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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.


More to explore:

Popular Linear Algebra Courses and Certifications


  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Calculus through Data & Modeling: Differentiation Rules

    Skills you'll gain: Calculus, Applied Mathematics, Trigonometry, Mathematical Modeling, Algebra, Derivatives, Geometry

    4.8
    Rating, 4.8 out of 5 stars
    ·
    113 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Precalculus: Periodic Functions

    Skills you'll gain: Trigonometry, Systems Of Measurement, Geometry, Mathematical Modeling, Graphing, Algebra, Applied Mathematics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    108 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    تصميم تجربة المستخدم من Google

    Skills you'll gain: Adobe XD, Prototyping, User Experience Design, Usability Testing, UI/UX Research, Figma (Design Software), User Experience, Presentations, Responsive Web Design, Information Architecture, User Story, Storyboarding, User Research, Design, Design Research, Persona (User Experience), User Interface and User Experience (UI/UX) Design, Web Design, User Centered Design, Data Ethics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    147 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Precalculus: Mathematical Modeling

    Skills you'll gain: Data Analysis, Applied Mathematics, Mathematical Modeling, Analytical Skills, Statistics, Systems Of Measurement, Correlation Analysis, Regression Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    95 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Applied Kalman Filtering

    Skills you'll gain: Bayesian Network, Linear Algebra, Numerical Analysis, Matlab, Statistical Modeling, Simulations, Estimation, Advanced Mathematics, Mathematical Modeling, Statistical Analysis, Time Series Analysis and Forecasting, Probability & Statistics, Control Systems, Forecasting, Applied Mathematics, Statistical Methods, Predictive Analytics, Engineering Analysis, Mathematical Software, Simulation and Simulation Software

    4.9
    Rating, 4.9 out of 5 stars
    ·
    26 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Physics 102 - Magnetic Fields and Faraday's Law

    Skills you'll gain: Torque (Physics), Physics, electromagnetics, Electrical Engineering, Applied Mathematics, Mechanics, Calculus, Engineering Analysis, Electrical Systems, Trigonometry, Problem Solving

    4.8
    Rating, 4.8 out of 5 stars
    ·
    26 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Python for Data Science

    Skills you'll gain: Feature Engineering, Data Wrangling, Exploratory Data Analysis, Matplotlib, Statistical Analysis, Data Preprocessing, Seaborn, Data Science, Data Visualization Software, Data Manipulation, Data Cleansing, Data Analysis, Pandas (Python Package), Statistics, Business Analytics, Jupyter, Data Transformation, Descriptive Statistics, Correlation Analysis, Statistical Hypothesis Testing

    4.1
    Rating, 4.1 out of 5 stars
    ·
    98 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Corporate Finance Institute

    Practical Data Science for Data Analysts

    Skills you'll gain: Classification Algorithms, Data Preprocessing, Feature Engineering, Model Evaluation, Data Import/Export, Matplotlib, Data Science, Regression Analysis, Financial Data, Data Analysis, Exploratory Data Analysis, Business Analytics, Data Cleansing, Pandas (Python Package), Machine Learning Algorithms, Statistical Visualization, Financial Analysis, Statistical Modeling, Statistical Analysis, Predictive Analytics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    26 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Kalman Filter Boot Camp (and State Estimation)

    Skills you'll gain: Linear Algebra, Matlab, Statistical Modeling, Simulations, Statistical Analysis, Time Series Analysis and Forecasting, Probability & Statistics, Numerical Analysis, Forecasting

    4.9
    Rating, 4.9 out of 5 stars
    ·
    19 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Introduction to Machine Learning in Sports Analytics

    Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Model Evaluation, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Analytics, Decision Tree Learning, Machine Learning, Logistic Regression, Data Analysis, Classification Algorithms, Data Preprocessing, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Codio

    C++: Data Structures and Algorithms

    Skills you'll gain: Computational Thinking, Algorithms, Graph Theory, Data Structures, C++ (Programming Language), C and C++, Programming Principles, Computer Programming, Object Oriented Programming (OOP), Technical Design, Theoretical Computer Science

    4.5
    Rating, 4.5 out of 5 stars
    ·
    15 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations and Core Concepts of PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation, Deep Learning, Machine Learning, Artificial Neural Networks, Artificial Intelligence, Python Programming, Data Preprocessing, Regression Analysis, Software Installation, System Configuration, Development Environment, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    42 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Calculus through Data & Modeling: Differentiation Rules: Johns Hopkins University
  • Precalculus: Periodic Functions: Johns Hopkins University
  • تصميم تجربة المستخدم من Google: Google
  • Precalculus: Mathematical Modeling: Johns Hopkins University
  • Applied Kalman Filtering: University of Colorado System
  • Physics 102 - Magnetic Fields and Faraday's Law: Rice University
  • Python for Data Science: Fractal Analytics
  • Practical Data Science for Data Analysts: Corporate Finance Institute
  • Kalman Filter Boot Camp (and State Estimation): University of Colorado System
  • Introduction to Machine Learning in Sports Analytics: University of Michigan

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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