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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


  • I

    Imperial College London

    Mathematics for Machine Learning: Linear Algebra

    Skills you'll gain: Linear Algebra, Applied Mathematics, Jupyter, Data Science, Data Manipulation, Data Transformation, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    13K reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Pittsburgh

    Linear Algebra and Regression Fundamentals for Data Science

    Skills you'll gain: NumPy, Matplotlib, Plot (Graphics), Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Python Programming, Data Analysis, Data Science, Mathematical Software, Regression Analysis, Data Visualization Software, Mathematics and Mathematical Modeling, Probability & Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning

    Build toward a degree

    3.9
    Rating, 3.9 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    Universitat Politècnica de València

    Bases matemáticas: Álgebra

    Skills you'll gain: Linear Algebra, Algebra, Applied Mathematics

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Data Science with Python

    Skills you'll gain: Plotly, PyTorch (Machine Learning Library), NumPy, Matplotlib, Pandas (Python Package), Plot (Graphics), Data Visualization Software, Interactive Data Visualization, Machine Learning Methods, Python Programming, Applied Machine Learning, Scatter Plots, Numerical Analysis, Data Manipulation, Deep Learning, Image Analysis, Linear Algebra, Data Wrangling

    Intermediate · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Honors Algebra 2: Polynomials and Complex Numbers

    Skills you'll gain: Mathematical Modeling, Advanced Mathematics, Mathematical Theory & Analysis, Applied Mathematics, Algebra, Arithmetic, Graphing, Engineering Calculations

    Beginner · Course · 1 - 4 Weeks

  • U

    Universidad Autónoma Metropolitana

    Geometría Analítica Preuniversitaria

    Skills you'll gain: Graphing, Geometry, General Mathematics, Algebra, Applied Mathematics

    4.2
    Rating, 4.2 out of 5 stars
    ·
    15 reviews

    Intermediate · Course · 1 - 3 Months

  • Y

    Yale University

    Introduction to Psychology

    Skills you'll gain: Psychology, Mental Health Diseases and Disorders, Child Development, Human Development, Human Learning, Psychological Evaluations, Psychotherapy, Social Sciences, Cognitive Behavioral Therapy, Learning Theory, Sensory Systems Analysis, Scientific Methods, Critical Thinking, Problem Solving

    4.9
    Rating, 4.9 out of 5 stars
    ·
    33K reviews

    Beginner · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Algebra: Elementary to Advanced - Functions & Applications

    Skills you'll gain: Mathematical Modeling, Graphing, Algebra, Applied Mathematics, Arithmetic

    4.8
    Rating, 4.8 out of 5 stars
    ·
    197 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Top AI Program
    Top AI Program
    D

    DeepLearning.AI

    Mathematics for Machine Learning and Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Statistical Methods, Probability Distribution, Linear Algebra, Statistical Inference, Model Optimization, Machine Learning Methods, Statistics, Applied Mathematics, Probability, Calculus, Dimensionality Reduction, Applied Machine Learning, Mathematical Software, Data Transformation, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.2K reviews

    Intermediate · Specialization · 1 - 3 Months

  • S

    Simplilearn

    Linear Algebra for ML and Analytics Training

    Skills you'll gain: Mathematical Modeling, Linear Algebra, Dimensionality Reduction, Applied Mathematics, Data Analysis, Analytical Skills, Feature Engineering, Applied Machine Learning, Data Science

    Beginner · Course · 1 - 4 Weeks

  • E

    Erasmus University Rotterdam

    Econometrics: Methods and Applications

    Skills you'll gain: Econometrics, Time Series Analysis and Forecasting, Regression Analysis, Logistic Regression, Statistical Methods, Data Analysis, Economics, Trend Analysis, Statistical Analysis, Statistical Modeling, Statistics, Predictive Analytics, Case Studies, Forecasting, Statistical Inference, Estimation, Model Evaluation, Statistical Hypothesis Testing, Probability, Linear Algebra

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.2K reviews

    Mixed · Course · 1 - 3 Months

  • U

    University of Colorado System

    Mathematical Foundations for Cryptography

    Skills you'll gain: Cryptography, Arithmetic, Algorithms, Applied Mathematics, Probability, Computer Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    334 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Mathematics for Machine Learning: Linear Algebra: Imperial College London
  • Linear Algebra and Regression Fundamentals for Data Science: University of Pittsburgh
  • Bases matemáticas: Álgebra: Universitat Politècnica de València
  • Data Science with Python: Packt
  • Honors Algebra 2: Polynomials and Complex Numbers: Johns Hopkins University
  • Geometría Analítica Preuniversitaria: Universidad Autónoma Metropolitana
  • Introduction to Psychology : Yale University
  • Algebra: Elementary to Advanced - Functions & Applications: Johns Hopkins University
  • Mathematics for Machine Learning and Data Science: DeepLearning.AI
  • Linear Algebra for ML and Analytics Training: Simplilearn

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