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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

      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, Liberal Arts, Creativity, Creative Thinking, Geometry, Research, Collaboration, Science and Research, Critical Thinking

      4.9
      Rating, 4.9 out of 5 stars
      Ā·
      125 reviews

      Beginner Ā· Course Ā· 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Electrical Characterization: Diodes

      Skills you'll gain: Semiconductors, Electronic Components, Electronics, Basic Electrical Systems, Electrical Engineering, Manufacturing Processes, Process Control, Laboratory Equipment, Engineering Calculations, Applied Mathematics

      4.8
      Rating, 4.8 out of 5 stars
      Ā·
      19 reviews

      Intermediate Ā· Course Ā· 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Linear Regression

      Skills you'll gain: Regression Analysis, R Programming, Statistical Inference, Data Analysis, Statistical Analysis, Predictive Modeling, Probability & Statistics, Linear Algebra

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      Ā·
      24 reviews

      Intermediate Ā· Course Ā· 1 - 4 Weeks

    • Status: New
      New
      K

      Korea Advanced Institute of Science and Technology(KAIST)

      Math for AI Beginner Part 2 : Vector Calulus

      Skills you'll gain: Integral Calculus, Applied Mathematics, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Calculus, Mathematics and Mathematical Modeling, Mathematical Modeling, Advanced Mathematics, Machine Learning

      Beginner Ā· Course Ā· 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
      Ā·
      44 reviews

      Mixed Ā· Course Ā· 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Science as a Field

      Skills you'll gain: Data Presentation, Technical Communication, Statistical Reporting, Data Storytelling, Data Science, Data Analysis, Data Visualization, Data Ethics, Data-Driven Decision-Making, Exploratory Data Analysis, Applied Mathematics, Statistics, Computer Science

      Build toward a degree

      4.3
      Rating, 4.3 out of 5 stars
      Ā·
      37 reviews

      Intermediate Ā· Course Ā· 1 - 4 Weeks

    • S

      Shanghai Jiao Tong University

      离散数学

      Skills you'll gain: Graph Theory, Theoretical Computer Science, Combinatorics, Computational Thinking, Data Structures, Computer Science, Algorithms, Computer Networking, Network Analysis, Computational Logic, Probability

      4.3
      Rating, 4.3 out of 5 stars
      Ā·
      29 reviews

      Beginner Ā· Course Ā· 1 - 3 Months

    • Ɖ

      Ɖcole Polytechnique FĆ©dĆ©rale de Lausanne

      MƩcanique : Solide IndƩformable

      Skills you'll gain: Torque (Physics), Mechanics, Engineering Analysis, Engineering Calculations, Vibrations, Applied Mathematics, Physics, Mathematical Modeling

      4.8
      Rating, 4.8 out of 5 stars
      Ā·
      34 reviews

      Mixed Ā· Course Ā· 1 - 3 Months

    • Ɖ

      Ɖcole Polytechnique FĆ©dĆ©rale de Lausanne

      MƩcanique du point matƩriel

      Skills you'll gain: Mechanics, Torque (Physics), Vibrations, Physics, Differential Equations, Engineering Analysis, Calculus, Applied Mathematics, Trigonometry, Mathematical Modeling, Linear Algebra

      4.8
      Rating, 4.8 out of 5 stars
      Ā·
      40 reviews

      Mixed Ā· Course Ā· 1 - 3 Months

    • E

      EIT Digital

      Approximation Algorithms

      Skills you'll gain: Algorithms, Graph Theory, Computational Thinking, Applied Mathematics, Theoretical Computer Science, Linear Algebra

      4.7
      Rating, 4.7 out of 5 stars
      Ā·
      33 reviews

      Intermediate Ā· Course Ā· 1 - 4 Weeks

    • P

      Pontificia Universidad Católica de Chile

      Equilibrio, ¿por qué se caen las cosas?

      Skills you'll gain: Structural Analysis, Structural Engineering, Mechanics, Torque (Physics), Engineering Analysis, Engineering Calculations, Mathematical Modeling, Civil Engineering, Applied Mathematics, Physics

      4.5
      Rating, 4.5 out of 5 stars
      Ā·
      33 reviews

      Beginner Ā· Course Ā· 1 - 3 Months

    • Ɖ

      Ɖcole Polytechnique FĆ©dĆ©rale de Lausanne

      MƩcanique Lagrangienne

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

      4.6
      Rating, 4.6 out of 5 stars
      Ā·
      37 reviews

      Mixed Ā· Course Ā· 1 - 3 Months

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    1…373839…51

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

    • Red de sentidos: Arte, educación y procesos creativos:Ā Universidad Austral
    • Electrical Characterization: Diodes:Ā Arizona State University
    • Linear Regression:Ā Illinois Tech
    • Math for AI Beginner Part 2 : Vector Calulus:Ā Korea Advanced Institute of Science and Technology(KAIST)
    • Quantitative Formal Modeling and Worst-Case Performance Analysis:Ā EIT Digital
    • Data Science as a Field:Ā University of Colorado Boulder
    • 离散数学:Ā Shanghai Jiao Tong University
    • MĆ©canique : Solide IndĆ©formable: École Polytechnique FĆ©dĆ©rale de Lausanne
    • MĆ©canique du point matĆ©riel: École Polytechnique FĆ©dĆ©rale de Lausanne
    • Approximation Algorithms:Ā EIT Digital

    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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