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Algebra Courses

Algebra courses can help you learn solving equations, working with inequalities, and understanding functions and their graphs. You can build skills in manipulating algebraic expressions, factoring polynomials, and applying algebraic concepts to real-life problems. Many courses introduce tools like graphing calculators and software for visualizing functions, which enhance your ability to analyze data and model relationships.


Popular Algebra Courses and Certifications


  • U

    University of London

    Logic and Reasoning for Computing

    Skills you'll gain: Computational Logic, Logical Reasoning, Deductive Reasoning, Theoretical Computer Science, Computer Science, Critical Thinking, Computational Thinking, Business Logic, Algorithms, Mathematical Modeling, Problem Solving, Strategic Communication

    Intermediate · Course · 1 - 4 Weeks

  • T

    The Hong Kong University of Science and Technology

    Numerical Methods for Engineers

    Skills you'll gain: Matlab, Engineering Calculations, Numerical Analysis, Mathematical Software, Engineering Analysis, Linear Algebra, Differential Equations, Applied Mathematics, Mathematical Modeling, Simulation and Simulation Software, Computational Thinking, Estimation, Integral Calculus, Scripting, Simulations, Calculus, Scientific Visualization, Programming Principles, Plot (Graphics), Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    425 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Expressway to Data Science: Essential Math

    Skills you'll gain: Linear Algebra, Integral Calculus, Algebra, Numerical Analysis, Calculus, Graphing, Applied Mathematics, Data Science, Mathematical Theory & Analysis, Data Analysis, Statistical Methods, Derivatives

    4.5
    Rating, 4.5 out of 5 stars
    ·
    478 reviews

    Intermediate · Specialization · 3 - 6 Months

  • S

    Simplilearn

    Linear Algebra for ML and Analytics Training

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

    Beginner · Course · 1 - 4 Weeks

  • K

    Koç University

    Doğrusal Cebir I: Uzaylar ve İşlemciler / Linear Algebra I: Spaces and Operators

    Skills you'll gain: Linear Algebra, Geometry, Algebra, Calculus, Mathematical Theory & Analysis, Advanced Mathematics, Differential Equations, Mathematical Modeling

    4.1
    Rating, 4.1 out of 5 stars
    ·
    43 reviews

    Mixed · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Foundational Mathematics for AI

    Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Artificial Intelligence, Probability, Regression Analysis, Calculus, Statistical Analysis, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Statistical Modeling, Machine Learning Algorithms, Dimensionality Reduction

    4.9
    Rating, 4.9 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 3 Months

  • B

    Birla Institute of Technology & Science, Pilani

    Mathematics for Engineering

    Skills you'll gain: Data Analysis, Computational Logic, Engineering Calculations, Trigonometry, Linear Algebra, Engineering Analysis, Logical Reasoning, Deductive Reasoning, Probability & Statistics, Statistical Analysis, Calculus, Analytical Skills, Bayesian Statistics, Differential Equations, Programming Principles, Statistical Inference, Theoretical Computer Science, Numerical Analysis, Descriptive Analytics, Applied Mathematics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    194 reviews

    Beginner · Specialization · 3 - 6 Months

  • S

    Stanford University

    Introduction to Logic

    Skills you'll gain: Logical Reasoning, Computational Logic, Deductive Reasoning, Computational Thinking, Problem Solving, Business Logic, Complex Problem Solving, Decision Making

    4.4
    Rating, 4.4 out of 5 stars
    ·
    655 reviews

    Intermediate · Course · 1 - 3 Months

  • K

    Koç University

    Doğrusal Cebir II: Kare Matrisler, Hesaplama Yöntemleri ve Uygulamalar / Linear Algebra II: Square Matrices, Calculation Methods and Applications

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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    27 reviews

    Mixed · Course · 1 - 3 Months

  • D

    Duke University

    Data Science Math Skills

    Skills you'll gain: Probability, Graphing, Algebra, Bayesian Statistics, Arithmetic, Data Science, Calculus, General Mathematics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    13K reviews

    Beginner · Course · 1 - 4 Weeks

  • H

    Howard University

    Building Regression Models with Linear Algebra

    Skills you'll gain: Regression Analysis, Predictive Modeling, Statistical Modeling, Applied Mathematics, Machine Learning Methods, Linear Algebra, Model Evaluation, Statistical Analysis, Data Manipulation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • H

    Howard University

    Capstone: Data Science Problem in Linear Algebra Framework

    Skills you'll gain: Data Wrangling, Regression Analysis, Dimensionality Reduction, Data Science, Python Programming, Data Preprocessing, Predictive Modeling, Data Analysis, Linear Algebra, Exploratory Data Analysis, Model Evaluation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    8 reviews

    Mixed · Course · 1 - 4 Weeks

1…567…32

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

  • Logic and Reasoning for Computing: University of London
  • Numerical Methods for Engineers: The Hong Kong University of Science and Technology
  • Expressway to Data Science: Essential Math: University of Colorado Boulder
  • Linear Algebra for ML and Analytics Training: Simplilearn
  • DoÄŸrusal Cebir I: Uzaylar ve İşlemciler / Linear Algebra I: Spaces and Operators: Koç University
  • Foundational Mathematics for AI: Johns Hopkins University
  • Mathematics for Engineering: Birla Institute of Technology & Science, Pilani
  • Introduction to Logic: Stanford University
  • DoÄŸrusal Cebir II: Kare Matrisler, Hesaplama Yöntemleri ve Uygulamalar / Linear Algebra II: Square Matrices, Calculation Methods and Applications: Koç University
  • Data Science Math Skills: Duke University

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