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  2. Linear Algebra

Linear Algebra Courses

Linear algebra courses cover key concepts such as vectors, matrices, determinants, and linear transformations. You will learn how to solve systems of equations, perform operations like matrix multiplication, and understand eigenvalues and eigenvectors. These skills are applicable in various fields, including computer graphics, data science, and optimization.

Popular Linear Algebra Courses and Certifications


  • T

    The University of Sydney

    Introduction to Calculus

    Skills you'll gain: Calculus, Integral Calculus, Algebra, Geometry, Trigonometry, Derivatives, Graphing

    4.8 stars, 4K reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.8 (4K) · Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
  • U

    University of California, Santa Cruz

    Bayesian Statistics

    Skills you'll gain: Bayesian Statistics, Time Series Analysis and Forecasting, Statistical Inference, Statistical Methods, R Programming, Forecasting, Statistical Programming, R (Software), Probability & Statistics, Statistical Modeling, Technical Communication, Data Presentation, Probability, Statistics, Statistical Analysis, Statistical Reporting, Statistical Software, Probability Distribution, Data Analysis, Data Science

    4.6 stars, 3.5K reviews, Intermediate, Specialization, 3 - 6 Months

    ★ 4.6 (3.5K) · Intermediate · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • D

    Duke University

    Data Science Math Skills

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

    4.5 stars, 13K reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.5 (13K) · Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview
  • U

    University of Pennsylvania

    Fundamentals of Quantitative Modeling

    Skills you'll gain: Business Modeling, Mathematical Modeling, Regression Analysis, Statistical Modeling, Risk Analysis, Data Modeling, Business Analysis, Predictive Modeling, Forecasting, Predictive Analytics, Statistical Methods, Simulation and Simulation Software, Probability, Model Optimization, Logistic Regression, Probability Distribution, Vocabulary

    4.6 stars, 9.4K reviews, Mixed, Course, 1 - 4 Weeks

    ★ 4.6 (9.4K) · Mixed · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • 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, Analytics, Statistical Analysis, Statistical Modeling, Statistics, Case Studies, Forecasting, Probability & Statistics, Estimation, Model Evaluation, Statistical Hypothesis Testing, Probability, Linear Algebra

    4.6 stars, 1.2K reviews, Mixed, Course, 1 - 3 Months

    ★ 4.6 (1.2K) · Mixed · Course · 1 - 3 Months

    Category: Preview
    Preview
  • 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

    4.8 stars, 55 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.8 (55) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • U

    Universidad Nacional Autónoma de México

    Álgebra básica

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

    4.8 stars, 3.7K reviews, Mixed, Course, 1 - 3 Months

    ★ 4.8 (3.7K) · Mixed · Course · 1 - 3 Months

    Category: Preview
    Preview
  • R

    Rice University

    Business Statistics and Analysis

    Skills you'll gain: Statistical Hypothesis Testing, Microsoft Excel, Statistical Methods, Pivot Tables And Charts, Regression Analysis, Statistics, Descriptive Statistics, Probability & Statistics, Graphing, Spreadsheet Software, Probability Distribution, Business Analytics, Statistical Modeling, Statistical Analysis, Statistical Inference, Excel Formulas, Data Analysis, Presentations, Data Presentation, Sample Size Determination

    4.7 stars, 13K reviews, Beginner, Specialization, 3 - 6 Months

    ★ 4.7 (13K) · Beginner · Specialization · 3 - 6 Months

    Status: Trending right now
    Trending right now
    Status: Free trial
    Free trial
  • S

    Simplilearn

    Linear Algebra for ML and Analytics Training

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

    Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview
  • U

    Universidad de Palermo

    Matemática Preuniversitaria

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

    4.7 stars, 69 reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.7 (69) · Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview
  • K

    Korea Advanced Institute of Science and Technology(KAIST)

    Differential Equations Part I Basic Theory

    Skills you'll gain: Differential Equations, Mathematical Modeling, Applied Mathematics, Calculus, Mechanics

    4.7 stars, 1.4K reviews, Beginner, Course, 1 - 3 Months

    ★ 4.7 (1.4K) · Beginner · Course · 1 - 3 Months

    Category: Preview
    Preview
  • T

    The Hong Kong University of Science and Technology

    Numerical Methods for Engineers

    Skills you'll gain: Matlab, Numerical Analysis, Mathematical Software, Linear Algebra, Differential Equations, Applied Mathematics, Simulation and Simulation Software, Computational Thinking, Integral Calculus, Scripting, Simulations, Calculus, Plot (Graphics), Algorithms

    4.8 stars, 448 reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.8 (448) · Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
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How to choose the right Linear Algebra course

Start with your goal for linear algebra. If you want to apply it in machine learning, choose courses that cover matrix operations, eigenvalues, and their applications in algorithms. If you’re focused on the theoretical side, look for courses that emphasize proofs, vector spaces, and linear transformations.

Skills you can learn in Machine Learning

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