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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

      University of Colorado Boulder

      Diseño de Actividades con PhET para la Educación STEM

      Skills you'll gain: Simulation and Simulation Software, Mathematics Education, Interactive Design, Experimentation, Chemistry, Graphing, Physics, Biology, Algebra, Geometry

      5
      Rating, 5 out of 5 stars
      ·
      123 reviews

      Intermediate · Course · 1 - 3 Months

    • P

      Politecnico di Milano

      Modelling and measuring the Energy Transition

      Skills you'll gain: Product Lifecycle Management, Sustainability Reporting, Energy and Utilities, Environmental Science, Mathematical Modeling, Systems Thinking, Operational Analysis, Analysis, Microsoft Excel, Environment, Business Modeling, Accounting, Data Literacy, Open Source Technology

      4.1
      Rating, 4.1 out of 5 stars
      ·
      18 reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      SAS

      Introduction to Statistical Analysis: Hypothesis Testing

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, SAS (Software), Regression Analysis, Exploratory Data Analysis, Statistical Methods, Probability & Statistics, Statistical Modeling, Plot (Graphics), Data Literacy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      166 reviews

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      The STATA OMNIBUS: Regression and Modelling with STATA

      Skills you'll gain: Stata, Regression Analysis, Statistical Modeling, Statistical Analysis, Advanced Analytics, Correlation Analysis, Statistical Visualization, Data Manipulation, Sampling (Statistics), Statistical Hypothesis Testing, Descriptive Statistics

      Beginner · Course · 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)

      3.9
      Rating, 3.9 out of 5 stars
      ·
      22 reviews

      Intermediate · Course · 1 - 3 Months

    • P

      Packt

      Mathematical Foundations and Quantum Mechanics Essentials

      Skills you'll gain: Applied Mathematics, Mathematics and Mathematical Modeling, Linear Algebra, Probability, Mathematical Modeling, Computer Science, Algebra, Probability & Statistics, Statistics, Physics, Mechanics, Emerging Technologies

      4.2
      Rating, 4.2 out of 5 stars
      ·
      22 reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      Splunk Inc.

      Splunk Search Expert 103

      Skills you'll gain: Splunk, Correlation Analysis, Performance Tuning, Data Manipulation, Data Analysis, Data Modeling, Transaction Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      45 reviews

      Beginner · Course · 1 - 4 Weeks

    • N

      Northeastern University

      Industrial Optimization: Models & Linear Programming

      Skills you'll gain: Operations Research, Applied Mathematics, Mathematical Software, Linear Algebra, Mathematical Modeling, Algorithms, Process Optimization, Business Modeling, Complex Problem Solving, Data Analysis Software

      Intermediate · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Data Literacy

      Skills you'll gain: Surveys, Survey Creation, Data Literacy, Data Analysis, Peer Review, Research Design, Statistics, Sampling (Statistics), Regression Analysis, Descriptive Statistics, Research, Probability, Quantitative Research, Statistical Hypothesis Testing, Analytics, Probability Distribution, Analysis, Report Writing, Correlation Analysis, Statistical Inference

      4.6
      Rating, 4.6 out of 5 stars
      ·
      247 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      E

      EDUCBA

      Regression & Forecasting for Data Scientists using Python

      Skills you'll gain: Time Series Analysis and Forecasting, Exploratory Data Analysis, Feature Engineering, Statistical Analysis, Forecasting, Regression Analysis, Python Programming, Data Analysis, Predictive Modeling, Pandas (Python Package), Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Supervised Learning, Data Cleansing, Data Transformation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      39 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Portfolio Diversification using Correlation Matrix

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

      4.5
      Rating, 4.5 out of 5 stars
      ·
      277 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      University of Michigan

      Data Science for Health Research

      Skills you'll gain: Exploratory Data Analysis, Rmarkdown, Statistical Modeling, Tidyverse (R Package), Data Visualization Software, Regression Analysis, R Programming, Statistical Methods, Ggplot2, Data Wrangling, Statistical Inference, Probability & Statistics, Scatter Plots, Data Manipulation, Predictive Analytics, Correlation Analysis, Histogram, Classification And Regression Tree (CART), Data Analysis, Statistical Analysis

      5
      Rating, 5 out of 5 stars
      ·
      9 reviews

      Intermediate · Specialization · 1 - 3 Months

    Linear Algebra learners also search

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    1…323334…55

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

    • Diseño de Actividades con PhET para la Educación STEM: University of Colorado Boulder
    • Modelling and measuring the Energy Transition: Politecnico di Milano
    • Introduction to Statistical Analysis: Hypothesis Testing: SAS
    • The STATA OMNIBUS: Regression and Modelling with STATA: Packt
    • Machine Learning: Concepts and Applications: The University of Chicago
    • Mathematical Foundations and Quantum Mechanics Essentials: Packt
    • Splunk Search Expert 103: Splunk Inc.
    • Industrial Optimization: Models & Linear Programming: Northeastern University
    • Data Literacy: Johns Hopkins University
    • Regression & Forecasting for Data Scientists using Python: EDUCBA

    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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