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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
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    Scrimba

    React Beginner Project: Build a Movie Search App

    Skills you'll gain: Cascading Style Sheets (CSS), React.js, JavaScript Frameworks, Front-End Web Development, User Interface (UI) Design, Application Frameworks, Application Programming Interface (API), Web Development Tools, Restful API

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    O

    O.P. Jindal Global University

    Unsupervised Learning and Its Applications in Marketing

    Skills you'll gain: Anomaly Detection, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Marketing Analytics, Data Mining, Customer Insights, Applied Machine Learning, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Marketing, Unstructured Data, Statistical Machine Learning, Target Audience, Python Programming, Market Analysis, Exploratory Data Analysis, Data-Driven Decision-Making, Algorithms, Artificial Neural Networks

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    Scrimba

    React Technical Interview Practice Questions

    Skills you'll gain: React.js, Cascading Style Sheets (CSS), Event-Driven Programming, User Experience Design, User Interface (UI), Front-End Web Development, Restful API, Data Management, JavaScript Frameworks, Javascript, API Design, Web Development

    Intermediate · Course · 1 - 4 Weeks

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

    Packt

    Deep Learning with TensorFlow

    Skills you'll gain: Tensorflow, Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Time Series Analysis and Forecasting, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Computer Vision, Forecasting, Classification And Regression Tree (CART), Supervised Learning, Machine Learning, Text Mining, Predictive Analytics, NumPy, Regression Analysis, Network Architecture, Data Processing, Data Science

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Applied Machine Learning

    Skills you'll gain: Computer Vision, PyTorch (Machine Learning Library), Supervised Learning, Unsupervised Learning, Image Analysis, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Feature Engineering, Machine Learning Algorithms, Regression Analysis, Data Processing, Machine Learning, Predictive Modeling, Data Mining, Data Cleansing, Statistical Machine Learning, Deep Learning, Artificial Neural Networks, Decision Tree Learning

    3.5
    Rating, 3.5 out of 5 stars
    ·
    14 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Classify Radio Signals with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Machine Learning Methods, Digital Communications, Deep Learning, Artificial Neural Networks, Computer Vision, Telecommunications

    3.7
    Rating, 3.7 out of 5 stars
    ·
    12 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
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    Scrimba

    React Interview Questions

    Skills you'll gain: React.js, UI Components, Web Development Tools, Front-End Web Development, Javascript

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Predict Ad Clicks Using Logistic Regression and XG-Boost

    Skills you'll gain: Scikit Learn (Machine Learning Library), Data Visualization, Feature Engineering, Customer Analysis, Data Presentation, Predictive Modeling, Predictive Analytics, Marketing Analytics, Applied Machine Learning, Online Advertising, Data Cleansing, Data Manipulation, Advertising, Classification And Regression Tree (CART), Digital Advertising, Machine Learning Methods, Performance Analysis, Machine Learning, Python Programming, Deep Learning

    4.6
    Rating, 4.6 out of 5 stars
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    10 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Последовательные модели

    Skills you'll gain: Deep Learning, Natural Language Processing, Tensorflow, PyTorch (Machine Learning Library), Generative Model Architectures, Applied Machine Learning, Artificial Neural Networks

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    I

    Imperial College London

    TensorFlow 2 시작하기

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Deep Learning, Data Validation, Predictive Modeling, Supervised Learning, Applied Machine Learning, Artificial Neural Networks, Computer Vision, Jupyter

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Deep-Dive into Tensorflow Activation Functions

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Machine Learning Methods, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
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    7 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
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    DeepLearning.AI

    Introduction to On-Device AI

    Skills you'll gain: Application Deployment, Performance Testing, Android Development, Image Analysis, PyTorch (Machine Learning Library), Embedded Software, Deep Learning, Tensorflow, Hardware Architecture, Artificial Neural Networks, Real Time Data, Artificial Intelligence

    4.3
    Rating, 4.3 out of 5 stars
    ·
    22 reviews

    Beginner · Project · Less Than 2 Hours

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1…505152…69

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

  • React Beginner Project: Build a Movie Search App: Scrimba
  • Unsupervised Learning and Its Applications in Marketing: O.P. Jindal Global University
  • React Technical Interview Practice Questions: Scrimba
  • Deep Learning with TensorFlow: Packt
  • Applied Machine Learning: Johns Hopkins University
  • Classify Radio Signals with PyTorch: Coursera
  • React Interview Questions: Scrimba
  • Predict Ad Clicks Using Logistic Regression and XG-Boost: Coursera
  • Последовательные модели: DeepLearning.AI
  • TensorFlow 2 시작하기: Imperial College London

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