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Library Courses

Library courses can help you learn cataloging, reference services, information literacy, and digital resource management. You can build skills in research techniques, data organization, and community outreach. Many courses introduce tools like integrated library systems and online databases, that support managing collections and providing access to information.


Popular Library Courses and Certifications


  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Machine Learning Algorithms with Python in Business Analytics

    Skills you'll gain: Classification Algorithms, Business Analytics, Data Preprocessing, Regression Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Unsupervised Learning, Business Intelligence, Predictive Modeling, Machine Learning, Python Programming, Decision Tree Learning, Supervised Learning, Model Evaluation

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    40 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Interactivity with JavaScript and jQuery

    Skills you'll gain: Javascript and jQuery, jQuery, Scripting, Scripting Languages, Javascript, UI Components, Web Development Tools, Game Design, Object Oriented Programming (OOP), Event-Driven Programming, Animations

    4.8
    Rating, 4.8 out of 5 stars
    ·
    64 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    PyTorch: Advanced Architectures and Deployment

    Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Generative AI, Deep Learning, Transfer Learning, MLOps (Machine Learning Operations), Convolutional Neural Networks, Software Visualization, Model Evaluation, Computer Vision

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Deep Learning with PyTorch : Generative Adversarial Network

    Skills you'll gain: Generative Adversarial Networks (GANs), PyTorch (Machine Learning Library), Deep Learning, Convolutional Neural Networks, Image Analysis, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    99 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Optimize TensorFlow Models For Deployment with TensorRT

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Applied Machine Learning, Deep Learning, Performance Tuning, Convolutional Neural Networks, Model Deployment, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    76 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    E

    EDUCBA

    Regression & Forecasting for Data Scientists using Python

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

    4.5
    Rating, 4.5 out of 5 stars
    ·
    43 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Scrimba

    Frontend Developer Interview Practice

    Skills you'll gain: Pseudocode, Responsive Web Design, Computational Thinking, LinkedIn, Cascading Style Sheets (CSS), Front-End Web Development, React.js, HTML and CSS, Debugging, Algorithms, Interviewing Skills, UI Components, Web Design and Development, Professional Development, Programming Principles, Jest (JavaScript Testing Framework), JavaScript Frameworks, Web Development Tools, Web Development, Software Development

    4.6
    Rating, 4.6 out of 5 stars
    ·
    41 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Foundations of Machine Learning

    Skills you'll gain: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Classification Algorithms, Forecasting, Decision Tree Learning, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling

    4.6
    Rating, 4.6 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Introduction to Machine Learning in Sports Analytics

    Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Model Evaluation, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Analytics, Decision Tree Learning, Machine Learning, Logistic Regression, Data Analysis, Classification Algorithms, Data Preprocessing, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    N

    NIIT

    Building User Interfaces Using Functional React Components

    Skills you'll gain: React.js, Test Case, JavaScript Frameworks, Unit Testing, UI Components, Software Testing, Development Testing, Context Management, Data Sharing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Machine Learning, Visual Recognition and NLP

    Skills you'll gain: Model Evaluation, Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Convolutional Neural Networks, Computer Vision, Data Science, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    90 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft JavaScript Starter Kit

    Skills you'll gain: Responsive Web Design, Git (Version Control System), Web Development, Cascading Style Sheets (CSS), Data Persistence, React.js, Version Control, Web Development Tools, Performance Tuning, Full-Stack Web Development, GitHub, Event-Driven Programming, Application Design, Game Design, Webpack, Software Testing, Unit Testing, Software Development, Development Environment, Javascript

    4.1
    Rating, 4.1 out of 5 stars
    ·
    14 reviews

    Beginner · Professional Certificate · 3 - 6 Months

Searches related to library

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1…323334…68

In summary, here are 10 of our most popular library courses

  • Machine Learning Algorithms with Python in Business Analytics: University of Illinois Urbana-Champaign
  • Interactivity with JavaScript and jQuery: University of California, Davis
  • PyTorch: Advanced Architectures and Deployment: DeepLearning.AI
  • Deep Learning with PyTorch : Generative Adversarial Network: Coursera
  • Optimize TensorFlow Models For Deployment with TensorRT: Coursera
  • Regression & Forecasting for Data Scientists using Python: EDUCBA
  • Frontend Developer Interview Practice: Scrimba
  • Foundations of Machine Learning: Coursera
  • Introduction to Machine Learning in Sports Analytics: University of Michigan
  • Building User Interfaces Using Functional React Components: NIIT

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