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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
      N

      Northeastern University

      Machine Learning for Engineers: Algorithms and Applications

      Skills you'll gain: Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Machine Learning, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Algorithms, Predictive Modeling, Dimensionality Reduction

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U
      S

      Multiple educators

      Sustainable and Circular Product Development

      Skills you'll gain: Packaging and Labeling, Human Centered Design, Environmental Regulations, Design Thinking, Product Development, Product Design, Business Leadership, Reverse Logistics, Waste Minimization, Corporate Sustainability, Environmental Laws, Product Lifecycle Management, Industrial Design, Environmental Engineering, Process Engineering, Design Strategies, Logistics, Sustainability Reporting, Environmental Science, Material Handling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      8 reviews

      Intermediate · Specialization · 3 - 6 Months

    • T

      The University of Chicago

      Machine Learning: Concepts and Applications

      Skills you'll gain: Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Statistical Methods, Tensorflow, Feature Engineering, Artificial Neural Networks, Pandas (Python Package)

      4
      Rating, 4 out of 5 stars
      ·
      23 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      T

      The Chinese University of Hong Kong

      Structural Equation Model and its Applications | 结构方程模型及其应用 (粤语)

      Skills you'll gain: Statistical Modeling, Statistical Analysis, SPSS, SAS (Software), Regression Analysis, Analysis, Correlation Analysis, Statistical Methods, Data Analysis Software, Data Modeling

      4.8
      Rating, 4.8 out of 5 stars
      ·
      25 reviews

      Mixed · Course · 3 - 6 Months

    • Status: New
      New
      K

      Korea Advanced Institute of Science and Technology(KAIST)

      Math for AI Beginner Part 2 : Vector Calulus

      Skills you'll gain: Integral Calculus, Applied Mathematics, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Calculus, Mathematics and Mathematical Modeling, Mathematical Modeling, Advanced Mathematics, Machine Learning

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Foundations of Elasticsearch

      Skills you'll gain: Restful API, Data Mapping, Query Languages, Data Management, Information Architecture, NoSQL, Data Import/Export, Software Installation, Analytics, Scalability, Real Time Data

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Introduction to Relational Databases

      Skills you'll gain: Relational Databases, Database Management, Database Systems, Database Theory, Databases, Database Design, SQL, Data Integrity, Query Languages, Data Modeling, Data Manipulation, Authorization (Computing)

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      28 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      H

      Howard University

      Business Problem Solving

      Skills you'll gain: Regression Analysis, Correlation Analysis, Spreadsheet Software, Business Analysis, Data-Driven Decision-Making, Business Modeling, Business Analytics, Microsoft Excel, Data Modeling, Statistical Analysis, Analysis, Financial Modeling, Forecasting, Risk Analysis, Data Analysis, Product Assortment, Complex Problem Solving, Predictive Modeling, Investment Management, Process Optimization

      4.7
      Rating, 4.7 out of 5 stars
      ·
      28 reviews

      Intermediate · Specialization · 1 - 3 Months

    • C

      Coursera Project Network

      Aprendiendo Python con textos, números y ecuaciones

      Skills you'll gain: Program Development, Python Programming, Jupyter, Algorithms, Computer Programming, Scripting, Mathematical Modeling, Linear Algebra, Applied Mathematics, Scripting Languages

      4.8
      Rating, 4.8 out of 5 stars
      ·
      36 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Graduate Admission Prediction with Pyspark ML

      Skills you'll gain: Data Cleansing, PySpark, Data Processing, Pandas (Python Package), Applied Machine Learning, Predictive Modeling, Regression Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      34 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Foundations of Autonomous Systems

      Skills you'll gain: Computational Logic, Mathematical Modeling, Theoretical Computer Science, System Requirements, Verification And Validation, Agentic systems, Software Systems, Automation, Mechanical Engineering, Systems Analysis, Systems Engineering, Simulations, Applied Mathematics, Control Systems, Linear Algebra, Differential Equations, Hardware Architecture, Computer Science, Artificial Intelligence, Algorithms

      Build toward a degree

      3.6
      Rating, 3.6 out of 5 stars
      ·
      19 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Foundations of Data Science and Machine Learning with Python

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

      Intermediate · Course · 1 - 3 Months

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    1…414243…55

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

    • Machine Learning for Engineers: Algorithms and Applications: Northeastern University
    • Sustainable and Circular Product Development: University of Colorado Boulder
    • Machine Learning: Concepts and Applications: The University of Chicago
    • Structural Equation Model and its Applications | 结构方程模型及其应用 (粤语): The Chinese University of Hong Kong
    • Math for AI Beginner Part 2 : Vector Calulus: Korea Advanced Institute of Science and Technology(KAIST)
    • Foundations of Elasticsearch: Packt
    • Introduction to Relational Databases: Illinois Tech
    • Business Problem Solving: Howard University
    • Aprendiendo Python con textos, números y ecuaciones: Coursera Project Network
    • Graduate Admission Prediction with Pyspark ML: Coursera Project Network

    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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