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    • Mathematics

    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

    • R

      Rice University

      Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions

      Skills you'll gain: Descriptive Statistics, Probability & Statistics, Probability Distribution, Business Analytics, Microsoft Excel, Data Analysis, Statistical Analysis, Box Plots, Sampling (Statistics), Correlation Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.6K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free
      T

      The University of Melbourne

      Discrete Optimization

      Skills you'll gain: Operations Research, Combinatorics, Applied Mathematics, Graph Theory, Mathematical Modeling, Algorithms, Computational Thinking, Linear Algebra, Computational Logic, Computer Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      776 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Probability Theory: Foundation for Data Science

      Skills you'll gain: Probability, Probability & Statistics, Probability Distribution, Bayesian Statistics, Sampling (Statistics), Statistical Analysis, Descriptive Statistics, Statistical Inference, Correlation Analysis

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      253 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Algorithms for Searching, Sorting, and Indexing

      Skills you'll gain: Data Structures, Algorithms, Theoretical Computer Science, Programming Principles, Computational Thinking, Analysis, Big Data, Probability & Statistics

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      488 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Optical Engineering

      Skills you'll gain: Electrical Engineering, Equipment Design, Performance Tuning, Simulation and Simulation Software, Engineering Calculations, Design Software, Hardware Design, Engineering Analysis, Display Devices, Engineering, Scientific, and Technical Instruments, Computer-Aided Design, Engineering Design Process, Systems Design, Computer Displays, Numerical Analysis, Applied Mathematics, System Requirements, System Design and Implementation, Medical Imaging, Physics

      Build toward a degree

      4.3
      Rating, 4.3 out of 5 stars
      ·
      363 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free
      Free
      U

      University of Pennsylvania

      Wonders of Ancient Egypt

      Skills you'll gain: Art History, Ancient History, Culture, World History, Anthropology, Timelines, Research Methodologies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1K reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Python 101: Develop Your First Python Program

      Skills you'll gain: Game Design, Program Development, Python Programming, Computer Programming, Scripting, Scripting Languages

      4.7
      Rating, 4.7 out of 5 stars
      ·
      243 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • U

      University of Colorado Boulder

      Introduction to High-Performance and Parallel Computing

      Skills you'll gain: Bash (Scripting Language), Scalability, Distributed Computing, Computer Systems, Big Data, Operating Systems, Performance Tuning, File Systems, Linux, Command-Line Interface, Programming Principles, OS Process Management

      Build toward a degree

      3.6
      Rating, 3.6 out of 5 stars
      ·
      137 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado System

      Mathematical Foundations for Cryptography

      Skills you'll gain: Cryptography, Arithmetic, Algorithms, Applied Mathematics, Probability, Computer Science

      4.6
      Rating, 4.6 out of 5 stars
      ·
      329 reviews

      Beginner · Course · 1 - 4 Weeks

    • R

      Rice University

      Introduction to Mechanics

      Skills you'll gain: Mechanics, Torque (Physics), Physics, Structural Analysis, Mechanical Engineering, Calculus, Engineering Calculations, Engineering Analysis, Physical Science, Mathematical Modeling, Algebra, Applied Mathematics, Geometry, Trigonometry

      4.6
      Rating, 4.6 out of 5 stars
      ·
      254 reviews

      Intermediate · Specialization · 1 - 3 Months

    • U

      University of California, Davis

      Research Proposal: Initiating Research

      Skills you'll gain: Market Research, Proposal Writing, Research Methodologies, Market Analysis, Business Research, Data Collection, Quantitative Research, Business Writing, Sampling (Statistics), Survey Creation, Qualitative Research, Request for Proposal, Client Services, Professional Networking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      919 reviews

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Launching into Machine Learning

      Skills you'll gain: Data Quality, Exploratory Data Analysis, Machine Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Google Cloud Platform, Machine Learning Algorithms, Data Analysis, Predictive Modeling, Big Data, Classification And Regression Tree (CART), Regression Analysis, Data Processing, Sampling (Statistics), Test Data, Performance Tuning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.3K reviews

      Beginner · Course · 1 - 3 Months

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    1…141516…51

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

    • Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions: Rice University
    • Discrete Optimization: The University of Melbourne
    • Probability Theory: Foundation for Data Science: University of Colorado Boulder
    • Algorithms for Searching, Sorting, and Indexing: University of Colorado Boulder
    • Optical Engineering: University of Colorado Boulder
    • Wonders of Ancient Egypt: University of Pennsylvania
    • Python 101: Develop Your First Python Program: Coursera Project Network
    • Introduction to High-Performance and Parallel Computing: University of Colorado Boulder
    • Mathematical Foundations for Cryptography: University of Colorado System
    • Introduction to Mechanics: Rice 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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