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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
      R

      Rice University

      Introduction to Mechanics

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      255 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Equivalent Circuit Cell Model Simulation

      Skills you'll gain: Simulations, Mathematical Modeling, Electrical Engineering, Matlab, Engineering Calculations, Electrical Systems, Laboratory Testing, Applied Mathematics, Scripting, Data Analysis Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      547 reviews

      Intermediate · Course · 1 - 3 Months

    • T

      The University of Sydney

      Introduction to Advanced Calculus

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

      4.7
      Rating, 4.7 out of 5 stars
      ·
      12 reviews

      Intermediate · Course · 1 - 4 Weeks

    • É

      École Polytechnique Fédérale de Lausanne

      Analyse numérique pour ingénieurs

      Skills you'll gain: Numerical Analysis, Engineering Analysis, Engineering Calculations, Differential Equations, Matlab, Applied Mathematics, Calculus, Linear Algebra, Mathematical Modeling, Integral Calculus, Mathematical Theory & Analysis, Advanced Mathematics, Estimation, Algorithms, Derivatives

      4.5
      Rating, 4.5 out of 5 stars
      ·
      108 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Stocks and Bonds

      Skills you'll gain: Market Data, Finance, General Finance, Corporate Finance, Financial Analysis, Financial Market, Investments, Equities, Investment Management, Capital Markets, Business Mathematics, Cash Flows

      4.6
      Rating, 4.6 out of 5 stars
      ·
      407 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Machine Learning: Clustering & Retrieval

      Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Big Data, Statistical Inference, Text Mining, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Sampling (Statistics), Scalability, Probability Distribution, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Mixed · Course · 1 - 3 Months

    • G

      Georgia Institute of Technology

      Engineering Systems in Motion: Dynamics of Particles and Bodies in 2D Motion

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

      4.9
      Rating, 4.9 out of 5 stars
      ·
      742 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Calculus through Data & Modeling: Limits & Derivatives

      Skills you'll gain: Calculus, Mathematical Software, Data Analysis, Mathematical Theory & Analysis, Derivatives, Graphing, Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      198 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Algorithms for Searching, Sorting, and Indexing

      Skills you'll gain: Data Structures, Algorithms, Pseudocode, Computational Thinking, Programming Principles, Analysis, Big Data, Probability & Statistics

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      493 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Alberta

      Problem Solving, Python Programming, and Video Games

      Skills you'll gain: Computational Thinking, Video Game Development, Game Design, Programming Principles, Animation and Game Design, Software Quality (SQA/SQC), Computer Programming, Program Development, Software Engineering, Python Programming, Algorithms, Pseudocode, Application Development, Debugging, Problem Management, Functional Testing, Test Planning

      4.3
      Rating, 4.3 out of 5 stars
      ·
      233 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Business Applications of Hypothesis Testing and Confidence Interval Estimation

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Sample Size Determination, Statistical Inference, Estimation, Statistics, Probability & Statistics, Sampling (Statistics), Statistical Analysis, Microsoft Excel, Excel Formulas, Decision Making

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Amsterdam

      Inferential Statistics

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Sampling (Statistics), Probability & Statistics, Regression Analysis, Statistical Inference, Statistical Analysis, Quantitative Research, Probability Distribution, R Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      599 reviews

      Mixed · Course · 1 - 3 Months

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    1…151617…51

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

    • Introduction to Mechanics: Rice University
    • Equivalent Circuit Cell Model Simulation: University of Colorado Boulder
    • Introduction to Advanced Calculus: The University of Sydney
    • Analyse numérique pour ingénieurs: École Polytechnique Fédérale de Lausanne
    • Stocks and Bonds: University of Michigan
    • Machine Learning: Clustering & Retrieval: University of Washington
    • Engineering Systems in Motion: Dynamics of Particles and Bodies in 2D Motion: Georgia Institute of Technology
    • Calculus through Data & Modeling: Limits & Derivatives: Johns Hopkins University
    • Algorithms for Searching, Sorting, and Indexing: University of Colorado Boulder
    • Problem Solving, Python Programming, and Video Games: University of Alberta

    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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