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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

    • U

      Universidades Anáhuac

      Análisis de datos empresariales con R

      Skills you'll gain: Business Analytics, R Programming, Statistical Analysis, Correlation Analysis, Data Analysis, Exploratory Data Analysis, Statistics, Unsupervised Learning, Advanced Analytics, Data Visualization, Dimensionality Reduction

      Beginner · Course · 1 - 3 Months

    • P

      Pontificia Universidad Católica de Chile

      Conocimiento:Una herramienta para la ingeniería y la gestión

      Skills you'll gain: Dealing With Ambiguity, Decision Making, Communication, Systems Thinking, Deductive Reasoning, Cognitive flexibility, Critical Thinking, Cultural Diversity, Information Architecture, Open Mindset

      Beginner · Course · 1 - 3 Months

    • U

      University of California, Irvine

      데이터 스토리텔링

      Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization, Interactive Data Visualization, Data Visualization Software, Statistical Visualization, Tableau Software, Exploratory Data Analysis, Correlation Analysis, Data Ethics, Data Analysis, Advanced Analytics

      Mixed · Course · 1 - 4 Weeks

    • P

      Packt

      How to Visualize Data with R

      Skills you'll gain: Data Visualization Software, Ggplot2, Plot (Graphics), R Programming, Scatter Plots, Data Analysis, Data Processing, Data Manipulation, Data Import/Export, Regression Analysis, Statistical Programming, Software Installation, Package and Software Management

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      Advanced Semantic Processing

      Skills you'll gain: Natural Language Processing, Semantic Web, Data Processing, Text Mining, Applied Machine Learning, Dimensionality Reduction, Unstructured Data, Artificial Neural Networks, Feature Engineering, Linear Algebra, Unsupervised Learning, Statistical Methods

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Nonlinear Kalman Filters (and Parameter Estimation)

      Skills you'll gain: Matlab, Estimation, Numerical Analysis, Performance Tuning, Mathematical Modeling, Control Systems, Simulation and Simulation Software, Derivatives, System Implementation, Calculus, Computer Programming Tools

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      M

      Maven Analytics

      Complete Visual Guide to Machine Learning

      Skills you'll gain: Unsupervised Learning, Regression Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Statistical Analysis, Data Science, Data Mining, Workflow Management, Machine Learning, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Histogram, Data Quality, Anomaly Detection, Feature Engineering, Dimensionality Reduction, Quality Assurance, Random Forest Algorithm

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science Decisions in Time: Using Causal Information

      Skills you'll gain: Precision Medicine, Clinical Trials, Data Analysis, Data-Driven Decision-Making, Analytics, Decision Tree Learning, Business Analytics, Data Science, Strategic Decision-Making, Regression Analysis, Random Forest Algorithm, Medical Science and Research, Treatment Planning, Personalized Service, A/B Testing, Machine Learning, Online Advertising

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Análisis Exploratorio de Datos con Python

      Skills you'll gain: Exploratory Data Analysis, Scatter Plots, Data Analysis, Correlation Analysis, Box Plots, Pandas (Python Package), Data Visualization, Histogram, Statistical Analysis, Python Programming, Software Installation

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: New
      New
      C

      Coursera Instructor Network

      Quantitative Research Methods: Tools for Data Analysis

      Skills you'll gain: Quantitative Research, Data-Driven Decision-Making, Descriptive Statistics, Data Literacy, Data Analysis, Statistics, Research Design, Statistical Analysis, Microsoft Excel, Research Methodologies, R Programming, Data Presentation, Data Collection, Correlation Analysis, Data Ethics

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      UX: Research Process

      Skills you'll gain: Information Architecture, Design Thinking, User Experience Design, Persona (User Experience), User Research, Usability Testing, Interviewing Skills, Wireframing, Content Creation, Storytelling

      Intermediate · Course · 1 - 3 Months

    • P

      Packt

      Deep Learning - Artificial Neural Networks with TensorFlow

      Skills you'll gain: Tensorflow, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), Image Analysis, Classification And Regression Tree (CART), Supervised Learning, Machine Learning, NumPy

      Intermediate · Course · 1 - 3 Months

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    1…515253…56

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

    • Análisis de datos empresariales con R: Universidades Anáhuac
    • Conocimiento:Una herramienta para la ingeniería y la gestión: Pontificia Universidad Católica de Chile
    • 데이터 스토리텔링: University of California, Irvine
    • How to Visualize Data with R: Packt
    • Advanced Semantic Processing: Packt
    • Nonlinear Kalman Filters (and Parameter Estimation): University of Colorado System
    • Complete Visual Guide to Machine Learning: Maven Analytics
    • Data Science Decisions in Time: Using Causal Information: Johns Hopkins University
    • Análisis Exploratorio de Datos con Python: Coursera Project Network
    • Quantitative Research Methods: Tools for Data Analysis: Coursera Instructor 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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