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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

    • J

      Johns Hopkins University

      CUDA Advanced Libraries

      Skills you'll gain: Artificial Neural Networks, Deep Learning, Software Development, Machine Learning Methods, Image Analysis, Linear Algebra, Numerical Analysis, Data Processing, Data Structures, Performance Tuning, Data Transformation, Algorithms

      3
      Rating, 3 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      É

      École normale supérieure

      Statistical Mechanics: Algorithms and Computations

      Skills you'll gain: Sampling (Statistics), Physics, Simulations, Statistical Programming, Computational Logic, Numerical Analysis, Markov Model, Mechanics, Quantitative Research, Algorithms, Programming Principles, Applied Mathematics, Linear Algebra, Integral Calculus

      4.8
      Rating, 4.8 out of 5 stars
      ·
      264 reviews

      Mixed · Course · 1 - 3 Months

    • C

      Codio

      Data Science and Analysis Tools - from Jupyter to R Markdown

      Skills you'll gain: Rmarkdown, Plot (Graphics), Box Plots, Descriptive Statistics, Scatter Plots, Histogram, Jupyter, Matplotlib, Data Presentation, Ggplot2, Statistical Visualization, Statistical Hypothesis Testing, Correlation Analysis, Data Visualization Software, Dashboard, Tidyverse (R Package), Data Analysis, Interactive Data Visualization, Data Import/Export, Data Visualization

      3.9
      Rating, 3.9 out of 5 stars
      ·
      22 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Leeds

      An Introduction to Logic for Computer Science

      Skills you'll gain: Logical Reasoning, Deductive Reasoning, Computational Logic, Computational Thinking, Algorithms, Theoretical Computer Science, Artificial Intelligence

      4.7
      Rating, 4.7 out of 5 stars
      ·
      24 reviews

      Beginner · Course · 1 - 4 Weeks

    • A

      Alberta Machine Intelligence Institute

      Data for Machine Learning

      Skills you'll gain: Feature Engineering, Data Quality, Data Processing, Supervised Learning, Data Validation, Data Cleansing, Data Transformation, Verification And Validation, Applied Machine Learning, Machine Learning, Unsupervised Learning, Machine Learning Algorithms, Exploratory Data Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      98 reviews

      Intermediate · Course · 1 - 4 Weeks

    • A

      Arm

      Introduction to Microprocessors

      Skills you'll gain: Microarchitecture, Computer Architecture, Hardware Architecture, Computer Hardware, Computer Systems, System Programming, Embedded Systems, Data Storage, Computer Programming, C (Programming Language)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      43 reviews

      Beginner · Course · 1 - 3 Months

    • 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
      ·
      85 reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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
      ·
      106 reviews

      Beginner · Course · 1 - 3 Months

    • R

      Rice University

      Physics of Waves and Optics

      Skills you'll gain: Physics, Mechanics, Engineering Calculations, Vibrations, Applied Mathematics, Physical Science, Trigonometry, Mathematical Modeling, Advanced Mathematics, Differential Equations, Linear Algebra, Calculus, Integral Calculus

      4.9
      Rating, 4.9 out of 5 stars
      ·
      12 reviews

      Intermediate · Specialization · 1 - 3 Months

    • U

      Universidade de São Paulo

      Mapas conceituais para aprender e colaborar

      Skills you'll gain: Lifelong Learning, Willingness To Learn, Learning Strategies, Peer Review, Collaborative Software, Collaboration, Concept Of Operations, Information Architecture, Critical Thinking, Constructive Feedback, Education Software and Technology, Organizational Skills, Technical Communication

      4.9
      Rating, 4.9 out of 5 stars
      ·
      406 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado System

      Mathematical Foundations for Cryptography

      Skills you'll gain: Cryptography, Arithmetic, Algorithms, Applied Mathematics, Probability, Computer Science

      4.6
      Rating, 4.6 out of 5 stars
      ·
      329 reviews

      Beginner · Course · 1 - 4 Weeks

    • W

      Wesleyan University

      Regression Modeling in Practice

      Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Data Analysis, Correlation Analysis, SAS (Software), Scatter Plots, Statistical Programming, Predictive Modeling, Statistical Hypothesis Testing, Plot (Graphics)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      274 reviews

      Mixed · Course · 1 - 4 Weeks

    Linear Algebra learners also search

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    1…293031…55

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

    • CUDA Advanced Libraries: Johns Hopkins University
    • Statistical Mechanics: Algorithms and Computations: École normale supérieure
    • Data Science and Analysis Tools - from Jupyter to R Markdown: Codio
    • An Introduction to Logic for Computer Science: University of Leeds
    • Data for Machine Learning: Alberta Machine Intelligence Institute
    • Introduction to Microprocessors: Arm
    • Fundamentals of Digital Design for VLSI Chip Design: L&T EduTech
    • Precalculus: Periodic Functions: Johns Hopkins University
    • Physics of Waves and Optics: Rice University
    • Mapas conceituais para aprender e colaborar: Universidade de São Paulo

    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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