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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

    • 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

    • 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

    • Status: New
      New
      U

      University of Michigan

      Statistics with Python Using NumPy, Pandas, and SciPy

      Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Probability & Statistics, NumPy, Statistical Methods, Probability, Statistics, Probability Distribution, Statistical Analysis, Data Analysis, Histogram, Scatter Plots, Regression Analysis, Pandas (Python Package), Linear Algebra

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Leeds

      Introduction to Technology-Assisted Decision-Making

      Skills you'll gain: Resource Allocation, Operations Research, Production Planning, Graph Theory, Data-Driven Decision-Making, Decision Making, Mathematical Modeling, Process Optimization, Network Planning And Design, Complex Problem Solving, Algorithms, Linear Algebra

      Beginner · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      Сверточные нейронные сети

      Skills you'll gain: Image Analysis, Computer Vision, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Visualization (Computer Graphics), Network Architecture

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      P

      Pontificia Universidad Católica de Chile

      Fundamentos de sistemas recomendadores

      Skills you'll gain: AI Personalization, Machine Learning Algorithms, Machine Learning Software, Machine Learning, Predictive Modeling, Statistical Machine Learning, Dimensionality Reduction, Analysis, Linear Algebra, Content Management, Text Mining

      Intermediate · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      Réseaux neuronaux convolutifs

      Skills you'll gain: Computer Vision, Keras (Neural Network Library), Image Analysis, Deep Learning, Artificial Neural Networks, Tensorflow, Dimensionality Reduction, Applied Machine Learning, Network Architecture, Algorithms

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado System

      Linear Kalman Filter Deep Dive (and Target Tracking)

      Skills you'll gain: Advanced Mathematics, Mathematical Modeling, Systems Of Measurement, Linear Algebra, Statistical Methods, Predictive Analytics, Predictive Modeling, Applied Mathematics, Time Series Analysis and Forecasting, Probability & Statistics

      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

    • N

      Northeastern University

      Industrial Optimization: Models & Linear Programming

      Skills you'll gain: Operations Research, Applied Mathematics, Mathematical Software, Linear Algebra, Mathematical Modeling, Algorithms, Process Optimization, Business Modeling, Complex Problem Solving, Data Analysis Software

      Intermediate · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Data Science Decisions in Time: Using Causal Information

      Skills you'll gain: Precision Medicine, Clinical Trials, Data Analysis, Data-Driven Decision-Making, Analytics, Decision Tree Learning, Business Analytics, Data Science, Strategic Decision-Making, Regression Analysis, Random Forest Algorithm, Medical Science and Research, Treatment Planning, Personalized Service, A/B Testing, Machine Learning, Online Advertising

      Intermediate · Course · 1 - 3 Months

    • U

      University of Glasgow

      Computational Thinking with JavaScript 2: Model & Analyse

      Skills you'll gain: JSON, Data Structures, Computational Thinking, Data Analysis, Data Visualization Software, Scripting Languages, Scripting, Javascript, Data Processing, Unsupervised Learning, Data Science, Data Modeling, Machine Learning, Programming Principles, Algorithms

      Beginner · Course · 1 - 4 Weeks

    1…293031…32

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

    • Requirement Specifications for Autonomous Systems: University of Colorado Boulder
    • Introduction to Neural Networks: Johns Hopkins University
    • Statistics with Python Using NumPy, Pandas, and SciPy: University of Michigan
    • Introduction to Technology-Assisted Decision-Making: University of Leeds
    • Сверточные нейронные сети: DeepLearning.AI
    • Fundamentos de sistemas recomendadores: Pontificia Universidad Católica de Chile
    • Réseaux neuronaux convolutifs: DeepLearning.AI
    • Linear Kalman Filter Deep Dive (and Target Tracking): University of Colorado System
    • Spacecraft Relative Motion Control: University of Colorado Boulder
    • Industrial Optimization: Models & Linear Programming: Northeastern University

    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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