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    • Linear Algebra

    Linear Algebra Courses Online

    Study linear algebra for mathematical and engineering applications. Learn about matrices, vectors, and linear transformations.

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    Explore the Linear Algebra Course Catalog

    • Status: Free
      Free
      C

      Coursera Project Network

      Диверсификация портфеля с помощью корреляционной матрицы

      Skills you'll gain: Correlation Analysis, Portfolio Management, Investments, Financial Analysis, Asset Management, Financial Market, Risk Analysis

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Corporate Finance Institute

      Data Prep for Machine Learning in Python

      Skills you'll gain: Feature Engineering, Data Import/Export, Exploratory Data Analysis, Data Cleansing, Data Manipulation, Data Processing, Plot (Graphics), Data Visualization, Data Transformation, Descriptive Statistics, Pandas (Python Package), Data Analysis, Box Plots, Data Validation, Python Programming, Data Science, Scikit Learn (Machine Learning Library), Statistical Analysis, Correlation Analysis

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      P

      Politecnico di Milano

      Derivatives: a guide to calculation

      Skills you'll gain: ChatGPT, Calculus, Derivatives, Mathematical Software, AI Personalization, Applied Mathematics, Mathematics Education, Machine Learning Algorithms, Algebra, Geometry, Mathematical Theory & Analysis, Graphing

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Wireframes in Miro: Exploring New Ideas

      Skills you'll gain: Wireframing, User Experience Design, User Interface and User Experience (UI/UX) Design, User Centered Design, Mockups, Information Architecture

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      N

      Northwestern University

      현대 로봇공학, 강좌 2: 로봇 기구학

      Skills you'll gain: Mechanics, Torque (Physics), Mathematical Modeling, Engineering Analysis, Engineering Calculations, Mechanical Engineering, Numerical Analysis, Applied Mathematics, Trigonometry, Control Systems, Linear Algebra, Spatial Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Landscapes and Open World Creation

      Skills you'll gain: Unreal Engine, Computer Graphics, Video Game Development, Visualization (Computer Graphics), Scalability, Performance Tuning

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      NumPy, Matplotlib & Pandas – Data Science Prerequisites

      Skills you'll gain: Matplotlib, Pandas (Python Package), NumPy, Data Visualization Software, Scatter Plots, Data Manipulation, Scikit Learn (Machine Learning Library), Data Science, Statistical Methods, Data Analysis Software, Python Programming, Machine Learning, Probability Distribution, Classification And Regression Tree (CART), Linear Algebra

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      N

      Northwestern University

      현대 로봇공학, 강좌 3: 로봇 동역학

      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

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      N

      Northwestern University

      현대 로봇공학, 강좌 6: 캡스톤 프로젝트, 모바일 매니퓰레이션

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

      Intermediate · Course · 1 - 4 Weeks

    • M

      Meta

      Proyecto Final de Android App

      Skills you'll gain: Android Jetpack, Git (Version Control System), Android Development, Android Studio, Mobile Development, User Interface and User Experience (UI/UX) Design, User Flows, User Interface (UI), Information Architecture

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      N

      Northwestern University

      현대 로봇공학, 강좌 5: 로봇 매니퓰레이션 및 차륜형 이동 로봇

      Skills you'll gain: Machine Controls, Automation Engineering, Mathematical Modeling, Torque (Physics), Mechanics, Control Systems, Mechanical Engineering, Engineering, Simulation and Simulation Software, Engineering Analysis, Applied Mathematics, Program Development, Linear Algebra

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      I

      Indian Institute of Technology Guwahati

      Designing User Interfaces and User Interactions

      Skills you'll gain: User Experience, Information Architecture, User Experience Design, Interaction Design, User Flows, Usability, User Centered Design, User Interface (UI) Design, Wireframing, User Research, Conceptual Design, Persona Development, Mockups, Ideation

      Beginner · Course · 1 - 3 Months

    Linear Algebra learners also search

    Linear Programming
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    Beginner Predictive Analytics
    1…52535455

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

    • Диверсификация портфеля с помощью корреляционной матрицы: Coursera Project Network
    • Data Prep for Machine Learning in Python: Corporate Finance Institute
    • Derivatives: a guide to calculation: Politecnico di Milano
    • Wireframes in Miro: Exploring New Ideas: Coursera Project Network
    • 현대 로봇공학, 강좌 2: 로봇 기구학: Northwestern University
    • Landscapes and Open World Creation: Packt
    • NumPy, Matplotlib & Pandas – Data Science Prerequisites: Packt
    • 현대 로봇공학, 강좌 3: 로봇 동역학: Northwestern University
    • 현대 로봇공학, 강좌 6: 캡스톤 프로젝트, 모바일 매니퓰레이션: Northwestern University
    • Proyecto Final de Android App: Meta

    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)

    Frequently Asked Questions about Linear Algebra

    Linear algebra courses on Coursera cover a wide array of fundamental and advanced topics, enabling learners to:

    • Understand vectors and matrices and their applications in various fields
    • Learn methods for solving systems of linear equations
    • Explore eigenvalues and eigenvectors and their significance in transformations
    • Apply linear algebra concepts to computer graphics, data analysis, and more
    • Discover how linear algebra supports machine learning and artificial intelligence algorithms‎

    No prior experience in advanced mathematics is required to start with the introductory linear algebra courses available on Coursera. These courses are designed to accommodate learners at different proficiency levels:

    • Beginners can start with basic concepts of vectors and matrix operations.
    • Intermediate learners can delve into more complex subjects such as linear transformations and space.
    • Advanced learners can tackle topics like abstract vector spaces and computational linear algebra.‎

    Coursera offers various credentials through its linear algebra courses, designed to cater to both novices and professionals:

    • Course certificates that validate your knowledge of linear algebra fundamentals
    • Professional certificates that demonstrate your specialized skills in mathematics
    • Specializations with focused expertise in advanced linear algebra topics‎

    Looking to enhance your team's linear algebra skills? Coursera provides tailored enterprise solutions for teams ranging of 5-125 employees. Our offerings include advanced analytics, customized learning paths, and collaborative tools. To explore our linear algebra training options and make a purchase, please visit our Coursera for Teams page.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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