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 TrialJohns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Logistic Regression, Data Analysis, Model Evaluation, Probability & Statistics, Statistical Inference
Status: Free TrialDeepLearning.AI
Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Data Preprocessing, Machine Learning Methods, Advanced Mathematics, Data Manipulation, Applied Mathematics, Mathematical Modeling, Machine Learning, Python Programming, Algebra
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Theoretical Computer Science, Algorithms, Computational Thinking, Pseudocode, Data Structures, Design Strategies, Programming Principles, Computer Science, Advanced Mathematics, Python Programming, Analysis
Status: Free TrialThe Hong Kong University of Science and Technology
Skills you'll gain: Linear Algebra, Engineering Calculations, Algebra, Engineering Analysis, General Mathematics, Advanced Mathematics, Applied Mathematics, Arithmetic, Computational Logic
Status: NewStatus: Free TrialSkills you'll gain: Regression Analysis, Financial Forecasting, Model Evaluation, Data Presentation, Technical Communication, Exploratory Data Analysis, Statistical Programming, R Programming, Statistical Modeling, Predictive Modeling, R (Software), Statistical Analysis, Verification And Validation, Plot (Graphics), Reliability
Status: Free TrialDuke University
Skills you'll gain: Programming Principles, Algorithms, C (Programming Language), Computer Programming, Software Engineering, Problem Solving, Solution Design
Status: Free TrialImperial College London
Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Machine Learning Algorithms, Jupyter, Algorithms, Python Programming
Status: Free TrialUniversity of Pittsburgh
Skills you'll gain: NumPy, Matplotlib, Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Data Visualization, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Visualization Software, Mathematics and Mathematical Modeling, Probability & Statistics, Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning
Status: Free TrialJohns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Linear Algebra, Data Science, Mathematical Modeling, Data Modeling, Statistics, Statistical Analysis, Applied Mathematics, General Mathematics, Derivatives
Status: Free TrialHoward University
Skills you'll gain: Data Wrangling, Linear Algebra, Regression Analysis, NumPy, Predictive Modeling, Dimensionality Reduction, Data Science, Data Visualization, Applied Mathematics, Data Preprocessing, Statistical Modeling, Jupyter, Data Analysis, Machine Learning Methods, Mathematical Modeling, Algebra, Exploratory Data Analysis, Python Programming, Model Evaluation, Statistical Analysis
Status: PreviewUniversity of Washington
Skills you'll gain: Software Installation, Programming Principles, Other Programming Languages, Functional Design, Computer Programming, Ruby (Programming Language), Theoretical Computer Science, Software Design, Computational Thinking
Status: FreeÉcole normale supérieure
Skills you'll gain: Theoretical Computer Science, Combinatorics, Algorithms, Graph Theory, Computational Thinking, Mathematical Modeling, Probability
In summary, here are 10 of our most popular linear programming courses
- Regression Models: Johns Hopkins University
- Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
- Dynamic Programming, Greedy Algorithms: University of Colorado Boulder
- Matrix Algebra for Engineers: The Hong Kong University of Science and Technology
- Regression: Identify Assumptions & Apply Models: Coursera
- Programming Fundamentals: Duke University
- Mathematics for Machine Learning: Linear Algebra: Imperial College London
- Linear Algebra and Regression Fundamentals for Data Science: University of Pittsburgh
- Advanced Linear Models for Data Science 1: Least Squares: Johns Hopkins University
- Linear Algebra for Data Science Using Python: Howard University
