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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

    • T

      The Hong Kong University of Science and Technology

      Understanding Modern Physics II: Quantum Mechanics and Atoms

      Skills you'll gain: Physics, Laboratory Experience, Experimentation, Advanced Mathematics, Physical Science, Mathematical Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      55 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Maryland, College Park

      Exploring Quantum Physics

      Skills you'll gain: Physics, Quantitative Research, Science and Research, Mechanics, Physical Science, Chemistry, Advanced Mathematics, Linear Algebra, Calculus, Mathematical Modeling, Engineering Analysis, Differential Equations

      4.2
      Rating, 4.2 out of 5 stars
      ·
      67 reviews

      Mixed · Course · 1 - 3 Months

    • 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 Trial
      Free Trial
      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
      ·
      160 reviews

      Beginner · Course · 1 - 3 Months

    • 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
      ·
      756 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Introducción a las Simulaciones PhET para la Educación STEM

      Skills you'll gain: Interactive Learning, Pedagogy, Education Software and Technology, Mathematics Education, Simulations, Web Content Accessibility Guidelines

      4.9
      Rating, 4.9 out of 5 stars
      ·
      563 reviews

      Beginner · Course · 1 - 3 Months

    • K

      Koç University

      Çok değişkenli Fonksiyon II: Uygulamalar / Multivariable Calculus II: Applications

      Skills you'll gain: Integral Calculus, Calculus, Differential Equations, Advanced Mathematics, Applied Mathematics, Engineering Analysis, Linear Algebra, Mathematical Theory & Analysis, Physics, Derivatives

      4.4
      Rating, 4.4 out of 5 stars
      ·
      14 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Mathematical Biostatistics Boot Camp 2

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Statistical Methods, Probability & Statistics, Statistical Inference, Biostatistics, Sampling (Statistics), Data Analysis, Sample Size Determination, Risk Analysis, Probability Distribution

      4.3
      Rating, 4.3 out of 5 stars
      ·
      133 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      The Complete Quantum Computing Course for Beginners

      Skills you'll gain: Object Oriented Programming (OOP), Python Programming, Data Structures, Data Manipulation, Computer Programming, Applied Mathematics, Algorithms, Mathematics and Mathematical Modeling, Data Processing, Scripting, Linear Algebra, Probability, Mathematical Modeling, IBM Cloud, Computer Science, Algebra, Software Installation, Probability & Statistics, Theoretical Computer Science, Artificial Intelligence and Machine Learning (AI/ML)

      4.3
      Rating, 4.3 out of 5 stars
      ·
      34 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Developing the SIR Model

      Skills you'll gain: Epidemiology, Infectious Diseases, Mathematical Modeling, Public Health, R Programming, Differential Equations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      271 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      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

    • N

      National Taiwan University

      Operations Research (3): Theory

      Skills you'll gain: Operations Research, Network Model, Statistical Machine Learning, Applied Mathematics, Mathematical Modeling, Machine Learning, Transportation Operations, Process Optimization, Advanced Mathematics, Linear Algebra, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      91 reviews

      Advanced · Course · 1 - 3 Months

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    1…242526…52

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

    • Understanding Modern Physics II: Quantum Mechanics and Atoms: The Hong Kong University of Science and Technology
    • Exploring Quantum Physics: University of Maryland, College Park
    • 医学统计学与SPSS软件(基础篇): Peking University
    • Methods for Quantitative Research in Psychology: American Psychological Association
    • Estadística aplicada a los negocios: Universidad Austral
    • Introducción a las Simulaciones PhET para la Educación STEM: University of Colorado Boulder
    • Çok deÄŸiÅŸkenli Fonksiyon II: Uygulamalar / Multivariable Calculus II: Applications: Koç University
    • Mathematical Biostatistics Boot Camp 2: Johns Hopkins University
    • The Complete Quantum Computing Course for Beginners: Packt
    • Developing the SIR Model: Imperial College London

    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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