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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
      G

      Google Cloud

      Acelere a troca de conhecimento com o Agentspace

      Skills you'll gain: Google Workspace, OAuth, Data Access, Productivity Software, Enterprise Application Management, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Application Programming Interface (API), AWS Identity and Access Management (IAM), Information Architecture, Performance Metric, Generative AI, Data Security

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      NumPy, Matplotlib & Pandas – Data Science Prerequisites

      Skills you'll gain: Matplotlib, Pandas (Python Package), NumPy, Data Visualization Software, Scatter Plots, Data Manipulation, Scikit Learn (Machine Learning Library), Data Science, Statistical Methods, Data Analysis Software, Python Programming, Machine Learning, Probability Distribution, Classification And Regression Tree (CART), Linear Algebra

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Advanced Statistical Techniques for Data Science

      Skills you'll gain: Machine Learning Algorithms, Statistical Analysis, Bayesian Statistics, Data Visualization, Statistical Inference, Data Analysis, Data Presentation, Regression Analysis, Data Cleansing, Applied Machine Learning, Analytics, Machine Learning, Statistical Methods, R Programming, Data Science, Statistical Modeling, Data Manipulation, Data Validation, Feature Engineering, Exploratory Data Analysis

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      38 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Algebra: Elementary to Advanced

      Skills you'll gain: Algebra, Mathematical Modeling, Graphing, Arithmetic, Advanced Mathematics, Applied Mathematics, General Mathematics, Mathematical Theory & Analysis, Analytical Skills, Probability & Statistics, Geometry

      4.8
      Rating, 4.8 out of 5 stars
      ·
      731 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      B

      Board Infinity

      Job & Exam Aptitude Mastery: Reasoning | DI | Verbal | Quant

      Skills you'll gain: Problem Solving, Logical Reasoning, Decision Making, Vocabulary, Analytical Skills, Deductive Reasoning, Critical Thinking, Arithmetic, English Language, Data Analysis, Grammar, Estimation, Literacy, Complex Problem Solving, Analysis, Business Analytics, Learning Strategies, Applied Mathematics, Algebra, Systems Of Measurement

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Advanced ML Algorithms & Unsupervised Learning

      Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Deep Learning, Random Forest Algorithm, Machine Learning Algorithms, Machine Learning, Decision Tree Learning, Classification And Regression Tree (CART), Feature Engineering, Supervised Learning, Statistical Machine Learning, Predictive Modeling, Artificial Intelligence, Exploratory Data Analysis

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Politecnico di Milano

      Derivatives: a guide to calculation

      Skills you'll gain: ChatGPT, Calculus, Derivatives, Mathematical Software, AI Personalization, Applied Mathematics, Mathematics Education, Machine Learning Algorithms, Algebra, Geometry, Mathematical Theory & Analysis, Graphing

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors

      Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Graph Theory, Geometry, Applied Machine Learning, Markov Model, Probability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      65 reviews

      Mixed · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Agentspace로 더 신속하게 지식 교환하기

      Skills you'll gain: Data Store, Productivity Software, Data Access, Data Storage, OAuth, Generative AI Agents, Enterprise Application Management, Application Deployment, Information Architecture, Application Programming Interface (API), AI Personalization, AWS Identity and Access Management (IAM)

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Statistics & Mathematics for Data Science & Data Analytics

      Skills you'll gain: Descriptive Statistics, Probability & Statistics, Statistical Hypothesis Testing, Statistics, Data Analysis, Statistical Analysis, Regression Analysis, Analytics, Statistical Methods, Probability, Data Science, Statistical Modeling, Data-Driven Decision-Making, Statistical Inference, Probability Distribution, Predictive Analytics, Applied Machine Learning, Correlation Analysis

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Acelera el intercambio de conocimientos con Agentspace

      Skills you'll gain: Productivity Software, Collaborative Software, OAuth, Google Cloud Platform, Generative AI Agents, Application Deployment, Enterprise Application Management, Data Integration, Application Programming Interface (API), Information Architecture, Agentic systems, Identity and Access Management, Authentications, Data Store

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Politecnico di Milano

      Le Derivate: come si calcolano

      Skills you'll gain: Calculus, Applied Mathematics, Derivatives, Algebra, Mathematical Theory & Analysis, Geometry, Graphical Tools, Graphing

      Intermediate · Course · 1 - 3 Months

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

    • Acelere a troca de conhecimento com o Agentspace: Google Cloud
    • NumPy, Matplotlib & Pandas – Data Science Prerequisites: Packt
    • Advanced Statistical Techniques for Data Science: Illinois Tech
    • Algebra: Elementary to Advanced: Johns Hopkins University
    • Job & Exam Aptitude Mastery: Reasoning | DI | Verbal | Quant: Board Infinity
    • Advanced ML Algorithms & Unsupervised Learning: Packt
    • Derivatives: a guide to calculation: Politecnico di Milano
    • Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors: Johns Hopkins University
    • Agentspace로 더 신속하게 지식 교환하기: Google Cloud
    • Statistics & Mathematics for Data Science & Data Analytics: Packt

    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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