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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

    • D

      DeepLearning.AI

      Linear Algebra for Machine Learning and Data Science

      Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Jupyter, Data Manipulation, Data Science, Machine Learning Algorithms, Applied Mathematics, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Differential Calculus through Data and Modeling

      Skills you'll gain: Calculus, Applied Mathematics, Data Modeling, Estimation, Graphing, Mathematical Modeling, Data Analysis Software, Algebra, Trigonometry, Cost Estimation, Engineering Calculations, Linear Algebra, Data Analysis, Advanced Mathematics, Analysis, Derivatives, Mathematical Theory & Analysis, Geometry

      4.8
      Rating, 4.8 out of 5 stars
      ·
      344 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      U

      University of Pennsylvania

      Calculus: Single Variable Part 1 - Functions

      Skills you'll gain: Calculus, Integral Calculus, Mathematical Theory & Analysis, Algebra, Advanced Mathematics, Applied Mathematics, Derivatives

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.3K reviews

      Mixed · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Precalculus through Data and Modelling

      Skills you'll gain: Data Analysis, Applied Mathematics, Mathematical Modeling, Graphing, Trigonometry, Analytical Skills, R Programming, Data Modeling, Statistics, Algebra, Correlation Analysis, Regression Analysis, Systems Of Measurement, Geometry

      4.7
      Rating, 4.7 out of 5 stars
      ·
      302 reviews

      Beginner · Specialization · 3 - 6 Months

    • N

      Northwestern University

      Modern Robotics: Mechanics, Planning, and Control

      Skills you'll gain: Machine Controls, Mathematical Modeling, Engineering Calculations, Engineering, Mechanics, Mechanical Engineering, Artificial Intelligence, Embedded Software, Engineering Analysis, Automation, Numerical Analysis, Manufacturing and Production, Process Control, Simulation and Simulation Software, Virtual Environment, Graph Theory, Torque (Physics), Algorithms, Simulations, Matlab

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      Expressway to Data Science: Essential Math

      Skills you'll gain: Linear Algebra, Integral Calculus, Algebra, Numerical Analysis, Calculus, Graphing, Applied Mathematics, Data Science, Data Analysis, Statistical Methods, Probability & Statistics, Derivatives, Mathematical Theory & Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      431 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Pennsylvania

      Fundamentals of Quantitative Modeling

      Skills you'll gain: Mathematical Modeling, Statistical Modeling, Regression Analysis, Business Modeling, Financial Modeling, Business Mathematics, Predictive Modeling, Probability, Operations Research, Business Process Modeling, Business Risk Management, Statistical Analysis, Probability Distribution, Simulation and Simulation Software

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9.1K reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of California San Diego

      Data Structures and Algorithms

      Skills you'll gain: Data Structures, Graph Theory, Algorithms, Debugging, Network Model, Bioinformatics, Advanced Mathematics, Operations Research, Data Storage, Development Testing, Software Testing, Theoretical Computer Science, Computational Thinking, Network Analysis, Programming Principles, Computer Programming, Network Routing, Epidemiology, C++ (Programming Language), Infectious Diseases

      4.6
      Rating, 4.6 out of 5 stars
      ·
      17K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      P

      Peking University

      离散数学概论 Discrete Mathematics Generality

      Skills you'll gain: Theoretical Computer Science, Computational Logic, Graph Theory, Logical Reasoning, Computational Thinking, Spatial Analysis, Deductive Reasoning, Network Analysis, Algebra, Information Technology, Computer Science, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      278 reviews

      Beginner · Course · 3 - 6 Months

    • D

      Duke University

      Introduction to Logic and Critical Thinking

      Skills you'll gain: Deductive Reasoning, Logical Reasoning, Computational Logic, Probability, Sampling (Statistics), Persuasive Communication, Research, Writing, Statistical Inference, Correlation Analysis, Scientific Methods, Interpersonal Communications, Interactive Learning, Learning Strategies

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • S

      Stanford University

      Algorithms

      Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Theoretical Computer Science, Computational Thinking, Network Analysis, Network Routing, Mathematical Theory & Analysis, Analysis, Probability, Design Strategies, Computer Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.9K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of London

      Introduction to Computer Science and Programming

      Skills you'll gain: Computer Science, Debugging, Development Environment, Computer Systems, Web Applications, Arithmetic, Javascript, Computer Networking, Computational Thinking, Visualization (Computer Graphics), Usability, Program Development, JavaScript Frameworks, Cybersecurity, Computer Programming, Graphical Tools, Computer Graphics, Computational Logic, General Mathematics, Applied Mathematics

      4.2
      Rating, 4.2 out of 5 stars
      ·
      1.5K reviews

      Beginner · Specialization · 3 - 6 Months

    Mathematics learners also search

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    1234…56

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

    • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
    • Differential Calculus through Data and Modeling: Johns Hopkins University
    • Calculus: Single Variable Part 1 - Functions: University of Pennsylvania
    • Precalculus through Data and Modelling: Johns Hopkins University
    • Modern Robotics: Mechanics, Planning, and Control: Northwestern University
    • Expressway to Data Science: Essential Math: University of Colorado Boulder
    • Fundamentals of Quantitative Modeling: University of Pennsylvania
    • Data Structures and Algorithms: University of California San Diego
    • 离散数学概论 Discrete Mathematics Generality: Peking University
    • Introduction to Logic and Critical Thinking: Duke University

    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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