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  • Linear Algebra

Linear Algebra Courses

Linear Algebra courses can help you learn vector spaces, matrix operations, eigenvalues, and linear transformations. You can build skills in solving systems of equations, performing dimensionality reduction, and applying concepts to data analysis and machine learning. Many courses introduce tools such as MATLAB, Python libraries like NumPy, and software for computational mathematics, that support implementing algorithms and visualizing data in various applications, including artificial intelligence and AI-driven models.


Popular Linear Algebra Courses and Certifications


  • C

    Coursera

    Portfolio Diversification using Correlation Matrix

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

    4.5
    Rating, 4.5 out of 5 stars
    ·
    290 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    S

    Splunk Inc.

    Splunk Search Expert

    Skills you'll gain: Splunk, Correlation Analysis, Data Transformation, Data Manipulation, Data Visualization Software, Performance Tuning, Dashboard, Data Analysis Expressions (DAX), Statistical Analysis, Data Processing, Security Information and Event Management (SIEM), Data Analysis, Data Synthesis, Data Modeling, Ad Hoc Reporting, Time Series Analysis and Forecasting, Business Intelligence, Big Data, Data Science, Business Analytics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    273 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    The Complete Quantum Computing Course for Beginners

    Skills you'll gain: Python Programming, Algorithms, Computer Programming, Theoretical Computer Science, Linear Algebra, Mathematics and Mathematical Modeling, Computer Science, Algebra, Object Oriented Programming (OOP), IBM Cloud, Scripting, Probability, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Mathematical Modeling, Data Structures, Data Manipulation, Probability & Statistics, Applied Mathematics, Software Installation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    85 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    T

    Tecnológico de Monterrey

    4.- El Cálculo - Otros Modelos

    Skills you'll gain: Advanced Mathematics, Calculus, Applied Mathematics, Mathematical Software, Mathematical Modeling, Mathematical Theory & Analysis, Digital pedagogy, Algebra, Graphing, Derivatives, Graphical Tools

    4.7
    Rating, 4.7 out of 5 stars
    ·
    210 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Enterprise Model Deployment

    Skills you'll gain: Model Deployment, Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), PySpark, IBM Cloud, Jupyter, Docker (Software), Machine Learning, Data Science, Python Programming, Scalability, Design Thinking

    4.3
    Rating, 4.3 out of 5 stars
    ·
    59 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    É

    École Polytechnique

    Mécanique quantique

    Skills you'll gain: Physics, Mechanics, Semiconductors, Linear Algebra, electromagnetics, Probability, Calculus, Differential Equations, Advanced Mathematics, Mathematical Modeling, Experimentation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    154 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Introduction to Data Science and scikit-learn in Python

    Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, NumPy, Classification Algorithms, Data Preprocessing, Data Analysis, Python Programming, Regression Analysis, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Data Science, Statistical Hypothesis Testing, Supervised Learning, Statistical Methods, Data Structures

    3.7
    Rating, 3.7 out of 5 stars
    ·
    58 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Maryland, College Park

    Combining and Analyzing Complex Data

    Skills you'll gain: Statistical Analysis, Data Analysis Software, STATA (Software), Data Integration, Data Ethics, Stata, R Programming, Sampling (Statistics), Statistical Modeling, Descriptive Statistics, Regression Analysis, Logistic Regression, Informed Consent

    4.2
    Rating, 4.2 out of 5 stars
    ·
    69 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SAS

    Regression Modeling Fundamentals

    Skills you'll gain: Logistic Regression, Predictive Modeling, SAS (Software), Statistical Modeling, Regression Analysis, Model Evaluation, Statistical Analysis, Data Analysis, Model Deployment, Data Preprocessing, Statistical Methods, Probability & Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    53 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    F

    Fractal Analytics

    Quantum Computing For Everyone - An Introduction

    Skills you'll gain: Cloud Computing, Information Technology, Cybersecurity, Linear Algebra, Critical Thinking, Simulations

    4.1
    Rating, 4.1 out of 5 stars
    ·
    107 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Predictive Modeling, Model Fitting, and Regression Analysis

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Regression Analysis, Decision Tree Learning, Supervised Learning, Data Modeling, Data Analysis, Logistic Regression, Descriptive Analytics, Forecasting, Machine Learning, Model Evaluation, Classification Algorithms, Unsupervised Learning, Statistical Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    73 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    H

    H2O.ai

    Practical Machine Learning on H2O

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Deep Learning, Autoencoders, Anomaly Detection, Applied Machine Learning, Machine Learning, Supervised Learning, Decision Tree Learning, Predictive Modeling, Classification Algorithms, Data Preprocessing, Random Forest Algorithm, Data Manipulation, Feature Engineering, Dimensionality Reduction

    4.5
    Rating, 4.5 out of 5 stars
    ·
    74 reviews

    Intermediate · Course · 1 - 3 Months

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1…313233…63

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

  • Portfolio Diversification using Correlation Matrix: Coursera
  • Splunk Search Expert: Splunk Inc.
  • The Complete Quantum Computing Course for Beginners: Packt
  • 4.- El Cálculo - Otros Modelos: Tecnológico de Monterrey
  • AI Workflow: Enterprise Model Deployment: IBM
  • Mécanique quantique: École Polytechnique
  • Introduction to Data Science and scikit-learn in Python: LearnQuest
  • Combining and Analyzing Complex Data: University of Maryland, College Park
  • Regression Modeling Fundamentals: SAS
  • Quantum Computing For Everyone - An Introduction : Fractal Analytics

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)

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