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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

    • P

      Packt

      The Complete Quantum Computing Course for Beginners

      Skills you'll gain: Object Oriented Programming (OOP), Python Programming, Data Structures, Data Manipulation, Computer Programming, Applied Mathematics, Algorithms, Mathematics and Mathematical Modeling, Data Processing, Scripting, Linear Algebra, Probability, Mathematical Modeling, IBM Cloud, Computer Science, Algebra, Software Installation, Probability & Statistics, Theoretical Computer Science, Artificial Intelligence and Machine Learning (AI/ML)

      4.2
      Rating, 4.2 out of 5 stars
      ·
      32 reviews

      Beginner · Specialization · 3 - 6 Months

    • J

      Johns Hopkins University

      Advanced Linear Models for Data Science 2: Statistical Linear Models

      Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Integral Calculus

      4.6
      Rating, 4.6 out of 5 stars
      ·
      101 reviews

      Advanced · Course · 1 - 4 Weeks

    • R

      Rice University

      Principles of Computing (Part 1)

      Skills you'll gain: Combinatorics, Probability, Programming Principles, Program Development, Computational Thinking, Computer Programming, Object Oriented Programming (OOP), Development Testing, Software Testing, Applied Mathematics, Debugging, Algorithms, Python Programming, Game Design, Simulations

      4.7
      Rating, 4.7 out of 5 stars
      ·
      584 reviews

      Intermediate · Course · 1 - 3 Months

    • A

      Arizona State University

      Introduction to Materials Science

      Skills you'll gain: Chemical Engineering, Chemistry, Engineering, Mechanical Engineering, Physical Science, Physics, Semiconductors

      4.7
      Rating, 4.7 out of 5 stars
      ·
      135 reviews

      Beginner · Course · 1 - 3 Months

    • É

      École Polytechnique Fédérale de Lausanne

      Digital Signal Processing 3: Analog vs Digital

      Skills you'll gain: Digital Communications, Electrical and Computer Engineering, Electronics Engineering, Electronics, Numerical Analysis, Engineering Analysis, Telecommunications, Linear Algebra, Calculus, Mathematical Modeling, Quantitative Research, Systems Of Measurement, Applied Mathematics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      89 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      N

      National Taiwan University

      Operations Research (2): Optimization Algorithms

      Skills you'll gain: Operations Research, Linear Algebra, Numerical Analysis, Applied Mathematics, Algorithms, Process Optimization, Engineering Calculations, Program Implementation, Mathematical Software, Computational Thinking, Operational Analysis, Mathematical Modeling, Decision Making, Calculus

      4.8
      Rating, 4.8 out of 5 stars
      ·
      149 reviews

      Intermediate · Course · 1 - 3 Months

    • 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

    • U

      University of Colorado Boulder

      Introducción a las Simulaciones PhET para la Educación STEM

      Skills you'll gain: Interactive Learning, Pedagogy, Education Software and Technology, Mathematics Education, Simulations, Web Content Accessibility Guidelines

      4.9
      Rating, 4.9 out of 5 stars
      ·
      551 reviews

      Beginner · Course · 1 - 3 Months

    • 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

    • 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: 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

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

    • The Complete Quantum Computing Course for Beginners: Packt
    • Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University
    • Principles of Computing (Part 1): Rice University
    • Introduction to Materials Science : Arizona State University
    • Digital Signal Processing 3: Analog vs Digital: École Polytechnique Fédérale de Lausanne
    • Operations Research (2): Optimization Algorithms: National Taiwan University
    • Statistical Inference for Estimation in Data Science: University of Colorado Boulder
    • Introducción a las Simulaciones PhET para la Educación STEM: University of Colorado Boulder
    • Operations Research (3): Theory: National Taiwan University
    • Product Cost and Investment Cash Flow Analysis : 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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