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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


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    T

    The University of Sydney

    Introduction to Calculus

    Skills you'll gain: Calculus, Integral Calculus, Algebra, Advanced Mathematics, Geometry, Engineering Calculations, Trigonometry, Arithmetic, Derivatives, Mathematical Modeling, Graphing, Estimation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    J

    Johns Hopkins University

    Honors Algebra 2: Linear and Quadratic Functions

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

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    J

    Johns Hopkins University

    Honors Algebra 2: Algebraic, Exponential & Log Functions

    Skills you'll gain: Algebra, Applied Mathematics, Graphing, Mathematical Modeling, Advanced Mathematics, Calculus, Data Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    U

    University of Colorado Boulder

    Introduction to Machine Learning: Unsupervised Learning

    Skills you'll gain: Feature Engineering, AI Personalization, Statistical Methods, Linear Algebra

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Statistics for Data Science

    Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, Probability Distribution, R Programming, Biostatistics, Data Science, Statistics, Mathematical Modeling, Data Analysis, Data Modeling, Applied Mathematics

    4.4
    Rating, 4.4 out of 5 stars
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    786 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
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    É

    École Polytechnique Fédérale de Lausanne

    Digital Signal Processing 1: Basic Concepts and Algorithms

    Skills you'll gain: Digital Signal Processing, Electrical Engineering, Communication Systems, Programming Principles, Electronics, Telecommunications, Algorithms, Linear Algebra, Time Series Analysis and Forecasting, Mathematical Modeling

    4.5
    Rating, 4.5 out of 5 stars
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    637 reviews

    Intermediate · 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, General Mathematics, Applied Mathematics, Analytical Skills, Mathematical Modeling, Geometry, Graphing

    4.9
    Rating, 4.9 out of 5 stars
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    169 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    H

    Howard University

    Fundamental Linear Algebra Concepts with Python

    Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Algebra, Python Programming, Data Manipulation

    4.5
    Rating, 4.5 out of 5 stars
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    18 reviews

    Mixed · Course · 1 - 4 Weeks

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    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, Applied Mathematics, Deep Learning, Machine Learning, Supervised Learning, Mathematical Modeling

    4.4
    Rating, 4.4 out of 5 stars
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    33 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    L

    L&T EduTech

    Fundamentals of Digital Design for VLSI Chip Design

    Skills you'll gain: Field-Programmable Gate Array (FPGA), Application Specific Integrated Circuits, Computational Logic, Computer Architecture, Hardware Design, Electronic Hardware, Electronics Engineering, Electronics, Theoretical Computer Science, Programmable Logic Controllers, Microarchitecture, Electronic Systems, Semiconductors, Electronic Components, Data Storage, Data Storage Technologies

    4.5
    Rating, 4.5 out of 5 stars
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    125 reviews

    Intermediate · Course · 1 - 4 Weeks

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    U

    Universitat Politècnica de València

    Bases matemáticas: Álgebra

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

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    U

    University of Pennsylvania

    Calculus: Single Variable Part 1 - Functions

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

    4.7
    Rating, 4.7 out of 5 stars
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    2.4K reviews

    Mixed · Course · 1 - 4 Weeks

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

  • Introduction to Calculus: The University of Sydney
  • Honors Algebra 2: Linear and Quadratic Functions: Johns Hopkins University
  • Honors Algebra 2: Algebraic, Exponential & Log Functions: Johns Hopkins University
  • Introduction to Machine Learning: Unsupervised Learning: University of Colorado Boulder
  • Advanced Statistics for Data Science: Johns Hopkins University
  • Digital Signal Processing 1: Basic Concepts and Algorithms: École Polytechnique Fédérale de Lausanne
  • Algebra: Elementary to Advanced - Polynomials and Roots: Johns Hopkins University
  • Fundamental Linear Algebra Concepts with Python: Howard University
  • Math for AI beginner part 1 Linear Algebra: Korea Advanced Institute of Science and Technology(KAIST)
  • Fundamentals of Digital Design for VLSI Chip Design: L&T EduTech

Skills you can learn in Probability And Statistics

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

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