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
Johns Hopkins University
Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Geometry, Applied Machine Learning, Markov Model
The Hong Kong University of Science and Technology
Skills you'll gain: Linear Algebra, Engineering Calculations, Algebra, Engineering Analysis, General Mathematics, Advanced Mathematics, Mathematics and Mathematical Modeling, Applied Mathematics
Johns Hopkins University
Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Geometry, Applied Mathematics, Algebra
The Chinese University of Hong Kong
Skills you'll gain: Operations Research, Model Optimization, Mathematical Modeling, Problem Solving, Process Modeling, Mathematical Software, Combinatorics, Graph Theory, Computational Logic, Computational Thinking, Data Modeling
Illinois Tech
Skills you'll gain: Statistical Inference, Regression Analysis, R Programming, Statistical Methods, Statistical Analysis, Statistical Modeling, R (Software), Statistical Software, Data Science, Correlation Analysis, Data Analysis, Probability & Statistics, Linear Algebra
Johns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Logistic Regression, Data Science, Data Analysis, Statistical Methods, Model Evaluation, Predictive Modeling, Probability & Statistics, Statistical Inference, Statistical Hypothesis Testing, Probability Distribution
University of Pittsburgh
Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Plot (Graphics), Statistics, Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning
Stanford University
Skills you'll gain: Algorithms, Bioinformatics, Graph Theory, Computational Thinking, Data Structures, Theoretical Computer Science
DeepLearning.AI
Skills you'll gain: Linear Algebra, Dimensionality Reduction, Mathematical Software, Machine Learning Methods, Data Transformation, Data Manipulation, Applied Mathematics, Machine Learning, Python Programming, Algebra, Image Analysis
National Taiwan University
Skills you'll gain: Operations Research, Linear Algebra, Numerical Analysis, Applied Mathematics, Model Optimization, Algorithms, Program Implementation, Mathematical Software, Computational Thinking, Mathematical Modeling, Resource Allocation, Decision Making, Calculus, Business Analytics
Corporate Finance Institute
Skills you'll gain: Regression Analysis, Correlation Analysis, Advanced Analytics, Statistical Methods, Statistical Modeling, Statistical Analysis, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Microsoft Excel, Statistical Programming, Data Analysis Software, Model Evaluation
Imperial College London
Skills you'll gain: Linear Algebra, Applied Mathematics, Jupyter, Data Science, Data Manipulation, Data Transformation, Machine Learning
In summary, here are 10 of our most popular linear programming courses
- Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors: Johns Hopkins University
- Matrix Algebra for Engineers: The Hong Kong University of Science and Technology
- Linear Algebra: Orthogonality and Diagonalization: Johns Hopkins University
- Basic Modeling for Discrete Optimization: The Chinese University of Hong Kong
- Linear Regression: Illinois Tech
- Regression Models: Johns Hopkins University
- Mathematical Foundations for Data Science and Analytics: University of Pittsburgh
- Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming: Stanford University
- Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
- Operations Research (2): Optimization Algorithms: National Taiwan University
