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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

    • I

      Illinois Tech

      Variable Selection, Model Validation, Nonlinear Regression

      Skills you'll gain: Statistical Inference, Statistical Methods, Statistical Analysis, Regression Analysis, Statistical Modeling, R Programming, Probability & Statistics, Advanced Analytics, Predictive Modeling, Mathematical Modeling, Data Validation, Probability

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Managing, Describing, and Analyzing Data

      Skills you'll gain: Sampling (Statistics), Statistical Inference, Probability Distribution, R Programming, Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Statistical Software, Statistics, Data Analysis, Statistical Analysis, Probability, Statistical Visualization, Data Manipulation, Histogram

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      33 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Spacecraft Relative Motion Kinematics and Kinetics

      Skills you'll gain: Mechanics, Differential Equations, Mathematical Modeling, Advanced Mathematics, Linear Algebra, Engineering Calculations, Simulations, Applied Mathematics, Physics, Calculus

      5
      Rating, 5 out of 5 stars
      ·
      7 reviews

      Advanced · Course · 1 - 4 Weeks

    • P

      Packt

      Deep Learning with Real-World Projects

      Skills you'll gain: Matplotlib, Data Visualization, Deep Learning, Linear Algebra, Artificial Neural Networks, NumPy, Image Analysis, Keras (Neural Network Library), Seaborn, Pandas (Python Package), Tensorflow, Machine Learning, Applied Machine Learning, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Scikit Learn (Machine Learning Library), Supervised Learning, Python Programming, Jupyter, Machine Learning Methods

      Beginner · Specialization · 3 - 6 Months

    • 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

    • Status: Free
      Free
      C

      Coursera Project Network

      Building Students Math Skills with iKnowit

      Skills you'll gain: Mathematics Education, Education Software and Technology, User Accounts

      4.8
      Rating, 4.8 out of 5 stars
      ·
      41 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • J

      Johns Hopkins University

      Fundamentals of Scientific Research Under Uncertainty

      Skills you'll gain: Science and Research, Scientific Methods, Research, General Science and Research, Critical Thinking, Probability, Research Design, Probability & Statistics, Bayesian Statistics, Research Methodologies, Decision Making

      4.9
      Rating, 4.9 out of 5 stars
      ·
      34 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Ethical Issues in Data Science

      Skills you'll gain: Data Ethics, Healthcare Ethics, Ethical Standards And Conduct, Data Security, Data Science, Medical Privacy, Machine Learning Algorithms, Algorithms, Information Privacy, Artificial Intelligence, Diversity Awareness, Cybersecurity, Emerging Technologies

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      41 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Advanced Spacecraft Dynamics and Control

      Skills you'll gain: Vibrations, Control Systems, Mechanics, Torque (Physics), Engineering Analysis, Finite Element Methods, Mechanical Engineering, Simulations, Angular, Engineering Calculations, Differential Equations, Mathematical Modeling, Applied Mathematics, Simulation and Simulation Software, Linear Algebra, Calculus

      4.8
      Rating, 4.8 out of 5 stars
      ·
      14 reviews

      Advanced · Specialization · 1 - 3 Months

    • K

      Korea Advanced Institute of Science and Technology(KAIST)

      Particle Dynamics

      Skills you'll gain: Mechanics, Mechanical Engineering, Engineering Analysis, Physics, Engineering Calculations, Differential Equations, Integral Calculus, Calculus, Mathematical Modeling, Applied Mathematics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      33 reviews

      Intermediate · Course · 3 - 6 Months

    • R

      Rice University

      Physics 102 - Magnetic Fields and Faraday's Law

      Skills you'll gain: Torque (Physics), Physics, Electrical Engineering, Basic Electrical Systems, Applied Mathematics, Engineering Calculations, Mechanics, Calculus, Engineering Analysis, Trigonometry

      4.8
      Rating, 4.8 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Theory of Angular Momentum

      Skills you'll gain: Linear Algebra, Physics, Mathematical Modeling, Applied Mathematics

      4.1
      Rating, 4.1 out of 5 stars
      ·
      20 reviews

      Intermediate · Course · 1 - 4 Weeks

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    1…394041…51

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

    • Variable Selection, Model Validation, Nonlinear Regression: Illinois Tech
    • Managing, Describing, and Analyzing Data: University of Colorado Boulder
    • Spacecraft Relative Motion Kinematics and Kinetics: University of Colorado Boulder
    • Deep Learning with Real-World Projects: Packt
    • Geometric Algorithms: EIT Digital
    • Building Students Math Skills with iKnowit: Coursera Project Network
    • Fundamentals of Scientific Research Under Uncertainty: Johns Hopkins University
    • Ethical Issues in Data Science: University of Colorado Boulder
    • Advanced Spacecraft Dynamics and Control: University of Colorado Boulder
    • Particle Dynamics: Korea Advanced Institute of Science and Technology(KAIST)

    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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