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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

      Approximation Algorithms and Linear Programming

      Skills you'll gain: Operations Research, Algorithms, Applied Mathematics, Graph Theory, Network Model, Linear Algebra, Combinatorics, Computational Thinking, Mathematical Modeling, Theoretical Computer Science, Python Programming, Network Analysis

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      44 reviews

      Advanced · Course · 1 - 4 Weeks

    • S

      S.P. Jain Institute of Management and Research

      Data Analysis

      Skills you'll gain: Data Analysis, Quantitative Research, Statistical Hypothesis Testing, Sampling (Statistics), Descriptive Statistics, Business Analytics, Regression Analysis, Business Mathematics, Data-Driven Decision-Making, Statistical Analysis, Probability Distribution, Microsoft Excel, Statistical Inference, Probability, Variance Analysis, Estimation

      Build toward a degree

      Beginner · Course · 1 - 3 Months

    • U

      University of Pennsylvania

      Introducción a las Finanzas Corporativas

      Skills you'll gain: Finance, Capital Budgeting, Financial Modeling, Financial Analysis, Return On Investment, Financial Management, Corporate Finance, Business Mathematics, Cash Flows, Loans, Timelines

      4.6
      Rating, 4.6 out of 5 stars
      ·
      83 reviews

      Mixed · Course · 1 - 4 Weeks

    • E

      EIT Digital

      Geometric Algorithms

      Skills you'll gain: Geometry, Algorithms, Computer Graphics, Data Structures, Graph Theory, Spatial Data Analysis, Computational Thinking, Geographic Information Systems, Theoretical Computer Science, Spatial Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      Python Fundamentals and Data Science Essentials

      Skills you'll gain: Matplotlib, Data Visualization, Linear Algebra, NumPy, Seaborn, Pandas (Python Package), Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Python Programming, Jupyter, Data Analysis, Data Manipulation, Classification And Regression Tree (CART), Regression Analysis, Data Structures

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      É

      École normale supérieure

      Approximation Algorithms Part II

      Skills you'll gain: Theoretical Computer Science, Combinatorics, Algorithms, Operations Research, Linear Algebra, Solution Design, Mathematical Modeling, Probability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      44 reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of California, Davis

      ‏SQL لعلوم البيانات

      Skills you'll gain: SQL, Data Manipulation, Data Analysis, Business Analytics, Query Languages, Databases, Relational Databases, Data Management, Data Modeling, Data Integration

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      É

      École Polytechnique

      Optique non-linéaire

      Skills you'll gain: Simulation and Simulation Software, Engineering Analysis, Applied Mathematics, Engineering, Scientific, and Technical Instruments, Laboratory Equipment, Mathematical Modeling, Differential Equations, Physics, Experimentation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      56 reviews

      Mixed · Course · 1 - 3 Months

    • G

      Google Cloud

      Launching into Machine Learning en Español

      Skills you'll gain: Exploratory Data Analysis, Data Quality, Applied Machine Learning, Machine Learning, Supervised Learning, Machine Learning Algorithms, Google Cloud Platform, Data Analysis, Big Data, Sampling (Statistics), Regression Analysis, Performance Tuning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      131 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Statistical Learning for Data Science

      Skills you'll gain: Statistical Modeling, Statistical Machine Learning, Applied Machine Learning, Data Science, Statistical Methods, Classification And Regression Tree (CART), Statistical Analysis, Supervised Learning, Regression Analysis, Predictive Modeling, Artificial Neural Networks, Dimensionality Reduction, Unsupervised Learning, Statistical Inference, Machine Learning Algorithms, Decision Tree Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Advanced Analytics

      Build toward a degree

      4
      Rating, 4 out of 5 stars
      ·
      17 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      Non-Equilibrium Applications of Statistical Thermodynamics

      Skills you'll gain: Chemical Engineering, Chemistry, Thermal Management, Engineering Calculations, Differential Equations, Physics, Applied Mathematics, Simulation and Simulation Software

      4.4
      Rating, 4.4 out of 5 stars
      ·
      83 reviews

      Advanced · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Number Sense for Primary Education with PhET Simulations

      Skills you'll gain: Lesson Planning, Interactive Learning, Education Software and Technology, Mathematics Education, Simulations, Arithmetic, Cultural Responsiveness

      Beginner · Course · 1 - 3 Months

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    1…373839…51

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

    • Approximation Algorithms and Linear Programming : University of Colorado Boulder
    • Data Analysis: S.P. Jain Institute of Management and Research
    • Introducción a las Finanzas Corporativas: University of Pennsylvania
    • Geometric Algorithms: EIT Digital
    • Python Fundamentals and Data Science Essentials: Packt
    • Approximation Algorithms Part II: École normale supérieure
    • ‏SQL لعلوم البيانات: University of California, Davis
    • Optique non-linéaire: École Polytechnique
    • Launching into Machine Learning en Español: Google Cloud
    • Statistical Learning for Data Science: 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

    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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