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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
      K

      Koç University

      Doğrusal Cebir II: Kare Matrisler, Hesaplama Yöntemleri ve Uygulamalar / Linear Algebra II: Square Matrices, Calculation Methods and Applications

      Skills you'll gain: Applied Mathematics, Linear Algebra, Differential Equations, Advanced Mathematics, Algebra, Mathematical Modeling, Mathematical Theory & Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      27 reviews

      Mixed · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Advanced Linear Models for Data Science 1: Least Squares

      Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Linear Algebra, Data Science, Mathematical Modeling, Predictive Modeling, Statistical Analysis, Applied Mathematics, Advanced Mathematics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      187 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of Colorado Boulder

      Magnetics for Power Electronic Converters

      Skills you'll gain: Power Electronics, Electrical Engineering, Electronic Components, Mathematical Modeling, Technical Design, Thermal Management, Engineering Analysis, Engineering Design Process, Engineering Calculations, Applied Mathematics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      152 reviews

      Intermediate · Course · 1 - 4 Weeks

    • A

      American Psychological Association

      Methods for Quantitative Research in Psychology

      Skills you'll gain: Quantitative Research, Scientific Methods, Research Design, Research, General Science and Research, Correlation Analysis, Data Collection, Social Sciences, Experimentation, Data Analysis, Psychology, Sampling (Statistics)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      158 reviews

      Beginner · Course · 1 - 3 Months

    • U

      Universidad Autónoma Metropolitana

      Geometría Analítica Preuniversitaria

      Skills you'll gain: Graphing, Geometry, Trigonometry, Algebra, Mathematical Modeling, Applied Mathematics

      4.2
      Rating, 4.2 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      É

      École Polytechnique Fédérale de Lausanne

      Transmission electron microscopy for materials science

      Skills you'll gain: Engineering, Scientific, and Technical Instruments, Semiconductors, Laboratory Equipment, Chemistry, Micrometer, Electronics, Physics, Applied Mathematics, Experimentation, Structural Analysis, Image Analysis, Mathematical Modeling, Qualitative Research

      4.6
      Rating, 4.6 out of 5 stars
      ·
      121 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Columbia University

      Term-Structure and Credit Derivatives

      Skills you'll gain: Derivatives, Mortgage Loans, Securities (Finance), Credit Risk, Financial Modeling, Risk Modeling, Financial Market, Actuarial Science, Mathematical Modeling, Securities Trading, Applied Mathematics, Investment Banking, Microsoft Excel, Risk Analysis, Probability, Cash Flows, Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      59 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of London

      Quantitative Foundations for International Business

      Skills you'll gain: Business Mathematics, Linear Algebra, Mathematical Modeling, Calculus, Financial Modeling, Algebra, Business Economics, Graphing

      4.1
      Rating, 4.1 out of 5 stars
      ·
      420 reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Data Collection: Online, Telephone and Face-to-face

      Skills you'll gain: Surveys, Interviewing Skills, Data Collection, Sampling (Statistics), Unstructured Data, Research Methodologies, Data Capture, Qualitative Research, Data Validation, Data Quality

      4.6
      Rating, 4.6 out of 5 stars
      ·
      346 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      P

      Peking University

      医学统计学与SPSS软件(基础篇)

      Skills you'll gain: Statistical Hypothesis Testing, SPSS, Statistical Analysis, Statistical Methods, Sampling (Statistics), Descriptive Statistics, Correlation Analysis, Regression Analysis, Probability & Statistics, Statistical Inference, Data Analysis Software

      4.6
      Rating, 4.6 out of 5 stars
      ·
      152 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      É

      École Polytechnique

      Mécanique quantique

      Skills you'll gain: Physics, Mechanics, Semiconductors, Linear Algebra, Probability, Calculus, Differential Equations, Advanced Mathematics, Mathematical Modeling, Experimentation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      149 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      É

      École Polytechnique

      Quantum Optics 2 - Two photons and more

      Skills you'll gain: Emerging Technologies, Telecommunications, Cryptography, Network Planning And Design, Simulation and Simulation Software, Physics, Engineering, Scientific, and Technical Instruments, Applied Mathematics, Algorithms, Experimentation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      127 reviews

      Mixed · Course · 1 - 3 Months

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    1…242526…52

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

    • Doğrusal Cebir II: Kare Matrisler, Hesaplama Yöntemleri ve Uygulamalar / Linear Algebra II: Square Matrices, Calculation Methods and Applications: Koç University
    • Advanced Linear Models for Data Science 1: Least Squares: Johns Hopkins University
    • Magnetics for Power Electronic Converters: University of Colorado Boulder
    • Methods for Quantitative Research in Psychology: American Psychological Association
    • Geometría Analítica Preuniversitaria: Universidad Autónoma Metropolitana
    • Transmission electron microscopy for materials science: École Polytechnique Fédérale de Lausanne
    • Term-Structure and Credit Derivatives : Columbia University
    • Quantitative Foundations for International Business: University of London
    • Data Collection: Online, Telephone and Face-to-face: University of Michigan
    • 医学统计学与SPSS软件(基础篇): Peking University

    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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