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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: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Mathematical Foundations for Data Science and Analytics

    Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Statistics, Pandas (Python Package), Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning

    Build toward a degree

    Beginner · Specialization · 1 - 3 Months

  • C

    Coursera

    Web Development in React.js: Build a Web App

    Skills you'll gain: React.js, Cascading Style Sheets (CSS), JavaScript Frameworks, UI Components, Restful API, Web Applications, Web Development Tools, Web Development, Javascript, Application Development, Computer Programming

    4.1
    Rating, 4.1 out of 5 stars
    ·
    13 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Data Visualization using Plotly

    Skills you'll gain: Plotly, Exploratory Data Analysis, Scatter Plots, Plot (Graphics), Data Visualization, Data Visualization Software, Interactive Data Visualization, Python Programming

    4
    Rating, 4 out of 5 stars
    ·
    50 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Pandas for Data Science

    Skills you'll gain: Pandas (Python Package), Data Cleansing, Data Manipulation, Data Preprocessing, Data Quality, NumPy, File I/O, Query Languages, Python Programming, Data Import/Export, Data Analysis, Exploratory Data Analysis, Debugging

    4.2
    Rating, 4.2 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    N

    NIIT

    Building High Quality User Experience Using Material UI

    Skills you'll gain: Cascading Style Sheets (CSS), UI Components, Front-End Web Development, User Interface (UI) Design, User Interface and User Experience (UI/UX) Design, Web Design, React.js, Responsive Web Design, User Centered Design, Javascript

    1.7
    Rating, 1.7 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    API Testing with Karate Framework

    Skills you'll gain: API Testing, Test Case, Test Script Development, Scenario Testing, Behavior-Driven Development, Test Automation, Restful API

    4.4
    Rating, 4.4 out of 5 stars
    ·
    22 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Scikit-Learn to Solve Regression Machine Learning Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Predictive Modeling, Regression Analysis, Machine Learning Algorithms, Applied Machine Learning, Predictive Analytics, Python Programming, Classification Algorithms, Machine Learning, Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    C

    Cisco Learning and Certifications

    Using APIs for Network Automation

    Skills you'll gain: Postman API Platform, Restful API, Authentications, Application Programming Interface (API), Scripting, JSON, Extensible Markup Language (XML), Network Protocols, YAML, Automation, Network Engineering, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    33 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    NumPy and Pandas Basics for Future Data Scientists

    Skills you'll gain: Debugging, Data Analysis, Data Preprocessing, Numerical Analysis, Critical Thinking

    4
    Rating, 4 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    PyCaret: Anatomy of Regression

    Skills you'll gain: Regression Analysis, Predictive Modeling, Scikit Learn (Machine Learning Library), Feature Engineering, Model Evaluation, Data Preprocessing, Applied Machine Learning, Data Visualization, Exploratory Data Analysis, Performance Tuning, Python Programming, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    14 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Data Visualization with Plotly Express

    Skills you'll gain: Plotly, Interactive Data Visualization, Data Visualization Software, Scatter Plots, Ggplot2, Data Analysis, Python Programming, Data Science, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    269 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    B

    Board Infinity

    JavaScript for Web Development

    Skills you'll gain: jQuery, Javascript, Web Applications, Data Structures

    4.5
    Rating, 4.5 out of 5 stars
    ·
    14 reviews

    Intermediate · Course · 1 - 4 Weeks

Searches related to library

library science
library and information science
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library studies
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library research
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1…101112…68

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

  • Mathematical Foundations for Data Science and Analytics: University of Pittsburgh
  • Web Development in React.js: Build a Web App: Coursera
  • Data Visualization using Plotly: Coursera
  • Pandas for Data Science: Duke University
  • Building High Quality User Experience Using Material UI: NIIT
  • API Testing with Karate Framework: Coursera
  • Scikit-Learn to Solve Regression Machine Learning Problems: Coursera
  • Using APIs for Network Automation: Cisco Learning and Certifications
  • NumPy and Pandas Basics for Future Data Scientists: University of Michigan
  • PyCaret: Anatomy of Regression: Coursera

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