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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 Colorado Boulder

      Dynamic Programming, Greedy Algorithms

      Skills you'll gain: Theoretical Computer Science, Algorithms, Data Structures, Computational Thinking, Computer Programming, Programming Principles, Computer Science, Advanced Mathematics, Mathematical Theory & Analysis, Python Programming, Program Development, Analysis, Data Analysis

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      224 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      T

      The Hong Kong University of Science and Technology

      Mastering Statics

      Skills you'll gain: Structural Analysis, Mechanics, Engineering Calculations, Mechanical Engineering, Civil Engineering, Engineering Analysis, Engineering Drawings, Geometry, Algebra, Applied Mathematics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      231 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Physics 102 - Electric Charges and Fields

      Skills you'll gain: Basic Electrical Systems, Electrical Engineering, Physics, Mechanics, Electrical Systems, Calculus, Mathematical Modeling, Trigonometry, Problem Solving, Applied Mathematics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      169 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Pearson

      Data Science Fundamentals Part 2: Unit 2

      Skills you'll gain: A/B Testing, Sampling (Statistics), Statistical Inference, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Correlation Analysis, Descriptive Statistics

      Beginner · Course · 1 - 4 Weeks

    • K

      Korea Advanced Institute of Science and Technology(KAIST)

      Introduction to Basic Vibrations

      Skills you'll gain: Vibrations, Mechanics, Mechanical Engineering, Engineering Analysis, Control Systems, Engineering Calculations, Differential Equations, Mathematical Modeling, Applied Mathematics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      520 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Introduction to Mechanics

      Skills you'll gain: Mechanics, Torque (Physics), Physics, Problem Solving, Mechanical Engineering, Engineering Calculations, Calculus, Engineering Analysis, Physical Science, Mathematical Modeling, Algebra, Applied Mathematics, Geometry, Trigonometry

      4.6
      Rating, 4.6 out of 5 stars
      ·
      273 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Preview
      Preview
      N

      National Taiwan University

      機器人學一 (Robotics (1))

      Skills you'll gain: Mechanics, Automation Engineering, Mechanical Engineering, Trigonometry, Applied Mathematics, Control Systems, Engineering Calculations, Linear Algebra, Mathematical Modeling, Simulation and Simulation Software, Spatial Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      64 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, Computational Logic, Numerical Analysis, Markov Model, Quantitative Research, Algorithms, Applied Mathematics, Linear Algebra, Integral Calculus

      4.8
      Rating, 4.8 out of 5 stars
      ·
      267 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Statistical Inference

      Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Probability & Statistics, Probability, Statistics, Bayesian Statistics, Statistical Methods, Statistical Modeling, Statistical Analysis, Probability Distribution, Sampling (Statistics), Sample Size Determination, Data Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      4.4K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      McMaster University

      Finance for Everyone

      Skills you'll gain: Peer Review, Finance, Financial Market, Financial Analysis, Cash Flows, Financial Modeling, Capital Markets, Investments, Derivatives, Business Valuation, Financial Policy, Financial Data, Equities, International Finance, Project Design, Market Dynamics, Risk Management, Business Mathematics, Credit Risk, Project Documentation

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

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Essential Linear Algebra for Data Science

      Skills you'll gain: Linear Algebra, Applied Mathematics, Data Science, Data Analysis, Statistical Methods, Algebra, Numerical Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      176 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Preview
      Preview
      E

      EDUCBA

      Bayesian Statistics: Excel to Python A/B Testing

      Skills you'll gain: Bayesian Statistics, A/B Testing, Microsoft Excel, Statistical Modeling, Predictive Analytics, Business Analytics, Statistical Methods, Advanced Analytics, Probability & Statistics, Decision Making, Health Informatics, Statistical Programming, Machine Learning, Markov Model, Probability Distribution, Sampling (Statistics)

      Mixed · Course · 1 - 4 Weeks

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    1…282930…54

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

    • Dynamic Programming, Greedy Algorithms: University of Colorado Boulder
    • Mastering Statics: The Hong Kong University of Science and Technology
    • Physics 102 - Electric Charges and Fields: Rice University
    • Data Science Fundamentals Part 2: Unit 2: Pearson
    • Introduction to Basic Vibrations: Korea Advanced Institute of Science and Technology(KAIST)
    • Introduction to Mechanics: Rice University
    • 機器人學一 (Robotics (1)): National Taiwan University
    • Statistical Mechanics: Algorithms and Computations: École normale supérieure
    • Statistical Inference: Johns Hopkins University
    • Finance for Everyone: McMaster 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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