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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

    • 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, Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      60 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Implementación de Actividades PhET para la Educación STEM

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

      4.9
      Rating, 4.9 out of 5 stars
      ·
      74 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      Universidad Nacional de Colombia

      Más que química

      Skills you'll gain: Chemistry, Systems Of Measurement, Chemical Engineering, Biochemistry, Physical Science, Applied Mathematics, General Science and Research, Scientific Methods, Engineering

      4.9
      Rating, 4.9 out of 5 stars
      ·
      74 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Statistical Methods for Computer Science

      Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Statistical Methods, Combinatorics, Bayesian Network, Statistical Hypothesis Testing, Data Analysis, Probability, Probability & Statistics, Bayesian Statistics, Probability Distribution, Simulations, Data Science, Markov Model, Applied Mathematics, Graph Theory, Statistics

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      K

      Korea Advanced Institute of Science and Technology(KAIST)

      Applied Math for Materials Science and Engineering

      Skills you'll gain: Integral Calculus, Calculus, Engineering Calculations, Advanced Mathematics, Applied Mathematics, Mathematical Theory & Analysis, Engineering Analysis, General Mathematics, Mathematical Modeling, Differential Equations, Derivatives

      Intermediate · Course · 1 - 4 Weeks

    • U

      Universidad Austral

      Red de sentidos: Arte, educación y procesos creativos

      Skills you'll gain: Art History, Teaching, Instructional and Curriculum Design, Pedagogy, Aesthetics, Mathematics Education, Curriculum Development, Culture, Liberal Arts, Creativity, Creative Thinking, Geometry, Research, Collaboration, Science and Research, Critical Thinking

      4.9
      Rating, 4.9 out of 5 stars
      ·
      119 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Design of High-Performance Optical Systems

      Skills you'll gain: Engineering, Scientific, and Technical Instruments, Image Analysis, Laboratory Equipment, Systems Design, Human Factors, Engineering Calculations, Technical Design, Simulation and Simulation Software, Engineering Design Process, Mathematical Modeling, Applied Mathematics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      49 reviews

      Advanced · Course · 1 - 3 Months

    • U

      Universidad de los Andes

      Introducción al análisis de sistemas de control con MATLAB

      Skills you'll gain: Control Systems, Mathematical Modeling, Matlab, Systems Analysis, Simulations, Systems Design, Differential Equations, Applied Mathematics, Linear Algebra

      4.8
      Rating, 4.8 out of 5 stars
      ·
      48 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Launching into Machine Learning 日本語版

      Skills you'll gain: Data Quality, Exploratory Data Analysis, Machine Learning, Applied Machine Learning, Supervised Learning, Data Processing, Machine Learning Algorithms, Google Cloud Platform, Data Analysis, Sampling (Statistics), Big Data, Performance Tuning, Regression Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      50 reviews

      Beginner · Course · 1 - 3 Months

    • 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

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Statistical Inference and Hypothesis Testing in Data Science Applications

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Data Ethics, Probability & Statistics, Statistical Inference, Statistical Analysis, Quantitative Research, Statistics, Probability Distribution

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      50 reviews

      Intermediate · Course · 1 - 3 Months

    • E

      EIT Digital

      Quantitative Formal Modeling and Worst-Case Performance Analysis

      Skills you'll gain: Computational Thinking, Theoretical Computer Science, Mathematical Modeling, Dataflow, Mathematical Theory & Analysis, Systems Analysis, Performance Testing, Network Model, Embedded Systems, Graph Theory

      4.4
      Rating, 4.4 out of 5 stars
      ·
      44 reviews

      Mixed · Course · 1 - 3 Months

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

    • I/O-efficient algorithms: EIT Digital
    • Implementación de Actividades PhET para la Educación STEM: University of Colorado Boulder
    • Más que química: Universidad Nacional de Colombia
    • Statistical Methods for Computer Science: Johns Hopkins University
    • Applied Math for Materials Science and Engineering: Korea Advanced Institute of Science and Technology(KAIST)
    • Red de sentidos: Arte, educación y procesos creativos: Universidad Austral
    • Design of High-Performance Optical Systems: University of Colorado Boulder
    • Introducción al análisis de sistemas de control con MATLAB: Universidad de los Andes
    • Launching into Machine Learning 日本語版: Google Cloud
    • 离散数学: Shanghai Jiao Tong 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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