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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

    • M

      Microsoft

      Designing for User Experience

      Skills you'll gain: Storyboarding, User Research, Information Architecture, User Experience Design, Persona (User Experience), Design Research, Design Thinking, User Centered Design, Wireframing, Usability Testing, Prototyping, Innovation, Creativity

      4.6
      Rating, 4.6 out of 5 stars
      ·
      65 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      P

      Peking University

      医学统计学与SPSS软件(基础篇)

      Skills you'll gain: Statistical Hypothesis Testing, SPSS, Statistical Analysis, Statistical Methods, Sampling (Statistics), Descriptive Statistics, Correlation Analysis, Regression Analysis, Probability & Statistics, Statistical Inference, Data Analysis Software

      4.6
      Rating, 4.6 out of 5 stars
      ·
      152 reviews

      Mixed · Course · 1 - 3 Months

    • R

      Rice University

      Physics 101 - Energy and Momentum

      Skills you'll gain: Mechanics, Physics, Structural Analysis, Mechanical Engineering, Calculus, Engineering Calculations, Engineering Analysis, Physical Science, Mathematical Modeling, Trigonometry

      4.5
      Rating, 4.5 out of 5 stars
      ·
      40 reviews

      Intermediate · Course · 1 - 4 Weeks

    • N

      Northwestern University

      Modern Robotics, Course 5: Robot Manipulation and Wheeled Mobile Robots

      Skills you'll gain: Machine Controls, Control Systems, Mechanics, Automation, Mathematical Modeling, Torque (Physics), Engineering Analysis, Linear Algebra, Estimation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      93 reviews

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      Prerequisites and Advanced Machine Learning for NLP

      Skills you'll gain: Matplotlib, Linear Algebra, Data Visualization, Machine Learning Algorithms, Deep Learning, NumPy, Seaborn, Pandas (Python Package), Python Programming, Machine Learning, Artificial Neural Networks, Natural Language Processing, Supervised Learning, Regression Analysis, Data Manipulation, Data Structures

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      P

      Peking University

      离散数学概论 Discrete Mathematics Generality

      Skills you'll gain: Theoretical Computer Science, Computational Logic, Graph Theory, Logical Reasoning, Geospatial Information and Technology, Computational Thinking, Spatial Analysis, Deductive Reasoning, Network Analysis, General Mathematics, Algebra, Mathematics and Mathematical Modeling, Information Technology, Computer Science, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      278 reviews

      Beginner · Course · 3 - 6 Months

    • Status: Free
      Free
      N

      National Taiwan University

      機器人學一 (Robotics (1))

      Skills you'll gain: Automation Engineering, Mechanical Engineering, Linear Algebra, Engineering Calculations, Trigonometry, Applied Mathematics, Control Systems, Mathematical Modeling, Spatial Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      62 reviews

      Beginner · Course · 1 - 3 Months

    • E

      Emory University

      Math for MBA and GMAT Prep

      Skills you'll gain: Regression Analysis, Data Visualization, Business Mathematics, Descriptive Statistics, Microsoft Excel, Statistics, Business Analytics, Excel Formulas, Algebra, Calculus, Arithmetic

      4.3
      Rating, 4.3 out of 5 stars
      ·
      43 reviews

      Beginner · Course · 1 - 3 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
      ·
      25 reviews

      Beginner · 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

    • I

      IBM

      Specialized Models: Time Series and Survival Analysis

      Skills you'll gain: Time Series Analysis and Forecasting, Deep Learning, Statistical Analysis, Predictive Modeling, Statistical Methods, Forecasting, Jupyter, Data Cleansing, Applied Machine Learning, Data Transformation, Exploratory Data Analysis, Pandas (Python Package)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      133 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Designing for User Experience: Microsoft
    • 医学统计学与SPSS软件(基础篇): Peking University
    • Physics 101 - Energy and Momentum: Rice University
    • Modern Robotics, Course 5: Robot Manipulation and Wheeled Mobile Robots : Northwestern University
    • Prerequisites and Advanced Machine Learning for NLP: Packt
    • 离散数学概论 Discrete Mathematics Generality: Peking University
    • 機器人學一 (Robotics (1)): National Taiwan University
    • Math for MBA and GMAT Prep: Emory University
    • An Introduction to Logic for Computer Science: University of Leeds
    • Introduction to Microprocessors: Arm

    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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