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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

    • J

      Johns Hopkins University

      Advanced Linear Models for Data Science 1: Least Squares

      Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Linear Algebra, Data Science, Mathematical Modeling, Predictive Modeling, Statistical Analysis, Applied Mathematics, Advanced Mathematics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      187 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free
      Free
      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
      ·
      226 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      Universidad Nacional Autónoma de México

      Matemáticas financieras

      Skills you'll gain: Business Mathematics, Financial Management, Finance, Excel Formulas, Financial Analysis, Loans, Arithmetic, Investments, Cash Flows, Corporate Finance, Applied Mathematics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Maryland, College Park

      Framework for Data Collection and Analysis

      Skills you'll gain: Surveys, Research Methodologies, Data Collection, Research Design, Data Quality, Data Analysis, Data Validation, Sampling (Statistics), Big Data, Statistical Methods

      4.2
      Rating, 4.2 out of 5 stars
      ·
      764 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      Universidad de los Andes

      Fundamentos de estadística aplicada

      Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Data Analysis, Regression Analysis, Sampling (Statistics), Statistical Analysis, Probability & Statistics, Probability Distribution, Applied Mathematics, Statistical Inference

      4.5
      Rating, 4.5 out of 5 stars
      ·
      134 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Columbia University

      Term-Structure and Credit Derivatives

      Skills you'll gain: Derivatives, Mortgage Loans, Securities (Finance), Credit Risk, Financial Modeling, Risk Modeling, Financial Market, Actuarial Science, Mathematical Modeling, Securities Trading, Applied Mathematics, Investment Banking, Microsoft Excel, Risk Analysis, Probability, Cash Flows, Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      59 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Exploring and Producing Data for Business Decision Making

      Skills you'll gain: Descriptive Statistics, Sampling (Statistics), Probability Distribution, Business Analytics, Statistics, Microsoft Excel, Analytics, Statistical Inference, Data Analysis, Exploratory Data Analysis, Probability & Statistics, Statistical Analysis, Histogram, Data Collection, Data Presentation, Graphing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Introduction to Machine Learning: Supervised Learning

      Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Scikit Learn (Machine Learning Library), Matplotlib, Random Forest Algorithm, Machine Learning, Predictive Modeling, Data Science, Python Programming, Classification And Regression Tree (CART), Mathematical Modeling, Applied Mathematics, Exploratory Data Analysis, Statistical Programming, Regression Analysis, Feature Engineering, Data Cleansing, Performance Tuning

      Build toward a degree

      3.4
      Rating, 3.4 out of 5 stars
      ·
      75 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Quantum Mechanics for Engineers

      Skills you'll gain: Estimation, Linear Algebra, Physics, Mechanics, Engineering Calculations, Probability, Applied Mathematics, Advanced Mathematics, Mathematical Modeling, Engineering Analysis, Mathematical Theory & Analysis, Differential Equations, Physical Science

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      98 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free
      Free
      É

      École Polytechnique Fédérale de Lausanne

      Interest Rate Models

      Skills you'll gain: Derivatives, Financial Market, Risk Management, Investments, Financial Modeling, Market Data, Mathematical Modeling, Finance, Probability, Statistical Modeling, Estimation, Applied Mathematics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      193 reviews

      Advanced · Course · 1 - 3 Months

    • U

      Universidad Nacional Autónoma de México

      Trigonometría y geometría analítica

      Skills you'll gain: Trigonometry, Geometry, Applied Mathematics, Algebra, Graphing, Systems Of Measurement

      4.7
      Rating, 4.7 out of 5 stars
      ·
      54 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      N

      National Taiwan University

      頑想學概率:機率二 (Probability (2))

      Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Advanced Mathematics, Statistical Methods, Calculus

      4.8
      Rating, 4.8 out of 5 stars
      ·
      92 reviews

      Mixed · Course · 1 - 3 Months

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    1…212223…52

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

    • Advanced Linear Models for Data Science 1: Least Squares: Johns Hopkins University
    • Mastering Statics: The Hong Kong University of Science and Technology
    • Matemáticas financieras: Universidad Nacional Autónoma de México
    • Framework for Data Collection and Analysis: University of Maryland, College Park
    • Fundamentos de estadística aplicada: Universidad de los Andes
    • Term-Structure and Credit Derivatives : Columbia University
    • Exploring and Producing Data for Business Decision Making: University of Illinois Urbana-Champaign
    • Introduction to Machine Learning: Supervised Learning: University of Colorado Boulder
    • Quantum Mechanics for Engineers: University of Colorado Boulder
    • Interest Rate Models: École Polytechnique Fédérale de Lausanne

    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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