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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: Free Trial
      Free Trial
      U

      University of California San Diego

      Number Theory and Cryptography

      Skills you'll gain: Cryptography, Public Key Cryptography Standards (PKCS), Arithmetic, Encryption, Computer Security, Algorithms, Vulnerability Assessments, Computational Thinking, Applied Mathematics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      607 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      K

      Korea Advanced Institute of Science and Technology(KAIST)

      Math for AI beginner part 1 Linear Algebra

      Skills you'll gain: Linear Algebra, Artificial Intelligence, Deep Learning, Machine Learning, General Mathematics, Applied Mathematics, Mathematics and Mathematical Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      30 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Probability Theory: Foundation for Data Science

      Skills you'll gain: Probability, Probability & Statistics, Probability Distribution, Bayesian Statistics, Statistical Methods, Correlation Analysis, Data Science, Statistical Inference, Descriptive Statistics

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      254 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      U

      University of Alberta

      Problem Solving, Python Programming, and Video Games

      Skills you'll gain: Video Game Development, Game Design, Computational Thinking, Animation and Game Design, Program Development, Problem Solving, Programming Principles, Python Programming, Software Quality (SQA/SQC), Computer Programming, Object Oriented Programming (OOP), Software Design, Event-Driven Programming, Algorithms, Computer Graphics, Computer Science, Debugging

      4.3
      Rating, 4.3 out of 5 stars
      ·
      233 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      L

      Ludwig-Maximilians-Universität München (LMU)

      Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python

      Skills you'll gain: Finite Element Methods, Numerical Analysis, Jupyter, NumPy, Applied Mathematics, Differential Equations, Simulations, Mathematical Modeling, Python Programming, Calculus, Linear Algebra

      4.8
      Rating, 4.8 out of 5 stars
      ·
      386 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Supervised Machine Learning: Classification

      Skills you'll gain: Supervised Learning, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Applied Machine Learning, Statistical Machine Learning, Data-Driven Decision-Making, Machine Learning, Predictive Modeling, Random Forest Algorithm, Statistical Modeling, Feature Engineering, Sampling (Statistics)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      417 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Exploring and Producing Data for Business Decision Making

      Skills you'll gain: Sampling (Statistics), Data Analysis, Descriptive Statistics, Data-Driven Decision-Making, Probability & Statistics, Statistical Analysis, Statistical Inference, Data Collection, Data Visualization, Data Presentation, Decision Making, Microsoft Excel

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Preview
      Preview
      T

      The Hong Kong University of Science and Technology

      Calculus for Engineers

      Skills you'll gain: Calculus, Engineering Calculations, Differential Equations, Integral Calculus, Applied Mathematics, Engineering Analysis, Numerical Analysis, Algebra, Advanced Mathematics, Trigonometry, Mathematical Theory & Analysis, Arithmetic, Physics, Geometry, Derivatives, Graphing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Introduction to Electricity and Magnetism

      Skills you'll gain: Basic Electrical Systems, Torque (Physics), Electrical Engineering, Electrical Systems, Electronic Components, Schematic Diagrams, Physics, Scientific Visualization, Electronic Systems, Mechanics, Calculus, Differential Equations, Mathematical Modeling, Applied Mathematics, Engineering Calculations, Problem Solving

      4.7
      Rating, 4.7 out of 5 stars
      ·
      219 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models 2: Inference

      Skills you'll gain: Bayesian Network, Sampling (Statistics), Statistical Inference, Machine Learning Methods, Markov Model, Graph Theory, Probability & Statistics, Algorithms, Probability Distribution, Computational Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      488 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Converter Control

      Skills you'll gain: Control Systems, Power Electronics, Electronic Systems, Electrical Engineering, Electrical and Computer Engineering, Electronics, Systems Analysis, Systems Design, Engineering Analysis, Graphical Tools, Performance Testing, Mathematical Modeling, Applied Mathematics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      648 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      N

      Nanjing University

      Data Processing Using Python

      Skills you'll gain: Object Oriented Programming (OOP), Data Mining, Data Structures, Pandas (Python Package), Data Processing, User Interface (UI), Data Presentation, Data Science, NumPy, Data Manipulation, Data Visualization Software, Matplotlib, Python Programming

      4.1
      Rating, 4.1 out of 5 stars
      ·
      375 reviews

      Beginner · Course · 1 - 3 Months

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    1…171819…52

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

    • Number Theory and Cryptography: University of California San Diego
    • Math for AI beginner part 1 Linear Algebra: Korea Advanced Institute of Science and Technology(KAIST)
    • Probability Theory: Foundation for Data Science: University of Colorado Boulder
    • Problem Solving, Python Programming, and Video Games: University of Alberta
    • Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python: Ludwig-Maximilians-Universität München (LMU)
    • Supervised Machine Learning: Classification: IBM
    • Exploring and Producing Data for Business Decision Making: University of Illinois Urbana-Champaign
    • Calculus for Engineers: The Hong Kong University of Science and Technology
    • Introduction to Electricity and Magnetism: Rice University
    • Probabilistic Graphical Models 2: Inference: Stanford 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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