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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

    • U

      University of London

      International Foundation Programme for Computer Science (IFP)

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of London

      Bachelor of Science in Computer Science

      Skills you'll gain: Virtual Reality, Human Computer Interaction, Full-Stack Web Development, Data Visualization, React Native, Agile Software Development, Data Ethics, Git (Version Control System), Event-Driven Programming, Network Security, Web Applications, Computer Graphics, Data Science, Natural Language Processing, Unsupervised Learning, Combinatorics, Database Design, Web Development, Generative AI, Usability Testing

      Earn a degree

      Degree · 1 - 4 Years

    • I

      Imperial College London

      Master of Science in Machine Learning and Data Science

      Skills you'll gain: Supervised Learning, Data Ethics, Unsupervised Learning, Exploratory Data Analysis, PySpark, Bayesian Statistics, Data Pipelines, Ggplot2, Dimensionality Reduction, Linear Algebra, Data Processing, Big Data, Anomaly Detection, Data Analysis, Data Visualization, A/B Testing, Deep Learning, Unstructured Data, Applied Machine Learning, Learning Strategies

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of Leeds

      Master of Science in Data Science (Statistics)

      Skills you'll gain: Data Ethics, Regression Analysis, Unsupervised Learning, Statistical Hypothesis Testing, Correlation Analysis, Statistical Machine Learning, Data Visualization, Statistical Methods, Classification And Regression Tree (CART), Exploratory Data Analysis, Planning, Applied Machine Learning, Machine Learning Methods, Data Visualization Software, Bayesian Statistics, Dimensionality Reduction, Supervised Learning, Box Plots, Statistical Modeling, Data Analysis

      Earn a degree

      Degree · 1 - 4 Years

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    In summary, here are 4 of our most popular mathematics courses

    • International Foundation Programme for Computer Science (IFP): University of London
    • Bachelor of Science in Computer Science: University of London
    • Master of Science in Machine Learning and Data Science: Imperial College London
    • Master of Science in Data Science (Statistics): University of Leeds

    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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