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    Mathematics Courses

    Mathematics courses can help you learn how to think analytically, solve problems logically, and apply quantitative reasoning across academic and professional fields.

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    Find the Best Mathematics Course for Your Goals

    • Status: Free
      Free
      É

      École Polytechnique

      Fundamentals of Fluid-Solid Interactions

      Skills you'll gain: Vibrations, Engineering Analysis, Civil Engineering, Mechanical Engineering, Engineering, Mechanics, Chemical and Biomedical Engineering, Applied Mathematics, Mathematical Modeling, Differential Equations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      722 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      Universidad de los Andes

      Fundamentos de probabilidad y aplicaciones

      Skills you'll gain: Probability, Probability Distribution, Applied Mathematics, Statistics, Risk Management, Risk Modeling, Combinatorics, Descriptive Statistics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      171 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Kinematics: Describing the Motions of Spacecraft

      Skills you'll gain: Mechanics, Linear Algebra, Numerical Analysis, Engineering Calculations, Engineering Analysis, Differential Equations, Physics, Mathematical Modeling, Applied Mathematics, Verification And Validation, Advanced Mathematics, Estimation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      332 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      Universidad Austral

      Estadística aplicada a los negocios

      Skills you'll gain: Regression Analysis, Statistical Inference, Descriptive Statistics, Business Risk Management, Risk Analysis, Business Analytics, Statistics, Sampling (Statistics), Microsoft Excel, Data Analysis, Probability, Statistical Analysis, Data-Driven Decision-Making, Probability Distribution, Statistical Modeling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      755 reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      Stanford University

      Probabilistic Graphical Models 2: Inference

      Skills you'll gain: Bayesian Network, Bayesian Statistics, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      488 reviews

      Advanced · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Aprendizaje Activo STEM con Simulaciones Interactivas PhET

      Skills you'll gain: Interactive Learning, Education Software and Technology, Pedagogy, Mathematics Education, Simulation and Simulation Software, Simulations, Interactive Design, Web Content Accessibility Guidelines, Experimentation, User Feedback, Scientific Visualization, Chemistry, Graphing, Physics, Biology, Algebra, Geometry

      4.9
      Rating, 4.9 out of 5 stars
      ·
      665 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      L

      Ludwig-Maximilians-Universität München (LMU)

      Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python

      Skills you'll gain: Finite Element Methods, Numerical Analysis, Engineering Analysis, Jupyter, Differential Equations, Applied Mathematics, NumPy, Mathematical Modeling, Distributed Computing, Python Programming, Mechanics, Vibrations, Linear Algebra, Simulations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      386 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      É

      École Polytechnique Fédérale de Lausanne

      Analyse numérique pour ingénieurs

      Skills you'll gain: Numerical Analysis, Engineering Analysis, Engineering Calculations, Differential Equations, Matlab, Applied Mathematics, Calculus, Linear Algebra, Mathematical Modeling, Integral Calculus, Mathematical Theory & Analysis, Advanced Mathematics, Estimation, Algorithms, Derivatives

      4.5
      Rating, 4.5 out of 5 stars
      ·
      108 reviews

      Intermediate · Course · 1 - 3 Months

    • R

      Rice University

      Introduction to Electricity and Magnetism

      Skills you'll gain: Basic Electrical Systems, Electrical Engineering, Torque (Physics), Physics, Electrical Systems, Engineering Analysis, Electronic Components, Mechanics, Electronic Systems, Mathematical Modeling, Applied Mathematics, Engineering Calculations, Calculus, Advanced Mathematics, Trigonometry, Linear Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      209 reviews

      Intermediate · Specialization · 3 - 6 Months

    • I

      ISAE-SUPAERO

      Flight mechanics - The basis

      Skills you'll gain: Mechanics, Simulations, Engineering Calculations, Physics, Applied Mathematics, Energy and Utilities, Engineering Analysis, Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      448 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      E

      Eindhoven University of Technology

      Microwave engineering and antennas

      Skills you'll gain: Electronics Engineering, Telecommunications, Electrical Engineering, Electronic Systems, Wireless Networks, Engineering Design Process, Simulation and Simulation Software, Engineering Analysis, Computer-Aided Design, Physics, Applied Mathematics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      140 reviews

      Intermediate · Course · 1 - 3 Months

    • N

      Northwestern University

      Modern Robotics, Course 2: Robot Kinematics

      Skills you'll gain: Mathematical Modeling, Machine Controls, Automation Engineering, Engineering Calculations, Applied Mathematics, Engineering Analysis, Mechanics, Computational Logic, Simulation and Simulation Software, Virtual Environment, Torque (Physics), Numerical Analysis, Linear Algebra, Trigonometry, Control Systems

      4.9
      Rating, 4.9 out of 5 stars
      ·
      295 reviews

      Intermediate · Course · 1 - 4 Weeks

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    In summary, here are 10 of our most popular mathematics courses

    • Fundamentals of Fluid-Solid Interactions: École Polytechnique
    • Fundamentos de probabilidad y aplicaciones: Universidad de los Andes
    • Kinematics: Describing the Motions of Spacecraft: University of Colorado Boulder
    • Estadística aplicada a los negocios: Universidad Austral
    • Probabilistic Graphical Models 2: Inference: Stanford University
    • Aprendizaje Activo STEM con Simulaciones Interactivas PhET: University of Colorado Boulder
    • Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python: Ludwig-Maximilians-Universität München (LMU)
    • Analyse numérique pour ingénieurs: École Polytechnique Fédérale de Lausanne
    • Introduction to Electricity and Magnetism: Rice University
    • Flight mechanics - The basis: ISAE-SUPAERO

    Why Learn Mathematics?

    Mathematics is the language of patterns, structures, and logical thinking—used to model real-world systems and solve complex problems. It underpins disciplines like science, engineering, finance, and data analytics. Learning mathematics can strengthen your problem-solving skills, support academic success, and open doors to a wide range of careers.

    Frequently Asked Questions about Mathematics

    Top courses include Introduction to Mathematical Thinking from Stanford University, Mathematics for Machine Learning and Data Science from DeepLearning.AI, and Introduction to Discrete Mathematics for Computer Science from UC San Diego. These programs cover topics from basic algebra to calculus, linear algebra, and applications in data science.‎

    Yes. Many mathematics courses offer a free audit option, allowing learners to access video lessons and reading materials at no cost. To complete assignments or earn a certificate, you’ll need to upgrade or apply for financial aid.‎

    You’ll learn core topics like algebra, calculus, probability, and discrete mathematics. Some courses also cover applied topics like statistics, mathematical modeling, and math for engineering or computer science.‎

    Not at all. Many Coursera courses are beginner-friendly and start with foundational concepts, making them great for learners who want to build skills step by step. Advanced learners can find specialized courses on topics like differential equations, linear algebra, or mathematical proofs.‎

    Yes. Mathematics is essential in many fields, including engineering, economics, data science, and computer programming. Coursera courses can help you build skills that support academic success, strengthen job readiness, and open doors to careers in STEM and analytical roles.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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