web Development Tools, Integrated Development Environments, Programming Principles, Solution Design, Business Logic, Event-Driven Programming, Transaction Processing, Data Validation

    4.6
    Rating, 4.6 out of 5 stars
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    2.3K reviews

    Intermediate · Course · 1 - 4 Weeks

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    I

    IBM

    Data Visualization with R

    Skills you'll gain: Ggplot2, Data Visualization Software, Data Visualization, Statistical Visualization, Rmarkdown, Shiny (R Package), Dashboard, Leaflet (Software), Interactive Data Visualization, R Programming, Scatter Plots, Box Plots, Spatial Data Analysis, Histogram, Data Science, Data Analysis, User Interface (UI), UI Components

    4.6
    Rating, 4.6 out of 5 stars
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    270 reviews

    Beginner · Course · 1 - 4 Weeks

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    I

    IBM

    Introduction to HTML, CSS, & JavaScript

    Skills you'll gain: Responsive Web Design, Cascading Style Sheets (CSS), Web Development, Javascript, Bootstrap (Front-End Framework), Scripting, Browser Compatibility, Application Programming Interface (API), Back-End Web Development

    4.4
    Rating, 4.4 out of 5 stars
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    810 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Agile Planning for Software Products

    Skills you'll gain: Project Planning, Sprint Planning, Risk Management Framework, Agile Software Development, User Story, Agile Methodology, User Requirements Documents, Functional Requirement, Agile Project Management, Requirements Analysis, Software Development

    4.8
    Rating, 4.8 out of 5 stars
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    2.1K reviews

    Mixed · Course · 1 - 4 Weeks

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    G

    Google AR & VR

    Introduction to Augmented Reality and ARCore

    Skills you'll gain: Augmented Reality, Augmented and Virtual Reality (AR/VR), Virtual Environment, 3D Assets, Unity Engine, User Experience Design, Mobile Development, User Experience, Computer Vision, User Interface and User Experience (UI/UX) Design, User Flows

    4.5
    Rating, 4.5 out of 5 stars
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    3.9K reviews

    Beginner · Course · 1 - 4 Weeks

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    I

    IBM

    Statistics for Data Science with Python

    Skills you'll gain: Descriptive Statistics, Data Visualization, Statistical Analysis, Data Analysis, Probability Distribution, Statistics, Statistical Hypothesis Testing, Data Science, Statistical Programming, Data Visualization Software, Probability & Statistics, Jupyter, Regression Analysis, Correlation Analysis, Matplotlib, Pandas (Python Package)

    4.5
    Rating, 4.5 out of 5 stars
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    461 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
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    J

    Johns Hopkins University

    Developing Data Products

    Skills you'll gain: Shiny (R Package), Rmarkdown, Plotly, Interactive Data Visualization, Data Presentation, Data Visualization Software, R Programming, Data Mapping, Statistical Reporting, Software Documentation, Web Applications, Package and Software Management

    4.6
    Rating, 4.6 out of 5 stars
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    2.3K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
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    D

    Duke University

    Python, Bash and SQL Essentials for Data Engineering

    Skills you'll gain: Pandas (Python Package), Bash (Scripting Language), Version Control, Jupyter, Linux Commands, Git (Version Control System), Shell Script, Linux, Web Scraping, Linux Administration, Data Manipulation, MySQL, Microservices, AWS SageMaker, SQL, JSON, Cloud Engineering, Python Programming, Big Data, Data Science

    4.5
    Rating, 4.5 out of 5 stars
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    468 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    U

    University of California, Santa Cruz

    Bayesian Statistics: Techniques and Models

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Model Evaluation, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Data Analysis, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
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    495 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    D

    Duke University

    DevOps, DataOps, MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Containerization, Tensorflow, Rust (Programming Language), Microsoft Copilot, DevOps, Hugging Face, Applied Machine Learning, Cloud Solutions, CI/CD, Machine Learning, Serverless Computing, Docker (Software), GitHub, Big Data

    4.1
    Rating, 4.1 out of 5 stars
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    217 reviews

    Advanced · Course · 1 - 3 Months

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

  • Machine Learning Basics: Sungkyunkwan University
  • Differential Equations Part I Basic Theory: Korea Advanced Institute of Science and Technology(KAIST)
  • Smart Contracts: University at Buffalo
  • Data Visualization with R: IBM
  • Introduction to HTML, CSS, & JavaScript: IBM
  • Agile Planning for Software Products: University of Alberta
  • Introduction to Augmented Reality and ARCore: Google AR & VR
  • Statistics for Data Science with Python: IBM
  • Developing Data Products: Johns Hopkins University
  • Python, Bash and SQL Essentials for Data Engineering: Duke University

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