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    • Abstract Algebra

    Abstract Algebra Courses Online

    Understand abstract algebra for advanced mathematical and computational applications. Study groups, rings, and fields.

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    Explore the Abstract Algebra Course Catalog

    • E

      EIT Digital

      Approximation Algorithms

      Skills you'll gain: Algorithms, Graph Theory, Computational Thinking, Applied Mathematics, Theoretical Computer Science, Linear Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      33 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: Enterprise Model Deployment

      Skills you'll gain: Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), PySpark, IBM Cloud, Jupyter, Machine Learning, Containerization, Python Programming, Performance Tuning, Scalability, Design Thinking

      4.2
      Rating, 4.2 out of 5 stars
      ·
      55 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Physics of Oscillators and Waves

      Skills you'll gain: Mechanics, Physics, Vibrations, Advanced Mathematics, Mathematical Modeling, Differential Equations, Calculus, Trigonometry, Applied Mathematics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      Università di Napoli Federico II

      Comparative Research Designs and Methods

      Skills you'll gain: Research Methodologies, Science and Research, Qualitative Research, Research Design, Research, Social Sciences, Statistical Analysis, Political Sciences

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 3 Months

    • E

      EIT Digital

      Automated Reasoning: satisfiability

      Skills you'll gain: Computational Logic, Deductive Reasoning, Combinatorics, Logical Reasoning, Computational Thinking, Mathematical Modeling, Operations Research, Theoretical Computer Science, Applied Mathematics, Algorithms, Linear Algebra, Verification And Validation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      44 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Introduction to Computer Vision

      Skills you'll gain: Image Analysis, Computer Vision, Computer Graphics, Deep Learning, Data Ethics, Computational Thinking, Artificial Intelligence, Data Processing, Linear Algebra, Probability Distribution

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      U

      Università di Napoli Federico II

      English Pre Advanced B2.2

      Skills you'll gain: English Language, Grammar, Vocabulary, Journalism, Communication, Cultural Diversity

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Calculus through Data & Modeling: Applying Differentiation

      Skills you'll gain: Applied Mathematics, Estimation, Numerical Analysis, Calculus, Cost Estimation, Mathematical Modeling, Operations Research, Derivatives, Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      54 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Quantum Computing with Qiskit and Advanced Algorithms

      Skills you'll gain: Algorithms, IBM Cloud, Python Programming, Theoretical Computer Science, Artificial Intelligence and Machine Learning (AI/ML), Computer Programming, Computational Thinking, Jupyter, Emerging Technologies, Linear Algebra, Simulations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Advanced Data Structures and Algorithms

      Skills you'll gain: Data Structures, Algorithms, Programming Principles, Computer Programming, Computational Thinking, Performance Tuning

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Advanced Ruby Programming and Object-Oriented Design

      Skills you'll gain: Object Oriented Design, Ruby (Programming Language), Object Oriented Programming (OOP), Software Design, Unit Testing, Test Tools, File Management, Software Testing, Development Testing, Data Structures, Debugging

      Advanced · Course · 3 - 6 Months

    • Status: New
      New
      K

      Korea Advanced Institute of Science and Technology(KAIST)

      Applied Math for Materials Science and Engineering

      Skills you'll gain: Integral Calculus, Calculus, Engineering Calculations, Advanced Mathematics, Applied Mathematics, Mathematical Theory & Analysis, Engineering Analysis, General Mathematics, Mathematical Modeling, Differential Equations, Derivatives

      Intermediate · Course · 1 - 4 Weeks

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    In summary, here are 10 of our most popular abstract algebra courses

    • Approximation Algorithms: EIT Digital
    • AI Workflow: Enterprise Model Deployment: IBM
    • Physics of Oscillators and Waves: Rice University
    • Comparative Research Designs and Methods: Università di Napoli Federico II
    • Automated Reasoning: satisfiability: EIT Digital
    • Introduction to Computer Vision: University of Colorado Boulder
    • English Pre Advanced B2.2: Università di Napoli Federico II
    • Calculus through Data & Modeling: Applying Differentiation: Johns Hopkins University
    • Quantum Computing with Qiskit and Advanced Algorithms: Packt
    • Advanced Data Structures and Algorithms: Packt

    Skills you can learn in Probability And Statistics

    R Programming (19)
    Inference (16)
    Linear Regression (12)
    Statistical Analysis (12)
    Statistical Inference (11)
    Regression Analysis (10)
    Biostatistics (9)
    Bayesian (7)
    Logistic Regression (7)
    Probability Distribution (7)
    Bayesian Statistics (6)
    Medical Statistics (6)

    Frequently Asked Questions about Abstract Algebra

    Abstract Algebra courses on Coursera teach critical mathematical skills and concepts that are foundational in higher mathematics:

    • Understanding and working with algebraic structures such as groups, rings, and fields.
    • Developing skills in reasoning and logical thinking through proofs and problem-solving.
    • Techniques for solving polynomial equations and analyzing their structures.
    • Application of algebraic theories to other areas of mathematics like number theory and geometry.
    • Exploration of symmetry, transformation, and their mathematical implications.‎

    Abstract Algebra courses are generally suited for those with some mathematical background:

    • Beginners in the realm of advanced mathematics might need introductory courses in linear algebra or calculus before starting Abstract Algebra.
    • Intermediate learners who have a basic understanding of college-level mathematics can begin exploring fundamental concepts in Abstract Algebra.
    • Advanced students or professionals who already have experience in mathematics can dive into more complex topics and applications within the field.

    These courses are structured to help learners of varying levels gain a deep understanding of algebraic structures and their applications.‎

    Completing Abstract Algebra courses on Coursera can lead to various academic and professional enhancements:

    • Certificates of completion that demonstrate your understanding of complex mathematical concepts.
    • Professional certificates that can be integral to academic progression or careers in mathematics, science, or engineering.
    • Specializations that focus deeply on specific aspects of Abstract Algebra or its applications in other scientific disciplines.

    These credentials can be particularly valuable for students pursuing graduate studies or professionals in scientific and technological fields where advanced mathematics is crucial. ‎

    Skills acquired from Abstract Algebra courses are highly valued in numerous advanced academic and research-oriented careers:

    • Academic careers in mathematics, where you can contribute to teaching and advanced research.
    • Roles in cryptography and security analysis, where algebraic concepts are applied to develop new encryption methods.
    • Computational sciences, including algorithm design and software development, where abstract algebraic principles are increasingly employed.
    • Engineering fields, particularly those that involve signal processing, control theory, and robotics, which use algebraic structures to model complex systems.
    • Financial sectors that utilize algebra for quantitative analysis and financial modeling.

    Skills in Abstract Algebra can significantly enhance your analytical capabilities, opening up opportunities in fields that rely on high-level mathematics. ‎

    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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