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    Mathematics Courses Online

    Explore mathematics for problem-solving and logical thinking. Learn about algebra, calculus, geometry, and other mathematical disciplines.

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    Explore the Mathematics Course Catalog

    • Status: Free
      Free
      C

      Coursera Project Network

      Improving Math Engagement with Prodigy

      Skills you'll gain: Education Software and Technology, Mathematics Education

      4.7
      Rating, 4.7 out of 5 stars
      ·
      83 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      P

      Peking University

      离散数学概论 Discrete Mathematics Generality

      Skills you'll gain: Theoretical Computer Science, Computational Logic, Graph Theory, Logical Reasoning, Geospatial Information and Technology, Computational Thinking, Spatial Analysis, Deductive Reasoning, Network Analysis, General Mathematics, Algebra, Mathematics and Mathematical Modeling, Information Technology, Computer Science, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      278 reviews

      Beginner · Course · 3 - 6 Months

    • J

      Johns Hopkins University

      Precalculus through Data and Modelling

      Skills you'll gain: Data Analysis, Applied Mathematics, Mathematical Modeling, Graphing, Trigonometry, Analytical Skills, R Programming, General Mathematics, Statistics, Algebra, Systems Of Measurement, Correlation Analysis, Regression Analysis, Calculus, Geometry

      4.7
      Rating, 4.7 out of 5 stars
      ·
      303 reviews

      Beginner · Specialization · 3 - 6 Months

    • J

      Johns Hopkins University

      Differential Calculus through Data and Modeling

      Skills you'll gain: Calculus, Applied Mathematics, Data Modeling, Estimation, Graphing, Mathematical Modeling, Numerical Analysis, Algebra, Trigonometry, Cost Estimation, Linear Algebra, Operations Research, Data Analysis, Advanced Mathematics, Mathematical Software, Analysis, Derivatives, Mathematical Theory & Analysis, Geometry, Trend Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      346 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      T

      The Hong Kong University of Science and Technology

      Fibonacci Numbers and the Golden Ratio

      Skills you'll gain: Arithmetic, Geometry, Mathematical Theory & Analysis, Advanced Mathematics, Combinatorics, Algebra, Mathematical Modeling, Applied Mathematics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      Calculus for Machine Learning and Data Science

      Skills you'll gain: Applied Mathematics, Calculus, Numerical Analysis, Mathematical Modeling, Machine Learning, Python Programming, Regression Analysis, Artificial Neural Networks, Deep Learning, Derivatives

      4.8
      Rating, 4.8 out of 5 stars
      ·
      840 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Columbia University

      Financial Engineering and Risk Management

      Skills you'll gain: Portfolio Management, Derivatives, Financial Market, Securities (Finance), Investment Management, Financial Systems, Asset Management, Credit Risk, Actuarial Science, Mortgage Loans, Mathematical Modeling, Mathematics and Mathematical Modeling, Applied Mathematics, Financial Trading, Futures Exchange, Financial Modeling, Regression Analysis, Market Liquidity, Capital Markets, Statistical Methods

      4.6
      Rating, 4.6 out of 5 stars
      ·
      368 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New AI skills
      New AI skills
      G

      Google

      Google Data Analytics

      Skills you'll gain: Data Storytelling, Data Literacy, Data Visualization, Data Presentation, Data Ethics, Rmarkdown, Interactive Data Visualization, Interviewing Skills, Data Cleansing, Data Validation, Ggplot2, Tableau Software, Presentations, Spreadsheet Software, Data Analysis, Data Visualization Software, Stakeholder Communications, Dashboard, Sampling (Statistics), R Programming

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      167K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of Colorado Boulder

      Expressway to Data Science: Essential Math

      Skills you'll gain: Linear Algebra, Integral Calculus, Algebra, Numerical Analysis, Calculus, Graphing, Applied Mathematics, Data Science, Mathematical Theory & Analysis, Data Analysis, Statistical Methods, Derivatives

      4.5
      Rating, 4.5 out of 5 stars
      ·
      432 reviews

      Intermediate · Specialization · 3 - 6 Months

    • N

      Northwestern University

      Modern Robotics: Mechanics, Planning, and Control

      Skills you'll gain: Machine Controls, Control Systems, Mathematical Modeling, Simulation and Simulation Software, Automation Engineering, Engineering Calculations, Engineering, Mechanics, Mechanical Engineering, Torque (Physics), Artificial Intelligence, Applied Mathematics, Engineering Analysis, Automation, Computational Logic, Virtual Environment, Robotic Process Automation, Graph Theory, Matlab, Numerical Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      J

      Johns Hopkins University

      Foundational Mathematics for AI

      Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Bayesian Statistics, Statistics, Artificial Intelligence and Machine Learning (AI/ML), Probability, Regression Analysis, Calculus, Statistical Analysis, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Integral Calculus, Algebra, Machine Learning Algorithms, Dimensionality Reduction, Correlation Analysis

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      J

      Johns Hopkins University

      The Mathematics of Democracy, Politics and Manipulation

      Skills you'll gain: Political Sciences, Policy Analysis, Social Justice, Social Sciences, Public Policies, Game Theory, Demography, Logical Reasoning, Applied Mathematics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      16 reviews

      Mixed · Course · 1 - 3 Months

    Mathematics learners also search

    Mathematics Projects
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    Discrete Mathematics
    Physics
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    Quantum Physics
    Theoretical Computer Science
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    1234…51

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

    • Improving Math Engagement with Prodigy: Coursera Project Network
    • 离散数学概论 Discrete Mathematics Generality: Peking University
    • Precalculus through Data and Modelling: Johns Hopkins University
    • Differential Calculus through Data and Modeling: Johns Hopkins University
    • Fibonacci Numbers and the Golden Ratio: The Hong Kong University of Science and Technology
    • Calculus for Machine Learning and Data Science: DeepLearning.AI
    • Financial Engineering and Risk Management: Columbia University
    • Google Data Analytics: Google
    • Expressway to Data Science: Essential Math: University of Colorado Boulder
    • Modern Robotics: Mechanics, Planning, and Control: Northwestern University

    Frequently Asked Questions about Mathematics

    Mathematics courses on Coursera provide a comprehensive curriculum designed to strengthen your analytical skills and problem-solving abilities, including:

    • Proficiency in core mathematical principles such as algebra, calculus, and geometry
    • Advanced topics like differential equations and complex variables
    • Application of mathematical theories to real-world problems in engineering, physics, and economics
    • Techniques for logical reasoning and abstract thinking
    • Use of mathematical software tools for computation and visualization‎

    Coursera’s mathematics courses are accessible to learners of all backgrounds:

    • Introductory courses do not require prior experience and start with fundamental concepts.
    • Intermediate courses are suitable for those with basic knowledge in mathematics, expanding into more detailed aspects of the subject.
    • Advanced courses target professionals and students looking to deepen their expertise in specialized mathematical areas.‎

    By participating in Coursera’s mathematics courses, you can earn various credentials that reflect your level of expertise:

    • Course certificates for completing individual modules demonstrating essential mathematical knowledge
    • Professional certificates that signify proficiency in specific mathematical fields such as applied mathematics or statistical analysis
    • Degree courses and specializations that can serve as a substantial academic qualification in mathematics‎

    A strong foundation in mathematics can lead to diverse career opportunities in multiple sectors, including:

    • Actuarial Analyst, utilizing mathematical skills to assess risk in insurance and finance
    • Statistical Researcher, providing insights in healthcare, public policy, and technology
    • Cryptanalyst, securing data and communications with advanced mathematical techniques
    • Quantitative Developer, designing algorithms and models in the finance sector
    • Academic roles in education institutions teaching and developing mathematical curriculum

    These careers utilize deep mathematical knowledge to innovate solutions and drive success across various industries.‎

    Yes, Coursera offers a variety of free courses across many topics, including mathematics. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.‎

    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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