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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

    • U

      University of Colorado Boulder

      Statistical Inference for Estimation in Data Science

      Skills you'll gain: Statistical Inference, Statistical Methods, Probability & Statistics, Sampling (Statistics), Data Science, Statistical Analysis, Probability Distribution

      4.1
      Rating, 4.1 out of 5 stars
      ·
      88 reviews

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors

      Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Graph Theory, Geometry, Applied Machine Learning, Markov Model, Probability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      59 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Product Cost and Investment Cash Flow Analysis

      Skills you'll gain: Cost Estimation, Cost Management, Financial Modeling, Investment Management, Risk Management, Finance, Spreadsheet Software, Financial Planning, Financial Analysis, Cost Accounting, Business Mathematics, Return On Investment, Cash Flows, Product Management

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      79 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      D

      DeepLearning.AI

      Applied Statistics for Data Analytics

      Skills you'll gain: Probability & Statistics, Statistical Analysis, Statistics, Statistical Modeling, Statistical Hypothesis Testing, Statistical Visualization, Descriptive Statistics, Data Analysis, Histogram, Probability, Probability Distribution, Correlation Analysis, Statistical Inference, Estimation, Simulation and Simulation Software, Sampling (Statistics), Analytical Skills, Spreadsheet Software, Generative AI

      4.9
      Rating, 4.9 out of 5 stars
      ·
      20 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      N

      National Taiwan University

      Operations Research (3): Theory

      Skills you'll gain: Operations Research, Network Model, Statistical Machine Learning, Applied Mathematics, Mathematical Modeling, Machine Learning, Transportation Operations, Process Optimization, Advanced Mathematics, Linear Algebra, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      91 reviews

      Advanced · Course · 1 - 3 Months

    • Status: AI skills
      AI skills
      U

      University of Pennsylvania

      AI and Machine Learning Essentials with Python

      Skills you'll gain: Statistical Machine Learning, PyTorch (Machine Learning Library), Probability, Probability & Statistics, Sampling (Statistics), Deep Learning, Probability Distribution, Python Programming, Supervised Learning, Statistics, Machine Learning, Regression Analysis, Data Processing, Agentic systems, Data Science, Artificial Intelligence, Artificial Neural Networks, Algorithms, Computer Vision, Theoretical Computer Science

      4.6
      Rating, 4.6 out of 5 stars
      ·
      24 reviews

      Intermediate · Specialization · 3 - 6 Months

    • S

      Starweaver

      Matlab and Simulink Basics

      Skills you'll gain: Matlab, Scientific Visualization, Simulation and Simulation Software, Mathematical Modeling, Engineering Analysis, Numerical Analysis, Integrated Development Environments, Data Structures, Scripting, Computer Programming, Debugging

      4
      Rating, 4 out of 5 stars
      ·
      39 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Sampling People, Networks and Records

      Skills you'll gain: Sampling (Statistics), Sample Size Determination, Data Collection, Surveys, Quantitative Research, Statistical Methods, Statistical Software, Probability & Statistics, Probability, Research Methodologies, Network Analysis

      4.3
      Rating, 4.3 out of 5 stars
      ·
      104 reviews

      Beginner · Course · 1 - 3 Months

    • U

      Universidad de los Andes

      Educación Matemática para profesores de infantil. Curso 2

      Skills you'll gain: Mathematics Education, Arithmetic, Systems Of Measurement, Geometry, Logical Reasoning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      20 reviews

      Beginner · Course · 1 - 3 Months

    • 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

      4.4
      Rating, 4.4 out of 5 stars
      ·
      172 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      É

      École normale supérieure

      Approximation Algorithms Part I

      Skills you'll gain: Theoretical Computer Science, Combinatorics, Algorithms, Graph Theory, Computational Thinking, Operations Research, Linear Algebra, Mathematical Modeling, Solution Design, Probability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      554 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      G

      Georgia Institute of Technology

      Advanced Engineering Systems in Motion: Dynamics of Three Dimensional (3D) Motion

      Skills you'll gain: Mechanics, Torque (Physics), Mechanical Engineering, Engineering Analysis, Differential Equations, Engineering, Linear Algebra, Applied Mathematics, Physics, Trigonometry, Advanced Mathematics, Calculus

      4.8
      Rating, 4.8 out of 5 stars
      ·
      310 reviews

      Mixed · Course · 1 - 3 Months

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

    • Statistical Inference for Estimation in Data Science: University of Colorado Boulder
    • Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors: Johns Hopkins University
    • Product Cost and Investment Cash Flow Analysis : University of Colorado Boulder
    • Applied Statistics for Data Analytics: DeepLearning.AI
    • Operations Research (3): Theory: National Taiwan University
    • AI and Machine Learning Essentials with Python: University of Pennsylvania
    • Matlab and Simulink Basics : Starweaver
    • Sampling People, Networks and Records: University of Michigan
    • Educación Matemática para profesores de infantil. Curso 2: Universidad de los Andes
    • Essential Linear Algebra for Data Science: University of Colorado Boulder

    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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