| Management number | 238633357 | Release Date | 2026/07/11 | List Price | US$28.06 | Model Number | 238633357 | ||
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<em>The Data Analytics Advantage</em> 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. <p>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 <em>The Data Analytics Advantage</em> an indispensable resource for students, social media administrators, marketers, and data analysts alike in the rapidly evolving field of social media analytics.</p>
| Book format | Hardcover |
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| Fiction/nonfiction | Non-Fiction |
| Genre | Political & Social Sciences |
| Publication date | August, 2025 |
| Pages | 296 |
| Reading level | Professional & Vocational |
| Subgenre | Media Studies |
| Series title | No Series |
| Number in series | 0 |
| Edition | 1 |
| Publisher | Oxford University Press |
| Original languages | English |
| Language | English |
| Edu focus | Social Science, Science & Technology |
| Is collectible | N |
| Binding type | Case Binding |
| Retail packaging | Single Piece |
| Assembled product height | 9.21 in |
| Assembled product weight | 1.29 lb |
| Bisac subject heading | Social Science |
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