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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

      University of Colorado Boulder

      Optical Efficiency and Resolution

      Skills you'll gain: Electrical Engineering, Simulation and Simulation Software, Design Software, Engineering Analysis, Numerical Analysis, System Design and Implementation, Engineering Design Process, Applied Mathematics, Physics, Differential Equations

      4.2
      Rating, 4.2 out of 5 stars
      ·
      62 reviews

      Advanced · Course · 1 - 3 Months

    • M

      Macquarie University

      Excel Regression Models for Business Forecasting

      Skills you'll gain: Forecasting, Regression Analysis, Time Series Analysis and Forecasting, Business Mathematics, Microsoft Excel, Statistical Modeling, Trend Analysis, Statistical Analysis, Data Visualization Software

      4.9
      Rating, 4.9 out of 5 stars
      ·
      109 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Carnegie Mellon University

      Statistical Thermodynamics: Molecules to Machines

      Skills you'll gain: Mechanical Engineering, Chemical Engineering, Engineering, Chemical and Biomedical Engineering, Applied Mathematics, Chemistry, Biochemistry, Engineering Analysis, Physics, Molecular, Cellular, and Microbiology, Mathematical Modeling, Physical Science, Probability Distribution

      3.9
      Rating, 3.9 out of 5 stars
      ·
      50 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      U

      University of Colorado Boulder

      Statistics and Applied Data Analysis

      Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Statistical Analysis, Regression Analysis, Statistical Programming, Probability, Probability Distribution, Sampling (Statistics), Box Plots, Histogram, R Programming, Statistical Methods, Scatter Plots, Microsoft Excel, Probability & Statistics, Statistics, Data Import/Export

      4.7
      Rating, 4.7 out of 5 stars
      ·
      33 reviews

      Beginner · Specialization · 3 - 6 Months

    • K

      Korea Advanced Institute of Science and Technology(KAIST)

      Differential Equations Part II Series Solutions

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

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      É

      École normale supérieure

      Statistical Mechanics: Algorithms and Computations

      Skills you'll gain: Sampling (Statistics), Physics, Simulations, Statistical Programming, Computational Logic, Numerical Analysis, Markov Model, Mechanics, Quantitative Research, Algorithms, Programming Principles, Applied Mathematics, Linear Algebra, Integral Calculus

      4.8
      Rating, 4.8 out of 5 stars
      ·
      264 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      T

      The Hong Kong University of Science and Technology

      Social Science Approaches to the Study of Chinese Society Part 1

      Skills you'll gain: Social Sciences, Science and Research, Surveys, Qualitative Research, Research, Research Methodologies, Sociology, Political Sciences, Experimentation, Anthropology, Economics, Demography

      4.7
      Rating, 4.7 out of 5 stars
      ·
      49 reviews

      Beginner · Course · 1 - 3 Months

    • É

      École Polytechnique Fédérale de Lausanne

      Digital Signal Processing 4: Applications

      Skills you'll gain: Digital Communications, Image Analysis, Telecommunications, Electrical and Computer Engineering, Embedded Systems, Electronic Systems, Electronics, Engineering Analysis, Applied Mathematics, Algorithms, Quantitative Research, Debugging, Computer Hardware

      4.7
      Rating, 4.7 out of 5 stars
      ·
      80 reviews

      Intermediate · Course · 1 - 4 Weeks

    • K

      Korea Advanced Institute of Science and Technology(KAIST)

      Differential Equations Part III Systems of Equations

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

      4.1
      Rating, 4.1 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Applied Calculus with Python

      Skills you'll gain: Calculus, Integral Calculus, Applied Mathematics, Graphing, Numerical Analysis, Python Programming, Advanced Mathematics, Mathematical Software, Mathematical Modeling, Derivatives, Programming Principles

      4.9
      Rating, 4.9 out of 5 stars
      ·
      42 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      S

      Shanghai Jiao Tong University

      离散数学

      Skills you'll gain: Combinatorics, Graph Theory, Data Structures, Algorithms, Logical Reasoning, Theoretical Computer Science, Computational Thinking, Computer Science, Applied Mathematics, Computational Logic, Network Analysis, Advanced Mathematics, Analytical Skills, Applied Machine Learning, Analysis

      4.3
      Rating, 4.3 out of 5 stars
      ·
      29 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Maryland, College Park

      Dealing With Missing Data

      Skills you'll gain: Sampling (Statistics), Statistical Programming, Data Cleansing, Data Quality, Data Analysis Software, Statistical Analysis, Statistical Methods, Statistical Modeling, R Programming, Regression Analysis, Statistical Inference

      3.8
      Rating, 3.8 out of 5 stars
      ·
      135 reviews

      Mixed · Course · 1 - 3 Months

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

    • Optical Efficiency and Resolution: University of Colorado Boulder
    • Excel Regression Models for Business Forecasting: Macquarie University
    • Statistical Thermodynamics: Molecules to Machines: Carnegie Mellon University
    • Statistics and Applied Data Analysis: University of Colorado Boulder
    • Differential Equations Part II Series Solutions: Korea Advanced Institute of Science and Technology(KAIST)
    • Statistical Mechanics: Algorithms and Computations: École normale supérieure
    • Social Science Approaches to the Study of Chinese Society Part 1: The Hong Kong University of Science and Technology
    • Digital Signal Processing 4: Applications: École Polytechnique Fédérale de Lausanne
    • Differential Equations Part III Systems of Equations : Korea Advanced Institute of Science and Technology(KAIST)
    • Applied Calculus with Python: Johns Hopkins 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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