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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

    • D

      Dartmouth College

      The Engineering of Structures Around Us

      Skills you'll gain: Structural Analysis, Structural Engineering, Building Design, Civil Engineering, Vibrations, Architectural Engineering, Mechanical Engineering, Construction, SketchUp (3D Modeling Software), Mechanics, Engineering Analysis, Engineering Calculations, Mathematical Modeling, Prototyping, Engineering Design Process, 3D Modeling, Simulation and Simulation Software, Applied Mathematics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      145 reviews

      Beginner · Specialization · 3 - 6 Months

    • É

      École Polytechnique

      Aléatoire : une introduction aux probabilités - Partie 1

      Skills you'll gain: Probability, Probability Distribution, Simulations, Probability & Statistics, Statistical Methods, Mathematical Modeling, Mathematical Theory & Analysis, Applied Mathematics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      105 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      T

      The Chinese University of Hong Kong

      Information Theory

      Skills you'll gain: Digital Communications, Theoretical Computer Science, Telecommunications, Information Management, Probability, Probability Distribution, Technical Communication, Algorithms, General Mathematics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      163 reviews

      Mixed · Course · 3 - 6 Months

    • 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

      University of Colorado Boulder

      Control Systems Analysis: Modeling of Dynamic Systems

      Skills you'll gain: Control Systems, Mathematical Modeling, Engineering Analysis, Differential Equations, Engineering Calculations, Systems Analysis, Electrical Systems, Mechanics, Applied Mathematics, Basic Electrical Systems

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      82 reviews

      Intermediate · Course · 1 - 3 Months

    • 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

    • F

      Fractal Analytics

      Quantum Computing For Everyone - An Introduction

      Skills you'll gain: Computer Science, IBM Cloud, Algorithms, Data Ethics, Computational Thinking, Linear Algebra, Emerging Technologies, Cryptography, Physics, Applied Mathematics

      4
      Rating, 4 out of 5 stars
      ·
      66 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Battery State-of-Health (SOH) Estimation

      Skills you'll gain: Estimation, Simulation and Simulation Software, Applied Mathematics, Laboratory Testing, Matlab, Performance Testing, Electric Power Systems, Mathematical Modeling, Statistical Methods, Electrical Engineering, Basic Electrical Systems, Scripting, Algorithms, Chemistry

      4.7
      Rating, 4.7 out of 5 stars
      ·
      157 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Statistical Modeling for Data Science Applications

      Skills you'll gain: Statistical Inference, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Ethics, Statistical Methods, Data Analysis, Statistical Analysis, Data Modeling, Predictive Modeling, Probability & Statistics, Advanced Analytics, Correlation Analysis, Forecasting, Data Science, A/B Testing, Machine Learning, Classification And Regression Tree (CART), Linear Algebra

      Build toward a degree

      4.1
      Rating, 4.1 out of 5 stars
      ·
      52 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      Active Learning in STEM with PhET Interactive Simulations

      Skills you'll gain: Instructional Strategies, Education Software and Technology, Mathematics Education, Pedagogy, Simulations, Simulation and Simulation Software, Web Content Accessibility Guidelines, User Feedback, Experimentation, Research, Peer Review, Scientific Methods, Design Strategies, Chemistry, Technical Documentation, Physics, Biology

      4.9
      Rating, 4.9 out of 5 stars
      ·
      130 reviews

      Beginner · Specialization · 3 - 6 Months

    • 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
      Free
      C

      Coursera Project Network

      Introduction to Business Analysis Using Spreadsheets: Basics

      Skills you'll gain: Google Sheets, Spreadsheet Software, Data Presentation, Statistical Visualization, Data Analysis, Data Visualization Software, Business Analytics, Productivity Software, Business Analysis, Data Manipulation, Descriptive Statistics, Analysis, Excel Formulas, Data Cleansing, Mathematical Software

      4.3
      Rating, 4.3 out of 5 stars
      ·
      999 reviews

      Beginner · Guided Project · Less Than 2 Hours

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    1…222324…52

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

    • The Engineering of Structures Around Us: Dartmouth College
    • Aléatoire : une introduction aux probabilités - Partie 1: École Polytechnique
    • Information Theory: The Chinese University of Hong Kong
    • Fundamentals of Machine Learning in Finance: New York University
    • Control Systems Analysis: Modeling of Dynamic Systems: University of Colorado Boulder
    • Digital Signal Processing 2: Filtering: École Polytechnique Fédérale de Lausanne
    • Quantum Computing For Everyone - An Introduction : Fractal Analytics
    • Battery State-of-Health (SOH) Estimation: University of Colorado Boulder
    • Statistical Modeling for Data Science Applications: University of Colorado Boulder
    • Active Learning in STEM with PhET Interactive Simulations: 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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