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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

    • U

      University of Colorado Boulder

      The Data Driven Manager

      Skills you'll gain: Sampling (Statistics), Data-Driven Decision-Making, Descriptive Statistics, Statistical Hypothesis Testing, Data Analysis, Probability Distribution, Statistical Software, Statistics, Statistical Visualization, Correlation Analysis, Data Visualization, Estimation, Data Collection, Risk Analysis, Statistical Analysis, Box Plots, Probability, Statistical Methods, R Programming, Return On Investment

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      37 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      T

      The University of Melbourne

      Solving Algorithms for Discrete Optimization

      Skills you'll gain: Operations Research, Advanced Mathematics, Combinatorics, Algorithms, Applied Mathematics, Graph Theory, Mathematical Modeling, Computational Thinking, Performance Tuning, Linear Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      43 reviews

      Intermediate · Course · 1 - 4 Weeks

    • N

      Nanyang Technological University, Singapore

      Introduction to Complexity Science

      Skills you'll gain: Systems Thinking, Network Analysis, Mathematical Modeling, Simulations, Social Sciences, Applied Mathematics, Policy Analysis, Forecasting, Trend Analysis, Jupyter

      4.6
      Rating, 4.6 out of 5 stars
      ·
      30 reviews

      Beginner · Course · 1 - 3 Months

    • D

      Dartmouth College

      Engineering of Structures: Tension

      Skills you'll gain: Structural Engineering, Structural Analysis, Construction, Civil Engineering, Architectural Engineering, Engineering Analysis, Engineering Design Process, Mechanics, Applied Mathematics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      65 reviews

      Beginner · Course · 1 - 4 Weeks

    • K

      Korea Advanced Institute of Science and Technology(KAIST)

      Electrodynamics: In-depth Solutions for Maxwell’s Equations

      Skills you'll gain: Basic Electrical Systems, Electrical Engineering, Electrical Systems, Differential Equations, Electronic Components, Advanced Mathematics, Integral Calculus, Electronics, Applied Mathematics, Physics, Mathematical Modeling, Engineering Analysis, Linear Algebra

      4.8
      Rating, 4.8 out of 5 stars
      ·
      115 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      Universiteit Leiden

      Population Health: Predictive Analytics

      Skills you'll gain: Predictive Analytics, Predictive Modeling, Risk Modeling, R Programming, Statistical Modeling, Sample Size Determination, Statistical Inference, Regression Analysis, Statistical Machine Learning, Feature Engineering, Sampling (Statistics), Data Manipulation, Data Validation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Caltech

      Getting started in cryo-EM

      Skills you'll gain: Medical Imaging, Image Analysis, Laboratory Equipment, Molecular, Cellular, and Microbiology, Biochemistry, Physics, Scientific Visualization, 3D Modeling, Mathematical Modeling

      4.9
      Rating, 4.9 out of 5 stars
      ·
      271 reviews

      Mixed · Course · 1 - 3 Months

    • U

      Universidad Nacional de Colombia

      Sistemas difusos

      Skills you'll gain: Mathematical Modeling, Software Systems, Machine Learning, Applied Mathematics, System Design and Implementation, Programming Principles, Logical Reasoning, Arithmetic, Algorithms

      5
      Rating, 5 out of 5 stars
      ·
      47 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      T

      Tecnológico de Monterrey

      Física: Vectores, Trabajo y Energía

      Skills you'll gain: Calculus, Integral Calculus, Mechanics, Applied Mathematics, Visualization (Computer Graphics), Physics, Geometry, Mathematical Modeling, Graphing, Trigonometry, Algebra

      4.2
      Rating, 4.2 out of 5 stars
      ·
      181 reviews

      Mixed · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Linear Algebra: Orthogonality and Diagonalization

      Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Numerical Analysis, Geometry, Applied Mathematics, Mathematical Modeling

      4.9
      Rating, 4.9 out of 5 stars
      ·
      35 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      RStudio for Six Sigma - Basic Descriptive Statistics

      Skills you'll gain: Sampling (Statistics), Statistical Methods, Descriptive Statistics, Data Visualization, Data Import/Export, Pareto Chart, Histogram, Statistical Analysis, Six Sigma Methodology, Box Plots, R Programming, Probability Distribution, Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      64 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      T

      The Hong Kong University of Science and Technology

      Mastering Statics

      Skills you'll gain: Structural Analysis, Mechanics, Engineering Calculations, Mechanical Engineering, Civil Engineering, Engineering Analysis, Engineering Drawings, Geometry, Algebra, Applied Mathematics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      224 reviews

      Intermediate · Course · 1 - 3 Months

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    1…303132…51

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

    • The Data Driven Manager: University of Colorado Boulder
    • Solving Algorithms for Discrete Optimization: The University of Melbourne
    • Introduction to Complexity Science: Nanyang Technological University, Singapore
    • Engineering of Structures: Tension: Dartmouth College
    • Electrodynamics: In-depth Solutions for Maxwell’s Equations: Korea Advanced Institute of Science and Technology(KAIST)
    • Population Health: Predictive Analytics: Universiteit Leiden
    • Getting started in cryo-EM: Caltech
    • Sistemas difusos: Universidad Nacional de Colombia
    • Física: Vectores, Trabajo y Energía: Tecnológico de Monterrey
    • Linear Algebra: Orthogonality and Diagonalization: Johns Hopkins 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

    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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