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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


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    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
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    27 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
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    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, Probability & Statistics, Statistical Modeling, Technical Communication, Data Presentation, Probability, Statistics, Statistical Analysis, Statistical Reporting, Statistical Software, Probability Distribution, Data Analysis, Markov Model, Data Science

    4.6
    Rating, 4.6 out of 5 stars
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    3.5K reviews

    Intermediate · Specialization · 3 - 6 Months

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    K

    Korea Advanced Institute of Science and Technology(KAIST)

    Applied Math for Materials Science and Engineering (Part 2)

    Skills you'll gain: Mathematical Modeling, Integral Calculus, Applied Mathematics, Engineering Analysis, Advanced Mathematics, Calculus, Mathematical Theory & Analysis, Differential Equations, Mechanics, Trigonometry, Engineering, Geometry, Electrical Engineering

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    I

    IBM

    Exploratory Data Analysis for Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Statistical Methods, Data Preprocessing, Statistical Inference, Statistical Hypothesis Testing, Data Processing, Applied Machine Learning, Data Access, Statistics, Statistical Analysis, Data Analysis, Data Cleansing, Data Manipulation, Data Science, Data Wrangling, Machine Learning, Probability & Statistics, Data Import/Export, Data Transformation

    4.6
    Rating, 4.6 out of 5 stars
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    2.6K reviews

    Intermediate · Course · 1 - 3 Months

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    I

    IBM

    Supervised Machine Learning: Regression

    Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning Methods, Model Training, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Statistical Modeling, Model Evaluation, Data Preprocessing, Feature Engineering, Model Optimization, Statistical Analysis, Statistical Methods, Classification Algorithms, Data Presentation

    4.7
    Rating, 4.7 out of 5 stars
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    838 reviews

    Intermediate · Course · 1 - 3 Months

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    G

    Georgia Institute of Technology

    Linear Circuits 1: DC Analysis

    Skills you'll gain: Basic Electrical Systems, Electronic Components, Electrical Power, Electrical Systems, Electronic Systems, Electrical Engineering, Engineering Analysis, Electronics, Electronics Engineering, Engineering, Scientific, and Technical Instruments, Engineering Calculations, Physics, Calculus, Integral Calculus

    4.5
    Rating, 4.5 out of 5 stars
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    1.5K reviews

    Mixed · Course · 1 - 3 Months

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    U

    University of Toronto

    Introduction to Self-Driving Cars

    Skills you'll gain: Control Systems, Robotics, Simulation and Simulation Software, Software Architecture, Simulations, Safety Assurance, Hardware Architecture, Systems Architecture, Mathematical Modeling

    4.7
    Rating, 4.7 out of 5 stars
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    2.9K reviews

    Advanced · Course · 1 - 3 Months

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    D

    DeepLearning.AI

    Supervised Machine Learning: Regression and Classification

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, Model Training, NumPy, Machine Learning Algorithms, Predictive Modeling, Classification Algorithms, Feature Engineering, Artificial Intelligence, Model Evaluation, Data Preprocessing, Python Programming, Logistic Regression, Model Optimization, Regression Analysis, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
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    32K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    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
    Rating, 4.7 out of 5 stars
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    1.4K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    J

    Johns Hopkins University

    Algebra: Elementary to Advanced - Polynomials and Roots

    Skills you'll gain: Algebra, Advanced Mathematics, Applied Mathematics, Arithmetic, Deductive Reasoning, Analytical Skills, Mathematical Modeling, Geometry, Graphing

    4.9
    Rating, 4.9 out of 5 stars
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    175 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning: Regression

    Skills you'll gain: Regression Analysis, Model Evaluation, Predictive Modeling, Supervised Learning, Statistical Machine Learning, Statistical Modeling, Model Training, Applied Machine Learning, Machine Learning Algorithms, Machine Learning Methods, Feature Engineering, Machine Learning, Data Preprocessing, Model Optimization, Statistical Methods

    4.8
    Rating, 4.8 out of 5 stars
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    5.6K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Introduction to Data, Signal, and Image Analysis with MATLAB

    Skills you'll gain: Scientific Visualization, Image Analysis, Data Visualization Software, Matlab, Machine Learning Methods, Applied Machine Learning, Dimensionality Reduction, Digital Signal Processing, Data Analysis, Data Processing, Mathematical Software, Classification Algorithms, Regression Analysis, Scripting

    4.6
    Rating, 4.6 out of 5 stars
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    235 reviews

    Intermediate · Course · 1 - 3 Months

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Skills you can learn in Machine Learning

Python Programming (33)
Tensorflow (32)
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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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