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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

      UBITS

      Construye un curso virtual desde cero

      Skills you'll gain: Developing Training Materials, Learning Management Systems, Needs Assessment, Train The Trainer, Goal Setting, Virtual Environment, Information Architecture, Instructional Design, Organizational Skills, Planning

      Intermediate · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Random Processes

      Skills you'll gain: Probability & Statistics, Probability Distribution, Simulations, Statistical Modeling, Estimation, Correlation Analysis, Engineering Analysis, Statistical Analysis, Reliability, Engineering, Spatial Analysis

      Mixed · Course · 1 - 4 Weeks

    • U

      University of Washington

      머신 러닝: 회귀 모델

      Skills you'll gain: Regression Analysis, Supervised Learning, Predictive Modeling, Statistical Modeling, Statistical Methods, Machine Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Feature Engineering, Linear Algebra, NumPy, Algorithms

      Mixed · Course · 1 - 3 Months

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

      Packt

      Advanced Data Structures and Algorithms

      Skills you'll gain: Data Structures, Algorithms, Programming Principles, Computer Programming, Computational Thinking, Performance Tuning

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Designing Larger Python Programs for Data Science

      Skills you'll gain: Python Programming, Simulations, Debugging, Statistical Methods, Pandas (Python Package), Program Development, Unit Testing, Test Case, Data Science, Development Testing, Software Design, Computational Thinking, Integration Testing, Computer Programming, Data Manipulation, Data Structures, Data Cleansing, Data Analysis, Software Engineering, Systems Integration

      Beginner · Course · 1 - 4 Weeks

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

      Simplilearn

      Supervised Learning Regression Classification Clustering

      Skills you'll gain: Supervised Learning, Data Modeling, Data Analysis, Regression Analysis, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Predictive Modeling, Predictive Analytics, Random Forest Algorithm, Bayesian Statistics

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Simple Parallel Coordinates Plot using d3 js

      Skills you'll gain: Data Visualization Software, Data Presentation, Interactive Data Visualization, Data Literacy, Visualization (Computer Graphics)

      Intermediate · Guided Project · Less Than 2 Hours

    • P

      Packt

      Regression Analysis for Statistics & Machine Learning in R

      Skills you'll gain: Regression Analysis, Data Cleansing, R Programming, Applied Machine Learning, Statistical Analysis, Data Manipulation, Statistical Machine Learning, Classification And Regression Tree (CART), Tidyverse (R Package), Advanced Analytics, Statistical Modeling, Random Forest Algorithm, Data Transformation, Statistical Methods, Predictive Modeling, Exploratory Data Analysis, Feature Engineering, Machine Learning, Dimensionality Reduction

      Intermediate · Course · 1 - 3 Months

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

      Indian Institute of Technology Guwahati

      Designing User Interfaces and User Interactions

      Skills you'll gain: User Experience, Information Architecture, User Experience Design, Interaction Design, User Flows, Usability, User Centered Design, User Interface (UI) Design, Wireframing, User Research, Conceptual Design, Persona Development, Mockups, Ideation

      Beginner · Course · 1 - 3 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, Strategic Decision-Making, Decision Making, Vocabulary, Analytical Skills, Deductive Reasoning, Critical Thinking, Arithmetic, English Language, Data Analysis, Grammar, Estimation, Literacy, Complex Problem Solving, Analysis, Data Synthesis, Applied Mathematics, Algebra, Systems Of Measurement

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Диверсификация портфеля с помощью корреляционной матрицы

      Skills you'll gain: Correlation Analysis, Portfolio Management, Investments, Financial Analysis, Asset Management, Financial Market, Risk Analysis

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Job Shop Scheduling Using MILP Optimization on RStudio

      Skills you'll gain: R Programming, Analysis, Mathematical Software

      Intermediate · Guided Project · Less Than 2 Hours

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    1…515253…55

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

    • Construye un curso virtual desde cero: UBITS
    • Random Processes: Johns Hopkins University
    • 머신 러닝: 회귀 모델: University of Washington
    • Advanced Data Structures and Algorithms: Packt
    • Designing Larger Python Programs for Data Science: Duke University
    • Supervised Learning Regression Classification Clustering: Simplilearn
    • Simple Parallel Coordinates Plot using d3 js: Coursera Project Network
    • Regression Analysis for Statistics & Machine Learning in R: Packt
    • Designing User Interfaces and User Interactions: Indian Institute of Technology Guwahati
    • Job & Exam Aptitude Mastery: Reasoning | DI | Verbal | Quant: Board Infinity

    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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