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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
      T

      The Hong Kong University of Science and Technology

      Fibonacci Numbers and the Golden Ratio

      Skills you'll gain: Arithmetic, Geometry, Algebra, Mathematical Modeling, General Mathematics, Advanced Mathematics, Applied Mathematics, Logical Reasoning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of London

      Mathematics for Computer Science

      Skills you'll gain: Arithmetic, Computer Science, Computational Thinking, Mathematical Theory & Analysis, General Mathematics, Algebra, Applied Mathematics, Systems Of Measurement, Logical Reasoning

      4.1
      Rating, 4.1 out of 5 stars
      ·
      244 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      K

      Korea Advanced Institute of Science and Technology(KAIST)

      Differential Equations Part I Basic Theory

      Skills you'll gain: Differential Equations, Mathematical Modeling, Applied Mathematics, Calculus, Vibrations, Mechanics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Mathematics for Machine Learning: Multivariate Calculus

      Skills you'll gain: Regression Analysis, Calculus, Integral Calculus, Machine Learning Methods, Statistical Analysis, Advanced Mathematics, Linear Algebra, Mathematical Modeling, Artificial Neural Networks, Predictive Modeling, Derivatives

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.7K reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Improving Math Engagement with Prodigy

      Skills you'll gain: Mathematics Education, Education Software and Technology

      4.7
      Rating, 4.7 out of 5 stars
      ·
      83 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Preview
      Preview
      U

      University of Pennsylvania

      English for Science, Technology, Engineering, and Mathematics

      Skills you'll gain: Research, Science and Research, Research Methodologies, Experimentation, Language Competency, English Language, General Science and Research, Technical Communication, Environment, Oral Comprehension, Energy and Utilities, Vocabulary, Emerging Technologies, Environmental Science, Grammar, Innovation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.9K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Precalculus through Data and Modelling

      Skills you'll gain: Mathematical Modeling, Graphing, Data Analysis, Trigonometry, R Programming, Algebra, Regression Analysis, Correlation Analysis, Applied Mathematics, Statistical Analysis, Systems Of Measurement, Geometry

      4.7
      Rating, 4.7 out of 5 stars
      ·
      310 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      J

      Johns Hopkins University

      Honors Algebra 2: Linear and Quadratic Functions

      Skills you'll gain: Algebra, Correlation Analysis, Linear Algebra, Mathematical Modeling, Graphing, Applied Mathematics, Regression Analysis

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      P

      Peking University

      离散数学概论 Discrete Mathematics Generality

      Skills you'll gain: Theoretical Computer Science, Computational Logic, Graph Theory, Logical Reasoning, Deductive Reasoning, Mathematics and Mathematical Modeling, Spatial Analysis, Computational Thinking, Network Analysis, Algebra, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      280 reviews

      Beginner · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Precalculus: Relations and Functions

      Skills you'll gain: Graphing, Data Analysis, Mathematical Modeling, R Programming, Algebra, Applied Mathematics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      217 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Data Analysis with R

      Skills you'll gain: Sampling (Statistics), Statistical Hypothesis Testing, Regression Analysis, Exploratory Data Analysis, Statistical Inference, R Programming, Bayesian Statistics, Data Analysis, Probability Distribution, Probability, Statistics, Quantitative Research, Statistical Analysis, Probability & Statistics, Correlation Analysis, Statistical Modeling, Mathematical Modeling, Predictive Modeling, Descriptive Statistics, Data Visualization

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of London

      Introduction to Computer Science and Programming

      Skills you'll gain: Debugging, Computer Science, Computer Systems, Arithmetic, Computer Networking, Web Applications, Cybersecurity, Computer Graphics, Visualization (Computer Graphics), Computer Programming, Development Environment, Web Servers, Data Management, Servers, Maintainability, Computational Thinking, Mathematical Theory & Analysis, Javascript, General Mathematics, Problem Solving

      Build toward a degree

      4.2
      Rating, 4.2 out of 5 stars
      ·
      1.5K reviews

      Beginner · Specialization · 1 - 3 Months

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

    • Fibonacci Numbers and the Golden Ratio: The Hong Kong University of Science and Technology
    • Mathematics for Computer Science: University of London
    • Differential Equations Part I Basic Theory: Korea Advanced Institute of Science and Technology(KAIST)
    • Mathematics for Machine Learning: Multivariate Calculus: Imperial College London
    • Improving Math Engagement with Prodigy: Coursera Project Network
    • English for Science, Technology, Engineering, and Mathematics: University of Pennsylvania
    • Precalculus through Data and Modelling: Johns Hopkins University
    • Honors Algebra 2: Linear and Quadratic Functions: Johns Hopkins University
    • 离散数学概论 Discrete Mathematics Generality: Peking University
    • Precalculus: Relations and Functions: 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.

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