Mathematical Modeling

Mathematical Modeling is a method of using mathematical structures and concepts to represent real-world scenarios or predict future outcomes. Coursera's Mathematical Modeling catalogue teaches you to create and analyze the effectiveness of models to solve complex problems across various fields including finance, engineering, physics, and more. You'll learn about various forms of modeling such as linear, probabilistic, and dynamic modeling. You'll also grasp the nuances of model validation, refinement, and interpretation to ensure the model's accuracy and usability. This skill set will enable you to apply theoretical knowledge to practical situations, advancing your problem-solving and critical thinking skills.
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Results for "mathematical modeling"

  • Status: Preview

    Northwestern University

    Skills you'll gain: Automation Engineering, Mathematical Modeling, Computer Programming Tools, Simulation and Simulation Software, Mechanical Engineering, Engineering Calculations, Software Development Tools, Numerical Analysis, Mechanics, Torque (Physics), Algorithms, Control Systems, Applied Mathematics, Differential Equations, Linear Algebra

    Intermediate · Course · 1 - 4 Weeks

  • Universidad de los Andes

    Skills you'll gain: Social Network Analysis, Network Analysis, Data Storytelling, Marketing Analytics, Data Visualization, Data Presentation, Predictive Modeling, Product Marketing, Target Market, Strategic Marketing, Financial Statement Analysis, Predictive Analytics, Financial Data, Marketing Management, Statistical Analysis, Random Forest Algorithm, Operations Research, Pandas (Python Package), Natural Language Processing, Mathematical Modeling

    Credit offered

    Mastertrack · 6 - 12 Months

  • University of Huddersfield

    Skills you'll gain: Calculus, Matplotlib, Integral Calculus, Differential Equations, Engineering Calculations, Data Visualization Software, Advanced Mathematics, Applied Mathematics, Python Programming, Data Analysis, Engineering Analysis, Mathematical Modeling, Data Manipulation, Statistical Analysis, Data Structures, Computer Programming, Pandas (Python Package), Debugging, Analytical Skills, Derivatives

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    Degree · 1 - 4 Years

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