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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


  • L

    L&T EduTech

    Chip based VLSI design for Industrial Applications

    Skills you'll gain: Field-Programmable Gate Array (FPGA), Electronic Systems, Electronic Hardware, Electronics, Hardware Design, Electronics Engineering, Serial Peripheral Interface, Electrical and Computer Engineering, Computational Logic, Microarchitecture, Electrical Engineering, Computer Architecture, Schematic Diagrams, Semiconductors, Hardware Architecture, Electronic Components, Internet Of Things, Verification And Validation, Simulation and Simulation Software, Design Software

    4.5
    Rating, 4.5 out of 5 stars
    ·
    183 reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of Colorado Boulder

    Algebra and Differential Calculus for Data Science

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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    265 reviews

    Intermediate · Course · 1 - 3 Months

  • K

    Koç University

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

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

    4.1
    Rating, 4.1 out of 5 stars
    ·
    43 reviews

    Mixed · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Linear Algebra: Orthogonality and Diagonalization

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

    4.9
    Rating, 4.9 out of 5 stars
    ·
    49 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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

  • 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, Applied Mathematics, Advanced Mathematics, Algebra, Mathematical Theory & Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    27 reviews

    Mixed · Course · 1 - 3 Months

  • 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 Analysis, Data Science, Statistics, Mathematical Modeling, Analysis, Data Modeling

    4.4
    Rating, 4.4 out of 5 stars
    ·
    799 reviews

    Advanced · Specialization · 3 - 6 Months

  • H

    Howard University

    Fundamental Linear Algebra Concepts with Python

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

    4.5
    Rating, 4.5 out of 5 stars
    ·
    18 reviews

    Mixed · Course · 1 - 4 Weeks

  • B

    Birla Institute of Technology & Science, Pilani

    Differential Equations and Applications

    Skills you'll gain: Differential Equations, Applied Mathematics, Engineering Analysis, Linear Algebra, Calculus, Advanced Mathematics, Mathematical Modeling, Integral Calculus, Dependency Analysis, Mathematical Theory & Analysis, Derivatives

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • U

    University of Illinois Urbana-Champaign

    VLSI CAD Part I: Logic

    Skills you'll gain: Computational Logic, Application Specific Integrated Circuits, Theoretical Computer Science, Data Structures, Verification And Validation, Systems Design, Algorithms, Programming Principles, Design Software, Model Optimization, Digital Design

    4.6
    Rating, 4.6 out of 5 stars
    ·
    557 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Foundations of Quantum Mechanics

    Skills you'll gain: Electrical Engineering, Linear Algebra, Physics, Applied Mathematics, Advanced Mathematics, Mathematical Modeling, Differential Equations, Physical Science

    4.5
    Rating, 4.5 out of 5 stars
    ·
    90 reviews

    Intermediate · Course · 1 - 3 Months

  • R

    Rice University

    Physics 101 - Forces and Kinematics

    Skills you'll gain: Mechanics, Problem Solving, Physics, Graphing, Mathematical Modeling, Algebra, Calculus, Physical Science, Applied Mathematics, Mechanical Engineering, Trigonometry

    4.7
    Rating, 4.7 out of 5 stars
    ·
    203 reviews

    Intermediate · Course · 1 - 4 Weeks

1…567…30

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

  • Chip based VLSI design for Industrial Applications: L&T EduTech
  • Algebra and Differential Calculus for Data Science: University of Colorado Boulder
  • DoÄŸrusal Cebir I: Uzaylar ve İşlemciler / Linear Algebra I: Spaces and Operators: Koç University
  • Linear Algebra: Orthogonality and Diagonalization: Johns Hopkins University
  • Linear Algebra for ML and Analytics Training: Simplilearn
  • DoÄŸrusal Cebir II: Kare Matrisler, Hesaplama Yöntemleri ve Uygulamalar / Linear Algebra II: Square Matrices, Calculation Methods and Applications: Koç University
  • Advanced Statistics for Data Science: Johns Hopkins University
  • Fundamental Linear Algebra Concepts with Python: Howard University
  • Differential Equations and Applications: Birla Institute of Technology & Science, Pilani
  • VLSI CAD Part I: Logic: University of Illinois Urbana-Champaign

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