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  • Mathematical Optimization

Mathematical Optimization Courses

Mathematical optimization courses can help you learn linear programming, integer programming, and nonlinear optimization techniques. You can build skills in formulating optimization problems, analyzing constraints, and applying algorithms to find optimal solutions. Many courses introduce tools like Python, R, and MATLAB, which are used to implement optimization models and analyze data effectively.


Popular Mathematical Optimization Courses and Certifications


  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Precalculus: Mathematical Modeling

    Skills you'll gain: Data Analysis, Applied Mathematics, Mathematical Modeling, Analytical Skills, Statistics, Systems Of Measurement, Correlation Analysis, Regression Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    95 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    U

    University of Pennsylvania

    Calculus: Single Variable Part 2 - Differentiation

    Skills you'll gain: Calculus, Applied Mathematics, Derivatives, Engineering Calculations, Advanced Mathematics, Estimation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.2K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Minnesota

    Matrix Methods

    Skills you'll gain: Dimensionality Reduction, NumPy, Linear Algebra, Numerical Analysis, Statistical Methods, Regression Analysis, Mathematical Modeling, Applied Mathematics, Solution Design, Applied Machine Learning, Data Manipulation, Algorithms, Python Programming

    4.1
    Rating, 4.1 out of 5 stars
    ·
    248 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Columbia University

    Computational Methods in Pricing and Model Calibration

    Skills you'll gain: Regression Analysis, Actuarial Science, Derivatives, Financial Market, Statistical Methods, Market Data, Financial Modeling, Securities (Finance), Risk Modeling, Financial Systems, Mathematical Modeling, Numerical Analysis, Applied Mathematics, Python Programming, Process Optimization, Probability Distribution, Algorithms, Case Studies

    4.4
    Rating, 4.4 out of 5 stars
    ·
    43 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Calculus through Data & Modeling: Applying Differentiation

    Skills you'll gain: Applied Mathematics, Estimation, Numerical Analysis, Calculus, Engineering Calculations, Mathematical Modeling, Operations Research, Derivatives, Algebra

    4.7
    Rating, 4.7 out of 5 stars
    ·
    59 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Dynamic Programming, Greedy Algorithms

    Skills you'll gain: Theoretical Computer Science, Algorithms, Computational Thinking, Pseudocode, Data Structures, Design Strategies, Programming Principles, Computer Science, Advanced Mathematics, Python Programming, Analysis

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    236 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    T

    The Hong Kong University of Science and Technology

    Matrix Algebra for Engineers

    Skills you'll gain: Linear Algebra, Engineering Calculations, Algebra, Engineering Analysis, General Mathematics, Advanced Mathematics, Applied Mathematics, Arithmetic, Computational Logic

    4.9
    Rating, 4.9 out of 5 stars
    ·
    4.6K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    É

    École normale supérieure

    Approximation Algorithms Part I

    Skills you'll gain: Theoretical Computer Science, Combinatorics, Algorithms, Graph Theory, Computational Thinking, Mathematical Modeling, Probability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    556 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Linear Algebra for Machine Learning and Data Science

    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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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, Data Modeling, Business Mathematics, Process Optimization, Data-Driven Decision-Making, Microsoft Excel, Decision Making, Linear Algebra, Spreadsheet Software, Graphing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    89 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Supply Chain Optimization

    Skills you'll gain: Supply Chain Planning, Supply Chain Management, Inventory Management System, Process Optimization, Operations Research, Demand Planning, Resource Allocation, Capacity Management, Microsoft Excel, Simulation and Simulation Software, Probability Distribution

    4.5
    Rating, 4.5 out of 5 stars
    ·
    52 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Mathematical Foundations for Cryptography

    Skills you'll gain: Cryptography, Arithmetic, Algorithms, Applied Mathematics, Probability, Computer Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    333 reviews

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular mathematical optimization courses

  • Precalculus: Mathematical Modeling: Johns Hopkins University
  • Calculus: Single Variable Part 2 - Differentiation: University of Pennsylvania
  • Matrix Methods: University of Minnesota
  • Computational Methods in Pricing and Model Calibration: Columbia University
  • Calculus through Data & Modeling: Applying Differentiation: Johns Hopkins University
  • Dynamic Programming, Greedy Algorithms: University of Colorado Boulder
  • Matrix Algebra for Engineers: The Hong Kong University of Science and Technology
  • Approximation Algorithms Part I: École normale supérieure
  • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
  • Optimization for Decision Making: University of Minnesota

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