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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 Trial
      Free Trial
      S

      SAS

      Regression Modeling Fundamentals

      Skills you'll gain: Predictive Modeling, Predictive Analytics, SAS (Software), Statistical Modeling, Regression Analysis, Statistical Analysis, Data Analysis, Statistical Methods, Probability & Statistics, Statistical Hypothesis Testing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      53 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Elasticsearch 8 and the Elastic Stack: In-Depth and Hands-On

      Skills you'll gain: Kibana, Data Import/Export, Restful API, Data Mapping, Data Visualization Software, Data Integration, Query Languages, Time Series Analysis and Forecasting, Dashboard, Data Management, Apache Kafka, Histogram, Information Architecture, NoSQL, Performance Tuning, Software Installation, Amazon Web Services, Security Information and Event Management (SIEM), System Monitoring, Data Maintenance

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Robotic Mapping and Trajectory Generation

      Skills you'll gain: Data Mapping, Control Systems, Real-Time Operating Systems, Global Positioning Systems, Simulations, Image Analysis, Algorithms, Linear Algebra

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: Feature Engineering and Bias Detection

      Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Text Mining, Applied Machine Learning, Data Transformation, Anomaly Detection, Exploratory Data Analysis, Natural Language Processing, Quality Assurance, Data Validation, Machine Learning Algorithms, Data Visualization

      4.4
      Rating, 4.4 out of 5 stars
      ·
      72 reviews

      Advanced · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      A Second Brain with Obsidian

      Skills you'll gain: Journals, Organizational Skills, Document Management, Information Architecture, Content Management, Network Analysis, System Configuration

      3.3
      Rating, 3.3 out of 5 stars
      ·
      23 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • É

      École Polytechnique Fédérale de Lausanne

      Mécanique Lagrangienne

      Skills you'll gain: Mechanics, Vibrations, Advanced Mathematics, Physics, Differential Equations, Linear Algebra, Calculus, Mathematical Modeling, Applied Mathematics, Experimentation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      36 reviews

      Mixed · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Mining Quality Prediction Using Machine & Deep Learning

      Skills you'll gain: Regression Analysis, Predictive Modeling, Exploratory Data Analysis, Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Decision Tree Learning, Statistical Analysis, Data Analysis, Test Data, Artificial Neural Networks, Data Import/Export, Pandas (Python Package), Software Visualization

      4.8
      Rating, 4.8 out of 5 stars
      ·
      66 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • E

      EIT Digital

      Approximation Algorithms

      Skills you'll gain: Algorithms, Graph Theory, Computational Thinking, Applied Mathematics, Theoretical Computer Science, Linear Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      33 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Codio

      Data Analysis in R with RStudio & Tidyverse

      Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Correlation Analysis, Tidyverse (R Package), Data Analysis, Regression Analysis, Probability & Statistics, Statistical Methods, Data Import/Export, Statistical Analysis, R Programming, Data Wrangling

      4.3
      Rating, 4.3 out of 5 stars
      ·
      19 reviews

      Beginner · Course · 1 - 3 Months

    • E

      EIT Digital

      Automated Reasoning: satisfiability

      Skills you'll gain: Computational Logic, Deductive Reasoning, Combinatorics, Logical Reasoning, Computational Thinking, Mathematical Modeling, Operations Research, Theoretical Computer Science, Applied Mathematics, Algorithms, Linear Algebra, Verification And Validation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      44 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Creating a Portfolio Using Weebly

      Skills you'll gain: Information Architecture, Content Management Systems, Web Content, Web Applications, Web Design and Development, System Configuration

      4.5
      Rating, 4.5 out of 5 stars
      ·
      60 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Science Methods for Quality Improvement

      Skills you'll gain: Process Capability, Sampling (Statistics), Correlation Analysis, Statistical Inference, Probability Distribution, Statistical Visualization, R Programming, Statistical Process Controls, Statistical Hypothesis Testing, Descriptive Statistics, Data Visualization, Statistical Methods, Statistical Software, Statistics, Scientific Visualization, Data Analysis, Statistical Analysis, Systems Analysis, Data Analysis Software, Quality Control

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      49 reviews

      Intermediate · Specialization · 3 - 6 Months

    Linear Algebra learners also search

    Linear Programming
    Linear Regression
    Predictive Modeling
    Statistical Modeling
    Predictive Analytics
    Data Modeling
    Statistical Analysis
    Beginner Predictive Analytics
    1…373839…56

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

    • Regression Modeling Fundamentals: SAS
    • Elasticsearch 8 and the Elastic Stack: In-Depth and Hands-On: Packt
    • Robotic Mapping and Trajectory Generation: University of Colorado Boulder
    • AI Workflow: Feature Engineering and Bias Detection: IBM
    • A Second Brain with Obsidian: Coursera Project Network
    • Mécanique Lagrangienne: École Polytechnique Fédérale de Lausanne
    • Mining Quality Prediction Using Machine & Deep Learning: Coursera Project Network
    • Approximation Algorithms: EIT Digital
    • Data Analysis in R with RStudio & Tidyverse: Codio
    • Automated Reasoning: satisfiability: EIT Digital

    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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