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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

    • Status: Free
      Free
      C

      Coursera Instructor Network

      An Introduction to Fixed Income Securities

      Skills you'll gain: Risk Analysis, Securities (Finance), Financial Analysis, Credit Risk, Financial Market, Investments, Market Dynamics, Portfolio Management, Finance, Wealth Management, Investment Banking

      4.7
      Rating, 4.7 out of 5 stars
      ·
      22 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      The Data Driven Manager

      Skills you'll gain: Sampling (Statistics), Engineering Management, Data-Driven Decision-Making, Data Literacy, Probability Distribution, Descriptive Statistics, Statistical Hypothesis Testing, Estimation, Data Analysis, Sample Size Determination, Correlation Analysis, Data Visualization, Statistical Software, Statistical Methods, Statistical Analysis, Leadership and Management, Technical Management, Statistical Visualization, Statistics, Leadership

      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

    • U

      University of Colorado Boulder

      Statistical Inference for Estimation in Data Science

      Skills you'll gain: Statistical Inference, Statistical Methods, Probability & Statistics, Statistical Modeling, Sampling (Statistics), Statistical Analysis, Data Science, Probability Distribution

      4.1
      Rating, 4.1 out of 5 stars
      ·
      88 reviews

      Intermediate · Course · 1 - 3 Months

    • P

      Packt

      Mathematical Foundations and Quantum Mechanics Essentials

      Skills you'll gain: Applied Mathematics, Mathematics and Mathematical Modeling, Linear Algebra, Probability, Mathematical Modeling, Computer Science, Algebra, Probability & Statistics, Statistics, Physics, Mechanics, Emerging Technologies

      4.2
      Rating, 4.2 out of 5 stars
      ·
      22 reviews

      Beginner · Course · 1 - 4 Weeks

    • 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

    • 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

    • 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
      C

      Coursera Instructor Network

      Algorithmic Solutions: Design, Problem Solving, Reporting

      Skills you'll gain: Algorithms, Technical Communication, Pseudocode, Computational Thinking, Solution Design, Programming Principles, Software Design, Theoretical Computer Science, Data Structures, Problem Management, Computer Science

      4.4
      Rating, 4.4 out of 5 stars
      ·
      21 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      University of California, Irvine

      Emergent Phenomena in Science and Everyday Life

      Skills you'll gain: Systems Thinking, Analysis, General Science and Research, Computational Thinking, Biology, Scientific Methods, Mathematical Modeling, Physics, Psychology, Emerging Technologies

      4.4
      Rating, 4.4 out of 5 stars
      ·
      151 reviews

      Mixed · 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

    • U

      University of Michigan

      The Total Data Quality Framework

      Skills you'll gain: Data Quality, Data Cleansing, Data Collection, Data Validation, Data Analysis, Data Processing, Threat Detection, Data Access, Sampling (Statistics)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      45 reviews

      Beginner · Course · 1 - 4 Weeks

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    1…313233…51

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

    • An Introduction to Fixed Income Securities : Coursera Instructor Network
    • The Data Driven Manager: University of Colorado Boulder
    • Solving Algorithms for Discrete Optimization: The University of Melbourne
    • Statistical Inference for Estimation in Data Science: University of Colorado Boulder
    • Mathematical Foundations and Quantum Mechanics Essentials: Packt
    • Engineering of Structures: Tension: Dartmouth College
    • Introduction to Complexity Science: Nanyang Technological University, Singapore
    • Electrodynamics: In-depth Solutions for Maxwell’s Equations: Korea Advanced Institute of Science and Technology(KAIST)
    • Algorithmic Solutions: Design, Problem Solving, Reporting: Coursera Instructor Network
    • Emergent Phenomena in Science and Everyday Life: University of California, Irvine

    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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