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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
      ·
      999 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      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
      ·
      517 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      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
      ·
      111 reviews

      Beginner · Course · 1 - 4 Weeks

    • N

      New York University

      Fundamentals of Machine Learning in Finance

      Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Machine Learning, Predictive Modeling, Financial Trading, Financial Market, Reinforcement Learning, Scikit Learn (Machine Learning Library), Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks, Jupyter

      3.7
      Rating, 3.7 out of 5 stars
      ·
      338 reviews

      Intermediate · Course · 1 - 4 Weeks

    • M

      McMaster University

      Finance for Everyone: Decisions

      Skills you'll gain: Finance, Financial Market, Peer Review, Project Design, Business Mathematics, Market Dynamics, Financial Analysis, Financial Planning, Economics, Return On Investment, Cash Flows, Decision Making

      4.7
      Rating, 4.7 out of 5 stars
      ·
      865 reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of London

      Quantitative Foundations for International Business

      Skills you'll gain: Business Mathematics, Linear Algebra, Mathematical Modeling, Calculus, Financial Modeling, Algebra, Business Economics, Graphing

      4.1
      Rating, 4.1 out of 5 stars
      ·
      420 reviews

      Mixed · Course · 1 - 4 Weeks

    • M

      Meta

      Statistics Foundations

      Skills you'll gain: Bayesian Statistics, Descriptive Statistics, Statistical Hypothesis Testing, Statistical Inference, Sampling (Statistics), Data Modeling, Statistics, Probability & Statistics, Statistical Analysis, Statistical Methods, Data Analysis Software, Statistical Modeling, Marketing Analytics, Tableau Software, Data Analysis, Spreadsheet Software, Quantitative Research, Analytics, Descriptive Analytics, Time Series Analysis and Forecasting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      330 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Statistical Thermodynamics

      Skills you'll gain: Chemical Engineering, Quantitative Research, Chemistry, Thermal Management, Mechanics, Mathematical Software, Engineering Analysis, Numerical Analysis, Engineering Calculations, Statistical Methods, Differential Equations, Physics, Probability Distribution, Mathematical Modeling, Semiconductors, Applied Mathematics, Simulation and Simulation Software, Simulations, Physical Science, Estimation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1K reviews

      Advanced · Specialization · 3 - 6 Months

    • G

      Google

      Google Data Analytics

      Skills you'll gain: Data Presentation, Data Storytelling, Presentations, Data Cleansing, Data Visualization, Rmarkdown, Data-Driven Decision-Making, Data Validation, Data Ethics, Analytical Skills, Dashboard, Spreadsheet Software, Ggplot2, SQL, Data Visualization Software, Data Literacy, Data Collection, Sampling (Statistics), Data Analysis, Data Processing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      312 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of Minnesota

      Analytics for Decision Making

      Skills you'll gain: Time Series Analysis and Forecasting, Simulations, Operations Research, Probability Distribution, Mathematical Modeling, Supply Chain, Probability, Predictive Modeling, Business Modeling, Business Analytics, Analytics, Regression Analysis, Microsoft Excel, Forecasting, Data Modeling, Process Optimization, Data-Driven Decision-Making, Statistics, Business Mathematics, Manufacturing Operations

      4.7
      Rating, 4.7 out of 5 stars
      ·
      260 reviews

      Beginner · Specialization · 3 - 6 Months

    • J

      Johns Hopkins University

      Calculus through Data & Modelling: Vector Calculus

      Skills you'll gain: Integral Calculus, Calculus, Linear Algebra, Mathematical Theory & Analysis, Advanced Mathematics, Visualization (Computer Graphics), Applied Mathematics, Graphing, Mathematical Modeling, Spatial Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      43 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      T

      The Hong Kong University of Science and Technology

      Calculus for Engineers

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

      Beginner · Course · 1 - 3 Months

    Searches related to mathematics

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    1…202122…52

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

    • Introduction to Business Analysis Using Spreadsheets: Basics: Coursera Project Network
    • Introduction to Basic Vibrations: Korea Advanced Institute of Science and Technology(KAIST)
    • Financial Analysis: Portfolios, Risks, Strategic Decisions: Coursera Instructor Network
    • Fundamentals of Machine Learning in Finance: New York University
    • Finance for Everyone: Decisions: McMaster University
    • Quantitative Foundations for International Business: University of London
    • Statistics Foundations: Meta
    • Statistical Thermodynamics: University of Colorado Boulder
    • Google Data Analytics: Google
    • Analytics for Decision Making: University of Minnesota

    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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