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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
      É

      École normale supérieure

      Statistical Mechanics: Algorithms and Computations

      Skills you'll gain: Sampling (Statistics), Physics, Simulations, Statistical Programming, Computational Logic, Numerical Analysis, Markov Model, Mechanics, Quantitative Research, Algorithms, Programming Principles, Applied Mathematics, Linear Algebra, Integral Calculus

      4.8
      Rating, 4.8 out of 5 stars
      ·
      264 reviews

      Mixed · Course · 1 - 3 Months

    • I

      Instituto Tecnológico de Aeronáutica

      Introdução ao Controle Moderno

      Skills you'll gain: Control Systems, Engineering Analysis, Systems Analysis, Matlab, Systems Engineering, Simulation and Simulation Software, Mathematical Modeling, System Design and Implementation, Linear Algebra, Differential Equations, Mathematical Theory & Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      51 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      The Data Driven Manager

      Skills you'll gain: Sampling (Statistics), Data-Driven Decision-Making, Probability Distribution, Descriptive Statistics, Statistical Hypothesis Testing, Data Analysis, Correlation Analysis, Data Visualization, Estimation, Data Collection, Statistical Software, Risk Analysis, Statistical Analysis, Statistical Methods, Box Plots, R Programming, Return On Investment, Sample Size Determination, Analytical Skills, Data Manipulation

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      37 reviews

      Beginner · Specialization · 3 - 6 Months

    • K

      Korea Advanced Institute of Science and Technology(KAIST)

      Differential Equations Part II Series Solutions

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

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Advanced Linear Models for Data Science 2: Statistical Linear Models

      Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Integral Calculus

      4.6
      Rating, 4.6 out of 5 stars
      ·
      101 reviews

      Advanced · Course · 1 - 4 Weeks

    • T

      The University of Melbourne

      Solving Algorithms for Discrete Optimization

      Skills you'll gain: Operations Research, Advanced Mathematics, Combinatorics, Algorithms, Applied Mathematics, Graph Theory, Mathematical Modeling, Computational Thinking, Performance Tuning, Linear Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      43 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      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
      ·
      421 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Delivery Problem

      Skills you'll gain: Combinatorics, Theoretical Computer Science, Algorithms, Graph Theory, Computational Thinking, Operations Research, Data Structures, Applied Mathematics, Python Programming, Computer Programming, Program Development, Mathematical Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      374 reviews

      Beginner · Course · 1 - 4 Weeks

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

      University of Colorado Boulder

      Statistics and Applied Data Analysis

      Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Statistical Analysis, Regression Analysis, Statistical Programming, Probability, Probability Distribution, Sampling (Statistics), Box Plots, Histogram, R Programming, Statistical Methods, Scatter Plots, Microsoft Excel, Probability & Statistics, Statistics, Data Import/Export

      4.7
      Rating, 4.7 out of 5 stars
      ·
      33 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Macquarie University

      Excel Regression Models for Business Forecasting

      Skills you'll gain: Forecasting, Regression Analysis, Time Series Analysis and Forecasting, Business Mathematics, Microsoft Excel, Statistical Modeling, Trend Analysis, Statistical Analysis, Data Visualization Software

      4.9
      Rating, 4.9 out of 5 stars
      ·
      109 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Maryland, College Park

      Dealing With Missing Data

      Skills you'll gain: Sampling (Statistics), Statistical Programming, Data Cleansing, Data Quality, Data Analysis Software, Statistical Analysis, Statistical Methods, Statistical Modeling, R Programming, Regression Analysis, Statistical Inference

      3.8
      Rating, 3.8 out of 5 stars
      ·
      135 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      K

      Kennesaw State University

      The Measure Phase for the 6 σ Black Belt

      Skills you'll gain: Six Sigma Methodology, Lean Methodologies, Process Capability, Lean Six Sigma, Data Collection, Sampling (Statistics), Probability Distribution, Process Analysis, Descriptive Statistics, Performance Measurement, Quality Improvement, Continuous Quality Improvement (CQI), Statistics, Probability, Systems Of Measurement, Statistical Analysis

      4.3
      Rating, 4.3 out of 5 stars
      ·
      52 reviews

      Mixed · Course · 1 - 3 Months

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

    • Statistical Mechanics: Algorithms and Computations: École normale supérieure
    • Introdução ao Controle Moderno: Instituto Tecnológico de Aeronáutica
    • The Data Driven Manager: University of Colorado Boulder
    • Differential Equations Part II Series Solutions: Korea Advanced Institute of Science and Technology(KAIST)
    • Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University
    • Solving Algorithms for Discrete Optimization: The University of Melbourne
    • Quantitative Foundations for International Business: University of London
    • Delivery Problem: University of California San Diego
    • Statistics and Applied Data Analysis: University of Colorado Boulder
    • Excel Regression Models for Business Forecasting: Macquarie University

    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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