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Week - 1
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Introduction to Data Analytics in Tourism: Concept of data analytics, digital transformation in tourism, data-driven decision making, tourism data sources |
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Week - 2
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Types of Tourism Data and Data Collection Methods: Primary and secondary data, surveys, online reviews, social media data, sensor and mobile data |
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Week - 3
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Data Cleaning and Preparation: Missing data, outliers, data transformation, data quality |
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Week - 4
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Descriptive Analytics in Tourism: Basic statistics, data summarization |
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Week - 5
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Data Visualization Techniques: Charts, maps, destination visualizations, storytelling with data |
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Week - 6
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Tourist Behavior Analytics: Customer segmentation, behavioral patterns, experience analytics |
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Week - 7
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Social Media and Online Review Analytics: Sentiment analysis, TripAdvisor/Booking reviews, electronic word-of-mouth (e-WOM) |
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Week - 8
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Text Mining and Natural Language Processing Applications: Topic modeling, word clouds, Word2Vec, NLP in tourism research |
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Week - 9
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Text Mining and Natural Language Processing Applications: Topic modeling, word clouds, Word2Vec, NLP in tourism research |
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Week - 10
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Artificial Intelligence and Big Data Analytics in Tourism: AI applications, recommender systems, chatbots, personalization |
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Week - 11
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Artificial Intelligence and Big Data Analytics in Tourism: AI applications, recommender systems, chatbots, personalization |
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Week - 12
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Sustainable Tourism and Data Analytics: Environmental data, overtourism analytics, sustainability indicators |
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Week - 13
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Student Project Presentations and Final Evaluation: Presentation and discussion of data analytics projects |
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Week - 14
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Student Project Presentations and Final Evaluation: Presentation and discussion of data analytics projects |
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