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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: Preview
    Preview
    U

    University of Amsterdam

    Logic for Economists

    Skills you'll gain: Computational Logic, Logical Reasoning, Deductive Reasoning, General Mathematics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    298 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Statistics for Data Science

    Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, R Programming, Biostatistics, Data Science, Statistics, Probability Distribution, Mathematical Modeling, Data Analysis, Applied Mathematics, Predictive Modeling

    4.4
    Rating, 4.4 out of 5 stars
    ·
    777 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistical Thermodynamics

    Skills you'll gain: Chemical Engineering, Quantitative Research, Chemistry, Thermal Management, Mechanical Engineering, Engineering Calculations, Numerical Analysis, Engineering Analysis, Statistical Methods, Differential Equations, Physics, Engineering, Simulation and Simulation Software, Mechanics, Probability Distribution, Mathematical Modeling, Applied Mathematics, Materials science, Simulations, Physical Science

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.1K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Unstructured Data, Natural Language Processing, Algorithms, Computational Thinking, Test Data

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Semiconductor Devices

    Skills you'll gain: Semiconductors, Electronic Components, Power Electronics, Electrical Engineering, Materials science, Electronics Engineering, Electronics, Physics, Mathematical Modeling, Applied Mathematics, Engineering Calculations

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    605 reviews

    Advanced · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Optical Engineering

    Skills you'll gain: Electrical Engineering, Image Quality, Engineering, Scientific, and Technical Instruments, Display Devices, System Design and Implementation, Engineering Design Process, Engineering Analysis, Image Analysis, Design Software, Numerical Analysis, Simulation and Simulation Software, Systems Design, Mathematical Modeling, Human Factors, Engineering Calculations, Technical Design, Graphical Tools, Physics, Applied Mathematics, Differential Equations

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    ·
    370 reviews

    Advanced · Specialization · 3 - 6 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Spacecraft Formation Relative Orbits

    Skills you'll gain: Control Systems, Systems Engineering, Mechanics, Numerical Analysis, Differential Equations, Mathematical Modeling, Simulation and Simulation Software, Engineering Analysis, Simulations, Engineering Calculations, Advanced Mathematics, Linear Algebra, Engineering Design Process, Applied Mathematics, Physics, Calculus, Mathematical Theory & Analysis

    5
    Rating, 5 out of 5 stars
    ·
    8 reviews

    Advanced · Specialization · 1 - 3 Months

  • E

    EIT Digital

    I/O-efficient algorithms

    Skills you'll gain: Data Structures, Theoretical Computer Science, Data Storage Technologies, Algorithms, Graph Theory, File Systems, Data Access, Performance Tuning, Computer Hardware

    4.6
    Rating, 4.6 out of 5 stars
    ·
    60 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free
    Free
    P

    Princeton University

    Analysis of Algorithms

    Skills you'll gain: Combinatorics, Algorithms, Theoretical Computer Science, Mathematical Theory & Analysis, Graph Theory, Data Structures, Advanced Mathematics, Mathematical Modeling, Probability

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1K reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Spacecraft Relative Motion Kinematics and Kinetics

    Skills you'll gain: Mechanics, Differential Equations, Mathematical Modeling, Engineering Analysis, Advanced Mathematics, Linear Algebra, Engineering Calculations, Simulation and Simulation Software, Applied Mathematics, Physics, Calculus

    5
    Rating, 5 out of 5 stars
    ·
    8 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    É

    École Polytechnique

    Density Functional Theory

    Skills you'll gain: Materials science, Differential Equations, Numerical Analysis, Applied Mathematics, Chemistry, Physics, Calculus

    4.9
    Rating, 4.9 out of 5 stars
    ·
    243 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    É

    École Polytechnique Fédérale de Lausanne

    Interest Rate Models

    Skills you'll gain: Derivatives, Financial Market, Risk Management, Investments, Financial Modeling, Market Data, Mathematical Modeling, Finance, Probability, Statistical Modeling, Estimation, Applied Mathematics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    195 reviews

    Advanced · Course · 1 - 3 Months

Mathematics learners also search

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1234

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

  • Logic for Economists: University of Amsterdam
  • Advanced Statistics for Data Science: Johns Hopkins University
  • Statistical Thermodynamics: University of Colorado Boulder
  • Probabilistic Graphical Models: Stanford University
  • Semiconductor Devices: University of Colorado Boulder
  • Optical Engineering: University of Colorado Boulder
  • Spacecraft Formation Relative Orbits: University of Colorado Boulder
  • I/O-efficient algorithms: EIT Digital
  • Analysis of Algorithms: Princeton University
  • Spacecraft Relative Motion Kinematics and Kinetics: University of Colorado Boulder

Frequently Asked Questions about Mathematics

Browse the mathematics courses below—popular starting points on Coursera.

  • Basic Engineering Mathematics: Birla Institute of Technology & Science, Pilani
  • Mathematics for Machine Learning and Data Science: DeepLearning.AI
  • Honors Algebra 2: Johns Hopkins University
  • Introduction to Mathematical Thinking: Stanford University
  • Foundational Mathematics for AI: Johns Hopkins University
  • Mathematics for Engineers: The Hong Kong University of Science and Technology
  • Mathematics for Machine Learning: Imperial College London
  • Algebra: Elementary to Advanced: Johns Hopkins University‎

Yes. You can start learning mathematics on Coursera for free in two ways:

  • Preview the first module of many mathematics courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  • Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in mathematics, or unlock full course access after the preview or trial, you can 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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