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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
      J

      Johns Hopkins University

      Measurement – Turning Concepts into Data

      Skills you'll gain: Surveys, Survey Creation, Sampling (Statistics), Quantitative Research, Research Methodologies, Data Analysis, Data Quality, Data Transformation, Data Modeling, Data Validation, Statistical Methods

      4.7
      Rating, 4.7 out of 5 stars
      ·
      77 reviews

      Beginner · Course · 1 - 4 Weeks

    • M

      Macquarie University

      Habilidades de Excel Aplicadas a Negocios: Nivel Avanzado

      Skills you'll gain: Dashboard, Spreadsheet Software, Data Cleansing, Excel Formulas, Data Visualization, Microsoft Excel, Data Analysis Expressions (DAX), Business Mathematics, Data Validation, Business Metrics, Financial Data, Financial Analysis, Data Management, Automation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      26 reviews

      Intermediate · Course · 1 - 3 Months

    • P

      Peking University

      电磁学上——恒定电场

      Skills you'll gain: Basic Electrical Systems, Physics, Electrical Engineering, Physical Science, Calculus, Systems Of Measurement, Applied Mathematics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      40 reviews

      Mixed · Course · 1 - 3 Months

    • E

      EIT Digital

      Automated Reasoning: satisfiability

      Skills you'll gain: Computational Logic, Deductive Reasoning, Combinatorics, Logical Reasoning, Computational Thinking, Mathematical Modeling, Operations Research, Theoretical Computer Science, Applied Mathematics, Algorithms, Linear Algebra, Verification And Validation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      44 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      RStudio for Six Sigma - Basic Descriptive Statistics

      Skills you'll gain: Sampling (Statistics), Statistical Methods, Descriptive Statistics, Data Visualization, Data Import/Export, Pareto Chart, Histogram, Statistical Analysis, Six Sigma Methodology, Box Plots, R Programming, Probability Distribution, Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      64 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • N

      Nanyang Technological University, Singapore

      Introduction to Complexity Science

      Skills you'll gain: Systems Thinking, Network Analysis, Mathematical Modeling, Simulations, Social Sciences, Applied Mathematics, Policy Analysis, Forecasting, Trend Analysis, Jupyter

      4.6
      Rating, 4.6 out of 5 stars
      ·
      30 reviews

      Beginner · Course · 1 - 3 Months

    • É

      École Polytechnique

      Initiation à la théorie des distributions

      Skills you'll gain: Differential Equations, Advanced Mathematics, Integral Calculus, Calculus, Mathematical Theory & Analysis, Derivatives

      4.8
      Rating, 4.8 out of 5 stars
      ·
      25 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Clase Entera con PhET para la Educación STEM

      Skills you'll gain: Mathematics Education, Simulations, Simulation and Simulation Software, Experimentation, Scientific Visualization

      4.9
      Rating, 4.9 out of 5 stars
      ·
      110 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Managing, Describing, and Analyzing Data

      Skills you'll gain: Statistical Inference, Probability Distribution, Statistical Analysis, Descriptive Statistics, Sampling (Statistics), Statistics, Probability & Statistics, Statistical Hypothesis Testing, R Programming, Data Analysis, Data Literacy, Probability, Statistical Visualization, Histogram

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      33 reviews

      Beginner · Course · 1 - 3 Months

    • E

      EIT Digital

      Geometric Algorithms

      Skills you'll gain: Geometry, Algorithms, Computer Graphics, Data Structures, Graph Theory, Spatial Data Analysis, Computational Thinking, Geographic Information Systems, Theoretical Computer Science, Spatial Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      H

      Howard University

      Linear Algebra for Data Science Using Python

      Skills you'll gain: Data Wrangling, Linear Algebra, Regression Analysis, Data Manipulation, NumPy, Predictive Modeling, Dimensionality Reduction, Data Science, Applied Mathematics, Python Programming, Statistical Modeling, Mathematical Software, Supervised Learning, Data Visualization Software, Jupyter, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning Methods, Numerical Analysis, Algebra

      4.3
      Rating, 4.3 out of 5 stars
      ·
      31 reviews

      Beginner · Specialization · 3 - 6 Months

    • J

      Johns Hopkins University

      Introduction to Uncertainty Quantification

      Skills you'll gain: Probability, Bayesian Statistics, Probability Distribution, Risk Modeling, Mathematical Modeling, Statistical Inference, Markov Model, Reliability, Simulations, Applied Mathematics, Statistical Analysis, Regression Analysis

      Intermediate · Course · 1 - 4 Weeks

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    1…373839…52

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

    • Measurement – Turning Concepts into Data: Johns Hopkins University
    • Habilidades de Excel Aplicadas a Negocios: Nivel Avanzado: Macquarie University
    • 电磁学上——恒定电场: Peking University
    • Automated Reasoning: satisfiability: EIT Digital
    • RStudio for Six Sigma - Basic Descriptive Statistics: Coursera Project Network
    • Introduction to Complexity Science: Nanyang Technological University, Singapore
    • Initiation à la théorie des distributions: École Polytechnique
    • Clase Entera con PhET para la Educación STEM: University of Colorado Boulder
    • Managing, Describing, and Analyzing Data: University of Colorado Boulder
    • Geometric Algorithms: EIT Digital

    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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