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  • Linear Algebra

Linear Algebra Courses

Linear Algebra courses can help you learn vector spaces, matrix operations, eigenvalues, and linear transformations. You can build skills in solving systems of equations, performing dimensionality reduction, and applying concepts to data analysis and machine learning. Many courses introduce tools such as MATLAB, Python libraries like NumPy, and software for computational mathematics, that support implementing algorithms and visualizing data in various applications, including artificial intelligence and AI-driven models.


Popular Linear Algebra Courses and Certifications


  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Natural Language Processing with Sequence Models

    Skills you'll gain: Natural Language Processing, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Tensorflow, Text Mining, Embeddings, Applied Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Natural Language Processing with Attention Models

    Skills you'll gain: Natural Language Processing, Transfer Learning, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Applied Machine Learning, Keras (Neural Network Library), Embeddings, Model Evaluation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    K

    Korea Advanced Institute of Science and Technology(KAIST)

    Math for AI Beginner Part 2 : Vector Calulus

    Skills you'll gain: Engineering Calculations, Applied Mathematics, Engineering Analysis, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Calculus, Mathematical Modeling, Advanced Mathematics, Machine Learning

    Beginner · Course · 1 - 3 Months

  • Status: Preview
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    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
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    655 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    T

    Tecnológico de Monterrey

    Cálculo Diferencial e Integral unidos por el Teorema Fundamental del Cálculo

    Skills you'll gain: Calculus, Integral Calculus, Advanced Mathematics, Graphing, Numerical Analysis, Trigonometry, Mathematical Modeling, Mathematical Theory & Analysis, Algebra, Applied Mathematics, Derivatives

    4.6
    Rating, 4.6 out of 5 stars
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    723 reviews

    Mixed · Course · 3 - 6 Months

  • Status: Preview
    Preview
    G

    Georgia Institute of Technology

    Fundamentals of Engineering Exam Review

    Skills you'll gain: Structural Analysis, Probability & Statistics, Hydraulics, Statistics, Mechanical Engineering, Probability, Engineering, Mechanics, Hydrology, Civil Engineering, Algebra, Advanced Mathematics, Calculus, Differential Equations, Geometry, Trigonometry

    4.7
    Rating, 4.7 out of 5 stars
    ·
    616 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Honors Algebra 2: Series, Trigonometry, and Probability

    Skills you'll gain: Trigonometry, Probability, Data Analysis, Algebra, Probability Distribution, Descriptive Statistics, Mathematical Modeling, Graphing, Statistics, Geometry, Arithmetic

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    U

    UNSW Sydney (The University of New South Wales)

    Mechanics: Motion, Forces, Energy and Gravity, from Particles to Planets

    Skills you'll gain: Mechanics, Physics, Experimentation, Engineering Calculations, Applied Mathematics, Physical Science, Engineering Analysis, Mathematical Modeling, Estimation

    4.7
    Rating, 4.7 out of 5 stars
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    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Regression

    Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Statistical Modeling, Logistic Regression, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Feature Engineering, Statistical Analysis, Classification Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    831 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    U

    University of Pennsylvania

    Calculus: Single Variable Part 2 - Differentiation

    Skills you'll gain: Calculus, Applied Mathematics, Derivatives, Engineering Calculations, Advanced Mathematics, Estimation

    4.8
    Rating, 4.8 out of 5 stars
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    1.2K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Calculus for Machine Learning and Data Science

    Skills you'll gain: Applied Mathematics, Calculus, Numerical Analysis, Mathematical Modeling, Machine Learning, Python Programming, Artificial Neural Networks, Deep Learning, Visualization (Computer Graphics), Derivatives

    4.8
    Rating, 4.8 out of 5 stars
    ·
    951 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    Universitat Autònoma de Barcelona

    Pre-Calculus

    Skills you'll gain: Trigonometry, Integral Calculus, Calculus, Arithmetic, Advanced Mathematics, Algebra, Geometry, Applied Mathematics, Graphing, Derivatives, Problem Solving

    4.7
    Rating, 4.7 out of 5 stars
    ·
    573 reviews

    Beginner · Course · 1 - 3 Months

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

  • Natural Language Processing with Sequence Models: DeepLearning.AI
  • Natural Language Processing with Attention Models: DeepLearning.AI
  • Math for AI Beginner Part 2 : Vector Calulus: Korea Advanced Institute of Science and Technology(KAIST)
  • Introduction to Logic: Stanford University
  • Cálculo Diferencial e Integral unidos por el Teorema Fundamental del Cálculo: Tecnológico de Monterrey
  • Fundamentals of Engineering Exam Review: Georgia Institute of Technology
  • Honors Algebra 2: Series, Trigonometry, and Probability: Johns Hopkins University
  • Mechanics: Motion, Forces, Energy and Gravity, from Particles to Planets: UNSW Sydney (The University of New South Wales)
  • Supervised Machine Learning: Regression: IBM
  • Calculus: Single Variable Part 2 - Differentiation: University of Pennsylvania

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Linear Algebra (10)
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Numpy (9)

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