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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: Preview
    Preview
    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, Systems Of Measurement, Physical Science, Calculus, Estimation, Trigonometry, Applied Mathematics, Experimentation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Amsterdam

    Inferential Statistics

    Skills you'll gain: Regression Analysis, Statistical Inference, Statistics, Correlation Analysis, Statistical Programming, Statistical Modeling, Logistic Regression, Predictive Modeling

    4.4
    Rating, 4.4 out of 5 stars
    ·
    610 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Introduction to Genomic Technologies

    Skills you'll gain: Bioinformatics, Data Science, Molecular Biology, Science and Research, Data Processing, Data Analysis, Computer Science, Correlation Analysis, Biotechnology, Statistical Analysis, Computational Thinking, Life Sciences, Probability & Statistics, Statistics, Software Engineering, Algorithms, Biology

    4.6
    Rating, 4.6 out of 5 stars
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    4.9K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Probability & Statistics for Machine Learning & Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Statistical Methods, Probability Distribution, Probability, Statistical Inference, Statistics, A/B Testing, Statistical Analysis, Statistical Machine Learning, Data Science, Exploratory Data Analysis, Correlation Analysis, Histogram, Statistical Visualization, Box Plots

    4.6
    Rating, 4.6 out of 5 stars
    ·
    688 reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    Duke University

    Bayesian Statistics

    Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Statistical Modeling, Statistical Methods, Statistical Inference, Statistical Programming, Statistical Analysis, Statistics, Probability & Statistics, Regression Analysis, Data Analysis, R Programming, R (Software), Probability, Analysis, Data-Driven Decision-Making, Predictive Modeling, Model Evaluation, Probability Distribution

    3.8
    Rating, 3.8 out of 5 stars
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    799 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Advanced Algorithms and Complexity

    Skills you'll gain: Algorithms, Network Routing, Network Model, Graph Theory, Operations Research, Theoretical Computer Science, Network Analysis, Computer Science, Big Data, Python Programming, Model Optimization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    701 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Codio

    C++: Non-Linear Data Structures

    Skills you'll gain: Algorithms, Graph Theory, Data Structures, Computer Programming, C++ (Programming Language), Object Oriented Programming (OOP)

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    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
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    90 reviews

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Matrix Calculus for Data Science & Machine Learning

    Skills you'll gain: Model Optimization, Calculus, Machine Learning Methods, NumPy, Machine Learning Algorithms, Applied Machine Learning, Tensorflow, Python Programming, Derivatives, Development Environment

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM UI/UX Designer

    Skills you'll gain: User Story, Information Architecture, UI/UX Research, User Research, Persona (User Experience), User Interface and User Experience (UI/UX) Design, Design Thinking, Agile Software Development, UI/UX Strategy, Scrum (Software Development), User Centered Design, Design Research, Responsive Web Design, User Interface (UI), Figma (Design Software), Wireframing, User Experience, Adobe XD, Responsible AI, Prototyping

    4.8
    Rating, 4.8 out of 5 stars
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    2.9K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    E

    Edge Impulse

    Introduction to Embedded Machine Learning

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Embedded Software, Model Training, Data Preprocessing, Machine Learning Methods, Embedded Systems, Data Processing, Machine Learning Software, Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Data Literacy, Deep Learning, Responsible AI, Data Collection, Model Deployment, Computer Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    756 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning and Reinforcement Learning

    Skills you'll gain: Autoencoders, Generative AI, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Model Optimization, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Fine-tuning, Machine Learning, Artificial Intelligence, Computer Vision

    4.6
    Rating, 4.6 out of 5 stars
    ·
    299 reviews

    Intermediate · Course · 1 - 3 Months

1…141516…72

Skills you can learn in Machine Learning

Python Programming (33)
Tensorflow (32)
Deep Learning (30)
Artificial Neural Network (24)
Big Data (18)
Statistical Classification (17)
Reinforcement Learning (13)
Algebra (10)
Bayesian (10)
Linear Algebra (10)
Linear Regression (9)
Numpy (9)

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