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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

    • K

      Korea Advanced Institute of Science and Technology(KAIST)

      Math for AI beginner part 1 Linear Algebra

      Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Mathematics, Deep Learning, Machine Learning, Supervised Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      30 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      N

      Northwestern University

      Modern Robotics, Course 2: Robot Kinematics

      Skills you'll gain: Mathematical Modeling, Machine Controls, Automation Engineering, Engineering Calculations, Applied Mathematics, Engineering Analysis, Mechanics, Computational Logic, Simulation and Simulation Software, Virtual Environment, Torque (Physics), Numerical Analysis, Linear Algebra, Trigonometry, Control Systems

      4.9
      Rating, 4.9 out of 5 stars
      ·
      295 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      É

      École Polytechnique Fédérale de Lausanne

      Digital Signal Processing 2: Filtering

      Skills you'll gain: Digital Communications, Electrical Engineering, Electrical and Computer Engineering, Telecommunications, Electronic Systems, Engineering Analysis, Computer Engineering, Engineering Calculations, Numerical Analysis, Linear Algebra, Mathematical Modeling, Applied Mathematics, Algorithms, Data Mapping, Real Time Data

      4.7
      Rating, 4.7 out of 5 stars
      ·
      191 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      N

      New York University

      Fundamentals of Machine Learning in Finance

      Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Machine Learning Algorithms, 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

    • 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
      ·
      135 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Survival Analysis in R for Public Health

      Skills you'll gain: Biostatistics, Statistical Analysis, R Programming, Regression Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Data Import/Export, Statistical Hypothesis Testing, Descriptive Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      323 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Mining Foundations and Practice

      Skills you'll gain: Data Mining, Unsupervised Learning, Data Warehousing, Data Pipelines, Data Processing, Data Integration, Data Modeling, Data Science, Data Cleansing, Big Data, Supervised Learning, Data Transformation, Machine Learning Methods, Text Mining, Data Quality, Classification And Regression Tree (CART), Unstructured Data, Data Analysis, Data Presentation, Analytical Skills

      Build toward a degree

      4.1
      Rating, 4.1 out of 5 stars
      ·
      134 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free
      Free
      P

      Princeton University

      Analysis of Algorithms

      Skills you'll gain: Combinatorics, Algorithms, Theoretical Computer Science, Mathematical Theory & Analysis, Data Structures, Advanced Mathematics, Mathematical Modeling, Probability

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1K reviews

      Advanced · Course · 1 - 3 Months

    • U

      Universidade Estadual de Campinas

      Processamento Digital de Sinais - Amostragem

      Skills you'll gain: Digital Communications, Simulations, Electrical and Computer Engineering, Telecommunications, Mathematical Modeling, Electronics Engineering, Systems Of Measurement, Technical Analysis, Applied Mathematics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      209 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      UX Research at Scale: Surveys, Analytics, Online Testing

      Skills you'll gain: Surveys, UI/UX Research, User Research, Survey Creation, Sampling (Statistics), A/B Testing, Qualitative Research, Usability Testing, Research Methodologies, Web Analytics and SEO, Data Collection, Research Design, Sample Size Determination, Analytics, Data Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      206 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Vital Skills for Data Science

      Skills you'll gain: Data Ethics, Data Visualization Software, Interactive Data Visualization, Visualization (Computer Graphics), Data Security, Data Presentation, User Centered Design, User Experience Design, Technical Communication, Cybersecurity, Healthcare Ethics, Usability, Statistical Reporting, Human Centered Design, Authentications, Data Storytelling, Data Science, Data Encryption Standard, Computer Security Awareness Training, Ethical Standards And Conduct

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      111 reviews

      Intermediate · Specialization · 3 - 6 Months

    • G

      Georgia Institute of Technology

      Games without Chance: Combinatorial Game Theory

      Skills you'll gain: Game Theory, Combinatorics, Mathematical Theory & Analysis, Computational Logic, Mathematical Modeling

      4.3
      Rating, 4.3 out of 5 stars
      ·
      210 reviews

      Mixed · Course · 1 - 3 Months

    Searches related to mathematics

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    1…212223…52

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

    • Math for AI beginner part 1 Linear Algebra: Korea Advanced Institute of Science and Technology(KAIST)
    • Modern Robotics, Course 2: Robot Kinematics: Northwestern University
    • Digital Signal Processing 2: Filtering: École Polytechnique Fédérale de Lausanne
    • Fundamentals of Machine Learning in Finance: New York University
    • Fundamentos de estadística aplicada: Universidad de los Andes
    • Survival Analysis in R for Public Health: Imperial College London
    • Data Mining Foundations and Practice: University of Colorado Boulder
    • Analysis of Algorithms: Princeton University
    • Processamento Digital de Sinais - Amostragem: Universidade Estadual de Campinas
    • UX Research at Scale: Surveys, Analytics, Online Testing: University of Michigan

    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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