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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: New
      New
      Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Applied Statistics for Data Analytics

      Skills you'll gain: Probability & Statistics, Statistical Analysis, Statistics, Statistical Modeling, Statistical Hypothesis Testing, Statistical Visualization, Descriptive Statistics, Data Analysis, Histogram, Probability, Probability Distribution, Correlation Analysis, Statistical Inference, Estimation, Simulation and Simulation Software, Sampling (Statistics), Analytical Skills, Spreadsheet Software, Generative AI

      4.9
      Rating, 4.9 out of 5 stars
      ·
      21 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Amazon

      Data Structures and Algorithms

      Skills you'll gain: JUnit, Test Driven Development (TDD), Version Control, Git (Version Control System), GitHub, Performance Tuning, Unit Testing, Data Structures, Development Testing, Algorithms, Program Development, Software Testing, Java, Computer Programming, Programming Principles, Debugging, Scalability

      4.5
      Rating, 4.5 out of 5 stars
      ·
      30 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Fundamentals of Digital Design for VLSI Chip Design

      Skills you'll gain: Field-Programmable Gate Array (FPGA), Application Specific Integrated Circuits, Computational Logic, Computer Architecture, Hardware Design, Electronics Engineering, Electronics, Programmable Logic Controllers, Electronic Systems, Semiconductors, Electronic Components, Data Storage, Data Storage Technologies

      4.6
      Rating, 4.6 out of 5 stars
      ·
      90 reviews

      Intermediate · Course · 1 - 4 Weeks

    • L

      Lund University

      Fundamentals of particle accelerator technology (NPAP MOOC)

      Skills you'll gain: Magnetic Resonance Imaging, Laboratory Equipment, Radiation Protection, Electrical Engineering, Electronics, Medical Equipment and Technology, Physics, Electronic Systems, Equipment Design, Control Systems, Mathematical Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      104 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      Università Bocconi

      A Scientific Approach to Innovation Management

      Skills you'll gain: Data Analysis, Innovation, Strategic Decision-Making, Statistical Analysis, Data-Driven Decision-Making, Regression Analysis, Correlation Analysis, Big Data, Business Metrics, A/B Testing, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      78 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Introduction to Deep Learning

      Skills you'll gain: Deep Learning, Unsupervised Learning, Keras (Neural Network Library), Computer Vision, Image Analysis, Artificial Neural Networks, Generative AI, Natural Language Processing, Python Programming

      Build toward a degree

      3.6
      Rating, 3.6 out of 5 stars
      ·
      31 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Principles of Computing (Part 1)

      Skills you'll gain: Combinatorics, Probability, Programming Principles, Program Development, Computational Thinking, Computer Programming, Object Oriented Programming (OOP), Development Testing, Software Testing, Applied Mathematics, Debugging, Algorithms, Python Programming, Game Design, Simulations

      4.7
      Rating, 4.7 out of 5 stars
      ·
      584 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      N

      Northwestern University

      Modern Robotics, Course 4: Robot Motion Planning and Control

      Skills you'll gain: Control Systems, Artificial Intelligence, Automation, Graph Theory, Algorithms, Virtual Environment, Simulation and Simulation Software, Mathematical Modeling, Data Structures, Linear Algebra

      4.9
      Rating, 4.9 out of 5 stars
      ·
      114 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Bring Your Story to Life – Video Post-Production

      Skills you'll gain: Adobe Premiere, Post-Production, Video Editing, Video Production, Adobe Creative Cloud, Media Production, Editing, Storyboarding, Graphic and Visual Design, Multimedia, Storytelling, Timelines, File Management, Creativity, Quality Assurance

      4.7
      Rating, 4.7 out of 5 stars
      ·
      41 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Introduction to Predictive Modeling

      Skills you'll gain: Time Series Analysis and Forecasting, Predictive Modeling, Regression Analysis, Microsoft Excel, Forecasting, Pivot Tables And Charts, Data Transformation, Trend Analysis, Data Cleansing, Statistical Methods, Performance Metric

      4.8
      Rating, 4.8 out of 5 stars
      ·
      135 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Kinetics: Studying Spacecraft Motion

      Skills you'll gain: Mechanics, Torque (Physics), Engineering Calculations, Engineering Analysis, Differential Equations, Mathematical Modeling, Engineering, Simulation and Simulation Software, Applied Mathematics, Linear Algebra, Physics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      132 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      W

      Wesleyan University

      Data Analysis Tools

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Statistical Software, Correlation Analysis, SAS (Software), Data Analysis, Statistical Methods, Quantitative Research, Probability & Statistics, Analytical Skills, Regression Analysis, Data Management, Statistical Inference

      4.5
      Rating, 4.5 out of 5 stars
      ·
      414 reviews

      Mixed · Course · 1 - 4 Weeks

    Linear Algebra learners also search

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    1…262728…56

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

    • Applied Statistics for Data Analytics: DeepLearning.AI
    • Data Structures and Algorithms: Amazon
    • Fundamentals of Digital Design for VLSI Chip Design: L&T EduTech
    • Fundamentals of particle accelerator technology (NPAP MOOC): Lund University
    • A Scientific Approach to Innovation Management: Università Bocconi
    • Introduction to Deep Learning: University of Colorado Boulder
    • Principles of Computing (Part 1): Rice University
    • Modern Robotics, Course 4: Robot Motion Planning and Control: Northwestern University
    • Bring Your Story to Life – Video Post-Production: University of Colorado Boulder
    • Introduction to Predictive Modeling: University of Minnesota

    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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