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  • Abstract Algebra

Abstract Algebra Courses

Abstract Algebra courses can help you learn group theory, ring theory, field theory, and the structure of mathematical systems. You can build skills in problem-solving, logical reasoning, and abstract thinking, which are crucial for tackling complex mathematical challenges. Many courses introduce tools like computational software for algebraic calculations and visualization techniques that aid in understanding algebraic structures and their applications in cryptography, coding theory, and computer science.


Popular Abstract Algebra Courses and Certifications


  • Status: Preview
    Preview
    U

    Universitat Politècnica de València

    Basic Math: Derivatives

    Skills you'll gain: Calculus, Advanced Mathematics, Algebra, Derivatives, Applied Mathematics, Trigonometry, Geometry

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    B

    Birla Institute of Technology & Science, Pilani

    Linear Algebra for Machine Learning & AI

    Skills you'll gain: Linear Algebra, Numerical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Applied Mathematics, AI Enablement, Mathematics and Mathematical Modeling, Data Analysis, Machine Learning, Dimensionality Reduction, Model Optimization, Artificial Neural Networks

    Build toward a degree

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Algebra: Elementary to Advanced - Equations & Inequalities

    Skills you'll gain: Algebra, Arithmetic, Mathematical Modeling, Applied Mathematics, Advanced Mathematics, Graphing, Probability & Statistics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    648 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of London

    Applied Mathematical Methods for Computing

    Skills you'll gain: Combinatorics, Probability & Statistics, Data Analysis, Advanced Mathematics, Linear Algebra, Mathematics and Mathematical Modeling, Mathematical Theory & Analysis, Geometry, Applied Mathematics, Statistics, Statistical Analysis, Statistical Methods, Probability, Algorithms, Algebra, Descriptive Statistics

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning

    Skills you'll gain: Dimensionality Reduction, Linear Algebra, Regression Analysis, NumPy, Calculus, Unsupervised Learning, Applied Mathematics, Statistical Methods, Descriptive Statistics, Model Optimization, Mathematical Software, Jupyter, Statistics, Numerical Analysis, Applied Machine Learning, Geometry, Artificial Neural Networks, Data Science, Data Manipulation, Data Transformation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    15K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
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    U

    Universidad Nacional Autónoma de México

    Funciones algebraicas y trascendentes

    Skills you'll gain: Algebra, Mathematical Software, Trigonometry, Mathematical Modeling, Graphing, Geometry, Arithmetic, Calculus

    4.5
    Rating, 4.5 out of 5 stars
    ·
    139 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Linear Algebra: Linear Systems and Matrix Equations

    Skills you'll gain: Linear Algebra, Algebra, Advanced Mathematics, Engineering Analysis, Applied Mathematics, Mathematical Theory & Analysis, Geometry

    4.7
    Rating, 4.7 out of 5 stars
    ·
    175 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    K

    Korea Advanced Institute of Science and Technology(KAIST)

    Math for AI beginner part 1 Linear Algebra

    Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Mathematics, Deep Learning, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    33 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors

    Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Geometry, Applied Machine Learning, Markov Model

    4.8
    Rating, 4.8 out of 5 stars
    ·
    78 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Honors Algebra 2: Series, Trigonometry, and Probability

    Skills you'll gain: Trigonometry, Probability, Data Analysis, Probability & Statistics, Data Literacy, Statistical Analysis, Algebra, Probability Distribution, Descriptive Statistics, Mathematical Modeling, Graphing, Applied Mathematics, Statistics, Arithmetic

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Algebra: Elementary to Advanced - Polynomials and Roots

    Skills you'll gain: Algebra, Advanced Mathematics, Applied Mathematics, Arithmetic, Deductive Reasoning, Analytical Skills, Mathematical Modeling, Geometry, Graphing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    174 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Honors Algebra 2: Linear and Quadratic Functions

    Skills you'll gain: Algebra, Graphing, Advanced Mathematics, Logical Reasoning, Applied Mathematics, Mathematical Modeling, Visualization (Computer Graphics), Correlation Analysis, Predictive Modeling

    Beginner · Course · 1 - 4 Weeks

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

  • Basic Math: Derivatives: Universitat Politècnica de València
  • Linear Algebra for Machine Learning & AI: Birla Institute of Technology & Science, Pilani
  • Algebra: Elementary to Advanced - Equations & Inequalities: Johns Hopkins University
  • Applied Mathematical Methods for Computing: University of London
  • Mathematics for Machine Learning: Imperial College London
  • Funciones algebraicas y trascendentes : Universidad Nacional Autónoma de México
  • Linear Algebra: Linear Systems and Matrix Equations: Johns Hopkins University
  • Math for AI beginner part 1 Linear Algebra: Korea Advanced Institute of Science and Technology(KAIST)
  • Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors: Johns Hopkins University
  • Honors Algebra 2: Series, Trigonometry, and Probability: Johns Hopkins University

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