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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: New
      New
      J

      Johns Hopkins University

      Introduction to Neural Networks

      Skills you'll gain: Artificial Neural Networks, Machine Learning Algorithms, Deep Learning, Computer Vision, Image Analysis, Machine Learning, Linear Algebra, Artificial Intelligence, Performance Tuning, Probability & Statistics

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Global Climate Change Policies and Analysis

      Skills you'll gain: Environmental Policy, Environment, Environmental Issue, International Relations, Policy Analysis, Energy and Utilities, Policy Development, World History, Mitigation, Economics, Environmental Science, Data Analysis, Physical Science, Forecasting, Emerging Technologies

      Build toward a degree

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Design Strategies for Maximizing Total Data Quality

      Skills you'll gain: Data Quality, Data Integrity, Data Validation, Quality Assurance, Data Collection, Data Processing, Data Analysis, Data Access, Sampling (Statistics), Statistical Methods

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      B

      Ball State University

      Introduction to Data Science

      Skills you'll gain: Data Ethics, Data Collection, Probability & Statistics, Statistics, Data Visualization Software, R Programming, Data Science, Sampling (Statistics), Probability, Simulations, Data Wrangling, Analytical Skills, Data Analysis, Mathematical Theory & Analysis, General Mathematics, Statistical Analysis, Information Privacy, Regression Analysis, Arithmetic, Data Structures

      Build toward a degree

      Beginner · Course · 1 - 3 Months

    • U

      University of California, Santa Cruz

      Bayesian Statistics: Capstone Project

      Skills you'll gain: Bayesian Statistics, Technical Communication, R Programming, Statistical Analysis, Statistical Modeling, Data Analysis, Time Series Analysis and Forecasting, Markov Model, Statistical Methods, Predictive Modeling, Sampling (Statistics), Probability Distribution

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      U

      University of Glasgow

      Applied AI for Engineers and Scientists: Foundations

      Skills you'll gain: Artificial Neural Networks, Matlab, Supervised Learning, Applied Machine Learning, Machine Learning, Data Manipulation, Data Cleansing, Artificial Intelligence, Feature Engineering, Data Transformation, Classification And Regression Tree (CART), Predictive Modeling, Numerical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Software, Programming Principles, Computer Programming, Scripting, Data Structures, Machine Learning Algorithms

      Beginner · Specialization · 1 - 3 Months

    • U

      University of Colorado Boulder

      Requirement Specifications for Autonomous Systems

      Skills you'll gain: Computational Logic, Theoretical Computer Science, System Requirements, Agentic systems, Verification And Validation, Mathematical Modeling, Control Systems, Linear Algebra, Computer Science, Applied Mathematics

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • U

      University of Michigan

      Muestreo de personas, redes y registros

      Skills you'll gain: Sampling (Statistics), Sample Size Determination, Data Collection, Surveys, Statistical Methods, Quantitative Research, Probability & Statistics, Statistical Inference, Statistical Software, Network Analysis

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Modeling Climate Anomalies with Statistical Analysis

      Skills you'll gain: Statistical Analysis, Matplotlib, Regression Analysis, Statistical Modeling, Data Science, Data Analysis, Pandas (Python Package), Anomaly Detection, Time Series Analysis and Forecasting, Data Visualization Software, Data Integration, Data Collection, Data Manipulation, Application Programming Interface (API)

      Build toward a degree

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Spacecraft Relative Motion Control

      Skills you'll gain: Control Systems, Numerical Analysis, Simulations, Engineering Analysis, Mathematical Modeling, Linear Algebra, Differential Equations, Applied Mathematics

      Advanced · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Statistical Methods for Computer Science

      Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Statistical Methods, Combinatorics, Bayesian Network, Statistical Hypothesis Testing, Data Analysis, Probability, Probability & Statistics, Bayesian Statistics, Probability Distribution, Simulations, Data Science, Markov Model, Applied Mathematics, Graph Theory, Statistics

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      I

      Institut Mines-Télécom

      Traitement d'images : introduction au filtrage

      Skills you'll gain: Image Analysis, Computer Vision, Computer Graphics, Python Programming, Computer Programming, Medical Imaging, Mathematical Theory & Analysis, Plot (Graphics), Applied Mathematics, Probability & Statistics

      Intermediate · Course · 1 - 3 Months

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    1…454647…51

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

    • Introduction to Neural Networks: Johns Hopkins University
    • Global Climate Change Policies and Analysis : University of Colorado Boulder
    • Design Strategies for Maximizing Total Data Quality: University of Michigan
    • Introduction to Data Science: Ball State University
    • Bayesian Statistics: Capstone Project: University of California, Santa Cruz
    • Applied AI for Engineers and Scientists: Foundations: University of Glasgow
    • Requirement Specifications for Autonomous Systems: University of Colorado Boulder
    • Muestreo de personas, redes y registros: University of Michigan
    • Modeling Climate Anomalies with Statistical Analysis: University of Colorado Boulder
    • Spacecraft Relative Motion Control: University of Colorado Boulder

    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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