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
Stanford University
Skills you'll gain: Algorithms, Bioinformatics, Graph Theory, Computational Thinking, Data Structures, Theoretical Computer Science
Stanford University
Skills you'll gain: Algorithms, Graph Theory, Theoretical Computer Science, Network Routing, Computational Thinking, Data Structures, Computer Science
University of Colorado Boulder
Skills you'll gain: Linear Algebra, Applied Mathematics, Data Science, Mathematics and Mathematical Modeling, Data Analysis, Data Modeling, Statistical Methods, Algebra, Numerical Analysis
Skills you'll gain: Model Evaluation, Regression Analysis, Statistical Methods, Model Training, Data Visualization, Statistical Modeling, Plot (Graphics), Feature Engineering, Model Optimization, Predictive Modeling, Data Analysis, R Programming, Supervised Learning, Correlation Analysis, Probability & Statistics, Verification And Validation
Imperial College London
Skills you'll gain: Regression Analysis, Calculus, Model Optimization, Mathematical Software, Numerical Analysis, Applied Mathematics, Applied Machine Learning, Linear Algebra, Artificial Neural Networks, Derivatives
Politecnico di Milano
Skills you'll gain: Product Lifecycle Management, Climate Change Mitigation, Energy and Utilities, Environmental Science, Sustainable Development, Mathematical Modeling, Sustainable Engineering, Sustainable Systems, Analysis, Microsoft Excel, Process Analysis, Data Literacy, Scenario Testing, Model Optimization, Open Source Technology
University of California San Diego
Skills you'll gain: Algorithms, Network Routing, Graph Theory, Theoretical Computer Science, Network Analysis, Computer Science, Big Data, Python Programming, Model Optimization
Logical Operations
Skills you'll gain: Code Reusability, R Programming, Package and Software Management, R (Software), Computer Programming, Data Structures, Software Development, Data Science, Computer Programming Tools, Data Analysis
Duke University
Skills you'll gain: Programming Principles, Algorithms, C (Programming Language), Computer Programming, Program Development, Problem Solving, Solution Design, Computational Logic
Skills you'll gain: Statistical Inference, Statistical Programming, Regression Analysis, Logistic Regression, Statistical Methods, R Programming, Statistical Analysis, Statistical Modeling, R (Software), Predictive Modeling, Model Evaluation, Probability & Statistics, Statistical Hypothesis Testing, Probability Distribution
University of Colorado Boulder
Skills you'll gain: Statistical Modeling, R Programming, Statistical Analysis, Statistical Programming, Data Analysis, R (Software), Data Science, Data Ethics, Statistical Software, Statistical Methods, Regression Analysis, Predictive Modeling, Machine Learning, Logistic Regression, Probability & Statistics, Statistical Inference, Model Evaluation, Probability Distribution, Linear Algebra, Calculus
École normale supérieure
Skills you'll gain: Theoretical Computer Science, Combinatorics, Algorithms, Operations Research, Graph Theory, Applied Mathematics, Model Optimization, Advanced Mathematics, Linear Algebra, Mathematical Modeling, Network Model, Probability, Probability & Statistics
In summary, here are 10 of our most popular linear programming courses
- Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming: Stanford University
- Shortest Paths Revisited, NP-Complete Problems and What To Do About Them: Stanford University
- Essential Linear Algebra for Data Science: University of Colorado Boulder
- Linear Regression with R: Build & Optimize: EDUCBA
- Mathematics for Machine Learning: Multivariate Calculus: Imperial College London
- Modelling and measuring the Energy Transition: Politecnico di Milano
- Advanced Algorithms and Complexity: University of California San Diego
- R Programming: Conditionals, Loops, Functions, and Packages: Logical Operations
- Programming Fundamentals: Duke University
- Variable Selection, Model Validation, Nonlinear Regression: Illinois Tech
