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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

    • U

      Universidad Nacional Autónoma de México

      Funciones algebraicas y trascendentes

      Skills you'll gain: Algebra, Mathematical Software, Trigonometry, Mathematical Modeling, General Mathematics, Graphing, Geometry, Arithmetic, Advanced Mathematics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      131 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Pennsylvania

      Exploring Renewable Energy Schemes

      Skills you'll gain: Electric Power Systems, Electrical Power, Electrical Systems, Energy and Utilities, Electrical Safety, Environmental Regulations, Power Electronics, Electrical Equipment, Hydraulics, Basic Electrical Systems, Thermal Management, Equipment Design, Control Systems, Engineering, Semiconductors, Electronic Components, Physics, Applied Mathematics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      647 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Hypothesis Testing in Public Health

      Skills you'll gain: Statistical Hypothesis Testing, Biostatistics, Sampling (Statistics), Statistical Inference, Scientific Methods, Statistical Analysis, Quantitative Research, Medical Science and Research, Probability & Statistics, Public Health

      4.8
      Rating, 4.8 out of 5 stars
      ·
      637 reviews

      Beginner · Course · 1 - 3 Months

    • U

      Universidad Austral

      Estadística aplicada a los negocios

      Skills you'll gain: Regression Analysis, Statistical Inference, Descriptive Statistics, Risk Analysis, Business Risk Management, 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
      ·
      756 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      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
      ·
      210 reviews

      Intermediate · Specialization · 3 - 6 Months

    • 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
      ·
      723 reviews

      Intermediate · Course · 1 - 3 Months

    • É

      École Polytechnique

      Quantum Optics 1 : Single Photons

      Skills you'll gain: Physics, Experimentation, Quantitative Research, Cryptography, Mathematical Modeling, Applied Mathematics, Engineering, Scientific, and Technical Instruments, Emerging Technologies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      332 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University at Buffalo

      Energy: The Enterprise

      Skills you'll gain: Energy and Utilities, Workforce Development, Economics, Project Design, Environment, Environmental Science, Supply And Demand, Innovation, Emerging Technologies, Operational Efficiency

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      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

    • 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
      ·
      141 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Everyday Excel, Part 2

      Skills you'll gain: Regression Analysis, Depreciation, Microsoft Excel, Statistical Modeling, Excel Formulas, Financial Analysis, Cash Flows, Predictive Modeling, Data Management, Financial Modeling, Business Mathematics, Financial Forecasting, Process Optimization, Data Analysis, Complex Problem Solving

      4.7
      Rating, 4.7 out of 5 stars
      ·
      561 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      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

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    1…181920…53

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

    • Funciones algebraicas y trascendentes : Universidad Nacional Autónoma de México
    • Exploring Renewable Energy Schemes: University of Pennsylvania
    • Hypothesis Testing in Public Health : Johns Hopkins University
    • Estadística aplicada a los negocios: Universidad Austral
    • Introduction to Electricity and Magnetism: Rice University
    • Fundamentals of Fluid-Solid Interactions: École Polytechnique
    • Quantum Optics 1 : Single Photons: École Polytechnique
    • Energy: The Enterprise: University at Buffalo
    • Probabilistic Graphical Models 2: Inference: Stanford University
    • Microwave engineering and antennas: Eindhoven University of Technology

    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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