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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

    • J

      Johns Hopkins University

      Data Science Decisions in Time

      Skills you'll gain: Precision Medicine, Game Theory, Reinforcement Learning, Data-Driven Decision-Making, Clinical Trials, Bioinformatics, Data Analysis, Image Analysis, Analytics, Markov Model, Bayesian Statistics, Time Series Analysis and Forecasting, Decision Tree Learning, Business Analytics, Data Science, Strategic Decision-Making, Anomaly Detection, Computational Thinking, Cybersecurity, Algorithms

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      Stability and Capability in Quality Improvement

      Skills you'll gain: Process Capability, Statistical Process Controls, Statistical Analysis, Data Analysis Software, R Programming, Quality Control, Statistical Methods, Process Analysis, Data Transformation, Statistical Hypothesis Testing, Process Improvement, Probability Distribution

      Build toward a degree

      4
      Rating, 4 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      The Physics of Emergence: Introduction to Condensed Matter

      Skills you'll gain: Physics, Physical Science, Semiconductors, Algebra, Electronic Components, Advanced Mathematics, Mathematical Modeling, Simulations, Calculus, Science and Research, Applied Mathematics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18 reviews

      Beginner · Specialization · 1 - 3 Months

    • U

      University of Colorado Boulder

      Supervised Text Classification for Marketing Analytics

      Skills you'll gain: Supervised Learning, Marketing Analytics, Machine Learning, Deep Learning, Machine Learning Algorithms, Tensorflow, Scikit Learn (Machine Learning Library), Python Programming, Marketing, Natural Language Processing, Google Cloud Platform, Artificial Neural Networks, Text Mining, Performance Metric

      Build toward a degree

      3.1
      Rating, 3.1 out of 5 stars
      ·
      14 reviews

      Beginner · Course · 1 - 4 Weeks

    • A

      Arizona State University

      Electrical Characterization: Diodes

      Skills you'll gain: Semiconductors, Electronic Components, Electronics, Basic Electrical Systems, Electrical Engineering, Manufacturing Processes, Process Control, Laboratory Equipment, Engineering Calculations, Applied Mathematics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Spacecraft Relative Motion Kinematics and Kinetics

      Skills you'll gain: Mechanics, Differential Equations, Mathematical Modeling, Advanced Mathematics, Linear Algebra, Engineering Calculations, Simulations, Applied Mathematics, Physics, Calculus

      5
      Rating, 5 out of 5 stars
      ·
      7 reviews

      Advanced · Course · 1 - 4 Weeks

    • N

      Nanyang Technological University, Singapore

      Beauty, Form & Function: An Exploration of Symmetry

      Skills you'll gain: Geometry, Design Elements And Principles, Chemistry, Art History, Architectural Design, Physical Science, Biochemistry, Applied Mathematics, Research

      3.7
      Rating, 3.7 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Spacecraft Formation Relative Orbits

      Skills you'll gain: Control Systems, Vibrations, Systems Engineering, Mechanics, Numerical Analysis, Differential Equations, Mathematical Modeling, Simulation and Simulation Software, Engineering Analysis, Simulations, Advanced Mathematics, Linear Algebra, Engineering Design Process, Engineering Calculations, Applied Mathematics, Physics, Calculus

      5
      Rating, 5 out of 5 stars
      ·
      7 reviews

      Advanced · Specialization · 1 - 3 Months

    • U

      University of Michigan

      How to Describe Data

      Skills you'll gain: Histogram, Data Visualization, Data Literacy, Data Presentation, Data Collection, Descriptive Statistics, Statistics, Data Analysis, Statistical Visualization, Probability & Statistics, Statistical Reporting, Sampling (Statistics), Data Validation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      18 reviews

      Beginner · Course · 1 - 4 Weeks

    • H

      Howard University

      Fundamental Linear Algebra Concepts with Python

      Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Numerical Analysis, Algebra, Python Programming, Data Manipulation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      16 reviews

      Mixed · Course · 1 - 4 Weeks

    • H

      Howard University

      Building Regression Models with Linear Algebra

      Skills you'll gain: Regression Analysis, Predictive Modeling, Statistical Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Applied Mathematics, Machine Learning Methods, Linear Algebra, Small Data, Statistical Analysis, NumPy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Modeling of Autonomous Systems

      Skills you'll gain: Mathematical Modeling, Software Systems, Mechanical Engineering, Systems Analysis, Systems Engineering, Simulations, Applied Mathematics, Automation, Differential Equations, Hardware Architecture, Verification And Validation

      Build toward a degree

      3.7
      Rating, 3.7 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 4 Weeks

    Searches related to mathematics

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    1…424344…52

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

    • Data Science Decisions in Time: Johns Hopkins University
    • Stability and Capability in Quality Improvement: University of Colorado Boulder
    • The Physics of Emergence: Introduction to Condensed Matter: University of Colorado Boulder
    • Supervised Text Classification for Marketing Analytics: University of Colorado Boulder
    • Electrical Characterization: Diodes: Arizona State University
    • Spacecraft Relative Motion Kinematics and Kinetics: University of Colorado Boulder
    • Beauty, Form & Function: An Exploration of Symmetry: Nanyang Technological University, Singapore
    • Spacecraft Formation Relative Orbits: University of Colorado Boulder
    • How to Describe Data: University of Michigan
    • Fundamental Linear Algebra Concepts with Python: Howard 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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