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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
      T

      The Hong Kong University of Science and Technology

      Differential Equations for Engineers

      Skills you'll gain: Differential Equations, Engineering Analysis, Applied Mathematics, Calculus, Integral Calculus, Numerical Analysis, Mathematical Modeling, Advanced Mathematics, Linear Algebra, Vibrations, Electrical Engineering, Derivatives

      4.9
      Rating, 4.9 out of 5 stars
      ·
      2.2K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
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      N

      National Taiwan University

      商管統計資料分析三 (Analytics for Business and Management (III))

      Skills you'll gain: Sampling (Statistics), Statistical Methods, Regression Analysis, Statistical Hypothesis Testing, Statistical Modeling, Statistical Analysis, R Programming, Business Analytics, Probability & Statistics

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Preview
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      B

      Birla Institute of Technology & Science, Pilani

      Algorithm Design: Mastering Computational Problem Solving

      Skills you'll gain: Computer Science, Problem Solving, Mathematical Theory & Analysis, Scalability

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Mathematical Thinking in Computer Science

      Skills you'll gain: Logical Reasoning, Computational Logic, Deductive Reasoning, Computational Thinking, Theoretical Computer Science, Algorithms, Python Programming, Computer Programming, Computer Science, Program Development

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2.3K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Discrete-Time Markov Chains and Monte Carlo Methods

      Skills you'll gain: Mathematical Modeling, Statistical Modeling, Machine Learning Algorithms, Generative AI Agents, Artificial Intelligence

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Pittsburgh

      Linear Algebra and Regression Fundamentals for Data Science

      Skills you'll gain: NumPy, Matplotlib, Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Visualization Software, Mathematics and Mathematical Modeling, Probability & Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning

      Build toward a degree

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      U

      Universidad Nacional Autónoma de México

      Álgebra básica

      Skills you'll gain: Algebra, General Mathematics, Arithmetic, Mathematical Modeling, Geometry

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.7K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Fundamentals of Computing

      Skills you'll gain: Computational Thinking, Event-Driven Programming, Algorithms, Combinatorics, Graph Theory, Programming Principles, Application Development, Object Oriented Programming (OOP), Data Structures, Probability, Computer Programming, Bioinformatics, Interactive Design, Program Development, Big Data, Python Programming, Mathematical Software, Data Analysis, Theoretical Computer Science, Computer Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • 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 Hypothesis Testing, Statistical Inference, Statistical Methods, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Data-Driven Decision-Making, Correlation Analysis

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
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      S

      Simplilearn

      Linear Algebra for ML and Analytics Training

      Skills you'll gain: Mathematical Modeling, Linear Algebra, Dimensionality Reduction, Applied Mathematics, Data Analysis, Applied Machine Learning, Analytics, Data Science

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
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      N

      Northeastern University

      Engineering Probability and Statistics Part 2

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Sampling (Statistics), Statistical Reporting, Statistical Methods, Probability & Statistics, Statistical Analysis, Experimentation, Data Analysis, Data Presentation, Estimation

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Process Data from Dirty to Clean

      Skills you'll gain: Data Cleansing, Sampling (Statistics), Data Integrity, Data Quality, Data Processing, Data Analysis, Data Transformation, Data Validation, Sample Size Determination, SQL, Spreadsheet Software

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18K reviews

      Beginner · Course · 1 - 3 Months

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    1…8910…53

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

    • Differential Equations for Engineers: The Hong Kong University of Science and Technology
    • 商管統計資料分析三 (Analytics for Business and Management (III)): National Taiwan University
    • Algorithm Design: Mastering Computational Problem Solving: Birla Institute of Technology & Science, Pilani
    • Mathematical Thinking in Computer Science: University of California San Diego
    • Discrete-Time Markov Chains and Monte Carlo Methods: University of Colorado Boulder
    • Linear Algebra and Regression Fundamentals for Data Science: University of Pittsburgh
    • Álgebra básica: Universidad Nacional Autónoma de México
    • Fundamentals of Computing: Rice University
    • Data Science Fundamentals Part 2: Unit 2: Pearson
    • Linear Algebra for ML and Analytics Training: Simplilearn

    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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