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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
      Free
      C

      Coursera Project Network

      Introduction to Business Analysis Using Spreadsheets: Basics

      Skills you'll gain: Google Sheets, Spreadsheet Software, Data Presentation, Statistical Visualization, Data Analysis, Data Visualization Software, Business Analytics, Productivity Software, Business Analysis, Data Manipulation, Descriptive Statistics, Analysis, Excel Formulas, Data Cleansing, Mathematical Software

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1K reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Developing the SIR Model

      Skills you'll gain: Epidemiology, Infectious Diseases, Mathematical Modeling, Public Health, R Programming, Differential Equations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      271 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      The Complete Quantum Computing Course for Beginners

      Skills you'll gain: Object Oriented Programming (OOP), Python Programming, Data Structures, Data Manipulation, Computer Programming, Applied Mathematics, Algorithms, Mathematics and Mathematical Modeling, Data Processing, Scripting, Linear Algebra, Probability, Mathematical Modeling, IBM Cloud, Computer Science, Algebra, Software Installation, Probability & Statistics, Theoretical Computer Science, Artificial Intelligence and Machine Learning (AI/ML)

      4.3
      Rating, 4.3 out of 5 stars
      ·
      38 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      C

      Columbia University

      Camera and Imaging

      Skills you'll gain: Image Analysis, Computer Vision, Photography, Color Theory, Computer Graphics, Visualization (Computer Graphics), Electronic Components, Semiconductors, Algorithms, Linear Algebra, Advanced Mathematics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      143 reviews

      Beginner · Course · 1 - 3 Months

    • T

      The Hong Kong University of Science and Technology

      Understanding Modern Physics II: Quantum Mechanics and Atoms

      Skills you'll gain: Physics, Laboratory Experience, Experimentation, Advanced Mathematics, Physical Science, Mathematical Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      55 reviews

      Beginner · Course · 1 - 4 Weeks

    • K

      Koç University

      Doğrusal Cebir II: Kare Matrisler, Hesaplama Yöntemleri ve Uygulamalar / Linear Algebra II: Square Matrices, Calculation Methods and Applications

      Skills you'll gain: Linear Algebra, Differential Equations, Advanced Mathematics, Applied Mathematics, Algebra, Mathematical Theory & Analysis, Mathematical Modeling, Numerical Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      27 reviews

      Mixed · Course · 1 - 3 Months

    • É

      École Polytechnique

      Mécanique quantique

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

      4.8
      Rating, 4.8 out of 5 stars
      ·
      149 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Maryland, College Park

      Exploring Quantum Physics

      Skills you'll gain: Physics, Quantitative Research, Science and Research, Mechanics, Physical Science, Chemistry, Advanced Mathematics, Linear Algebra, Calculus, Mathematical Modeling, Engineering Analysis, Differential Equations

      4.2
      Rating, 4.2 out of 5 stars
      ·
      67 reviews

      Mixed · Course · 1 - 3 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

      4.5
      Rating, 4.5 out of 5 stars
      ·
      173 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Inferential and Predictive Statistics for Business

      Skills you'll gain: Statistical Inference, Business Analytics, Analytics, Statistical Analysis, Statistical Hypothesis Testing, Regression Analysis, Data-Driven Decision-Making, Business Mathematics, Statistical Methods, Probability & Statistics, Statistical Modeling, Predictive Analytics, Microsoft Excel

      4.8
      Rating, 4.8 out of 5 stars
      ·
      863 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      Universidad Autónoma Metropolitana

      Geometría Analítica Preuniversitaria

      Skills you'll gain: Graphing, Geometry, Trigonometry, Algebra, Mathematical Modeling, Applied Mathematics

      4.2
      Rating, 4.2 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Instructor Network

      Financial Analysis: Portfolios, Risks, Strategic Decisions

      Skills you'll gain: Portfolio Management, Investment Management, Risk Management, Financial Management, Finance, Financial Market, Investments, Financial Planning, Financial Analysis, Asset Management, Risk Analysis, Financial Forecasting, Business Valuation, Market Dynamics, Quantitative Research

      4.4
      Rating, 4.4 out of 5 stars
      ·
      118 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Introduction to Business Analysis Using Spreadsheets: Basics: Coursera Project Network
    • Developing the SIR Model: Imperial College London
    • The Complete Quantum Computing Course for Beginners: Packt
    • Camera and Imaging: Columbia University
    • Understanding Modern Physics II: Quantum Mechanics and Atoms: The Hong Kong University of Science and Technology
    • DoÄŸrusal Cebir II: Kare Matrisler, Hesaplama Yöntemleri ve Uygulamalar / Linear Algebra II: Square Matrices, Calculation Methods and Applications: Koç University
    • Mécanique quantique: École Polytechnique
    • Exploring Quantum Physics: University of Maryland, College Park
    • Essential Linear Algebra for Data Science: University of Colorado Boulder
    • Inferential and Predictive Statistics for Business: University of Illinois Urbana-Champaign

    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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