rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    non sort: The
    title: data analytics advantage
    sub title: strategies and insights to understand social media content and audiences
  name:
    name part: Khan, Laeeq
    role:
      role term: creator
    role:
      role term: author.
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: nyu
    date issued: 2025
    copyright date: 2025
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource : illustrations.
  abstract: "The Data Analytics Advantage is a comprehensive guide that equips readers with the essential skills to analyze and leverage social media data for strategic decision-making. Combining academic principles with case studies, social media analytics expert Laeeq Khan provides a foundational understanding of the field and its importance, introduces cutting-edge trends and tools through interactive tutorials and exercises, and offers a glimpse into future developments, including the potential impact of artificial intelligence. With its balance of technical rigor and accessibility, the textbook requires minimal coding experience while covering a wide range of topics. Using a three-stage framework--discovery, analysis, visualization--Khan emphasizes the importance of question formulation, data collection, and the skillful application of analytical tools; unveils key aspects of social media analytics, from hashtag and temporal analysis to social network analysis, data visualization, and storytelling; introduces readers to various methodologies, including monitoring metrics and KPIs, adopting advanced data visualization techniques, and mastering sentiment and network analysis; and addresses potential challenges in social media analytics, such as data access, privacy, and ethics. Readers will come away with a solid grasp of theoretical concepts as well as hands-on experience through practical exercises, making The Data Analytics Advantage an indispensable resource for students, social media administrators, marketers, and data analysts alike in the rapidly evolving field of social media analytics."--Publisher.
  table of contents: Chapter 1: Introduction: Analytics Overview -- Chapter 2: Social Media Analytics Framework -- Chapter 3: Goals, Metrics & Measurement -- Chapter 4: Data Gathering, Organizing, and Cleaning -- Chapter 5: Textual Data Structuring -- Chapter 6: Text Analytics Interpretative Methods and Tools -- Chapter 7: Social Network Analysis -- Chapter 8: Image and Video Analytics -- Chapter 9: Data Visualization -- Chapter 10: Spatial Analytics for Social Media -- Chapter 11: Integrating Design Thinking into Dashboards and Reports -- Chapter 12: Artificial Intelligence and the Future of Social Media Analytics.
  target audience: Specialized.
  target audience: specialized
  note: Laeeq Khan.
  note: Includes bibliographical references and index.
  subject:
    topic: Social media
    topic: Data processing
  subject:
    topic: Data mining
  subject:
    topic: Information visualization
  subject:
    topic: Exploration de données (Informatique)
  subject:
    topic: Visualisation de l'information
  subject:
    topic: Social Networking
  subject:
    topic: Web
  subject:
    topic: COMPUTERS
  subject:
    topic: Diplomacy
  subject:
    topic: International Relations
  subject:
    topic: POLITICAL SCIENCE
  subject:
    topic: Methodology
  subject:
    topic: SOCIAL SCIENCE
  subject:
    topic: Media Studies
  subject:
    topic: Data mining
  subject:
    topic: Information visualization
  subject:
    topic: Social media
  classification: HM742 .K524 2025
  classification: 302.23/102856312
  related item:
    title info:
      title: Data analytics advantage
    name:
      name part: Khan, Laeeq.
    origin info:
      publisher: New York, NY : Oxford University Press, [2025]
    identifier: (DLC) 2025017082
    identifier: (OCoLC)1504357464
  identifier: 9780197814260
  identifier: 0197814263
  identifier: 9780197814246
  identifier: 0197814247
  identifier: 9780197814253
  identifier: 0197814255
  identifier: 9780197814222
  identifier: 9780197814239
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: STBDS
    record creation date: 250610
    record change date: 20260319210319.8
    record identifier: in00005728454
    language of cataloging:
      language term: eng