Linear Algebra

Linear Algebra is a fundamental area of mathematics that studies vectors, vector spaces and linear transformations between these spaces. Coursera's Linear Algebra catalogue teaches you the concepts, principles, and applications of linear algebra in science and engineering. You'll learn about vector spaces, matrices, determinants, eigenvalues and eigenvectors, and their practical applications. You'll also delve into theoretical aspects, such as abstract vector spaces and linear transformations, and gain tools for solving systems of linear equations. This knowledge will serve as a foundation for various fields such as machine learning, data science, artificial intelligence, and quantum computing.
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Explore the Linear Algebra Course Catalog

  • Status: New
    Status: Free Trial

    Skills you'll gain: Animation and Game Design, Unity Engine, Game Design, 3D Assets, User Interface (UI), Computer Graphics, 3D Modeling, Virtual Environment, Video Game Development, Animations, User Interface (UI) Design, Visualization (Computer Graphics), Computer Graphic Techniques, Performance Tuning, Software Design, Data-oriented programming, C# (Programming Language), Scripting, Linear Algebra, Data Structures

  • Status: Preview

    Skills you'll gain: Mathematical Modeling, Engineering, Mechanics, Automation, 3D Modeling, Engineering Analysis, Virtual Environment, Simulation and Simulation Software, Matlab, Control Systems, Applied Mathematics, Linear Algebra, Computer Programming Tools

  • Status: New
    Status: Free Trial

    Skills you'll gain: Unity Engine, Computer Graphics, Visualization (Computer Graphics), Computer Graphic Techniques, C# (Programming Language), Linear Algebra, Scripting

  • Status: Preview

    University of Washington

    Skills you'll gain: Regression Analysis, Supervised Learning, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Applied Machine Learning, Scikit Learn (Machine Learning Library), Statistical Modeling, Feature Engineering, Python Programming, Linear Algebra, NumPy, Algorithms

  • Status: Preview

    University of Pennsylvania

    Skills you'll gain: Control Systems, Robotic Process Automation, Automation, Artificial Intelligence, Programmable Logic Controllers, Matlab, Simulation and Simulation Software, Embedded Software, Engineering, Computer Vision, Mathematical Modeling, Mechanics, Algorithms, Estimation, Differential Equations, Linear Algebra

  • Skills you'll gain: Large Language Modeling, LangChain, NoSQL, Database Systems, Databases, Query Languages, OpenAI, Data Management, Linear Algebra, Development Environment, Unstructured Data, Scalability, Data Analysis

  • Status: Preview

    Skills you'll gain: Mechanics, Torque (Physics), Automation Engineering, Mathematical Modeling, Mathematical Software, Engineering Analysis, Engineering Calculations, Applied Mathematics, Trigonometry, Linear Algebra, Spatial Analysis

  • Status: Preview

    Skills you'll gain: Automation Engineering, Mathematical Modeling, Computer Programming Tools, Simulation and Simulation Software, Mechanical Engineering, Engineering Calculations, Software Development Tools, Numerical Analysis, Mechanics, Torque (Physics), Algorithms, Control Systems, Applied Mathematics, Differential Equations, Linear Algebra

  • Status: Preview

    Skills you'll gain: Control Systems, Robotic Process Automation, Simulations, Record Keeping, Matlab, Computer Programming, Linear Algebra

  • Skills you'll gain: Data Ethics, Statistical Machine Learning, Regression Analysis, Statistical Hypothesis Testing, Exploratory Data Analysis, Bayesian Statistics, Statistical Visualization, Classification And Regression Tree (CART), Network Analysis, Statistical Methods, Planning, Data Visualization, Data Manipulation, Data Analysis, Statistical Inference, Unsupervised Learning, Linear Algebra, Statistical Modeling, Artificial Intelligence and Machine Learning (AI/ML), Object Oriented Programming (OOP)

  • Skills you'll gain: Unsupervised Learning, Supervised Learning, Artificial Intelligence, Data Ethics, Dimensionality Reduction, Probability & Statistics, Responsible AI, Machine Learning Methods, Machine Learning, Natural Language Processing, Applied Machine Learning, Semantic Web, Linear Algebra, Classification And Regression Tree (CART), Machine Learning Algorithms, Statistical Methods, Bayesian Statistics, Scientific Visualization, Unstructured Data, Scikit Learn (Machine Learning Library)

  • University of Pittsburgh

    Skills you'll gain: LLM Application, Tool Calling, Database Systems, Data Visualization, Database Design, Apache Spark, Predictive Modeling, Large Language Modeling, Database Management, Databases, Unsupervised Learning, Data Ethics, Bayesian Statistics, Data Visualization Software, Cloud Computing, Linear Algebra, Data Governance, Regression Analysis, Applied Machine Learning, Data Analysis

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