• Learn the fundamentals of web data mining and its applications in intelligence.
  • Gain proficiency in extracting and analyzing large-scale data from the web.
  • Master the use of algorithms and tools for web data mining.
  • Understand how to transform mined data into actionable insights.
  • Build a foundation for advanced topics in data mining and web analytics.

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  • Understand the fundamentals and applications of web data mining.
  • Extract structured and unstructured data from web sources effectively.
  • Apply key data mining algorithms to analyze web data.
  • Transform mined data into actionable intelligence through visualization.
  • Demonstrate the ability to execute a web data mining project from start to finish.

Day 1: Introduction to Web Data Mining

  • Overview of web data mining concepts and applications.
  • Types of web data: structured, semi-structured, and unstructured.
  • Tools and technologies for web data mining (e.g., Python libraries, Scrapy, BeautifulSoup).
  • Hands-on session: Extracting structured data from websites.

Day 2: Data Mining Algorithms and Techniques

  • Key algorithms used in web data mining: clustering, classification, and association rule mining.
  • Text mining techniques for unstructured web data.
  • Applications of web data mining in industries (e.g., e-commerce, marketing).
  • Practical activity: Applying clustering algorithms to web data.

Day 3: Transforming Web Data into Intelligence

  • Visualizing mined data for insights and decision-making.
  • Using dashboards and visualization tools (e.g., Tableau, Power BI).
  • Case study: Applying web data mining techniques to solve a real-world problem.
  • Capstone project: Mining and analyzing data from a publicly available web source.

Class Schedule 2026

Click any date to enquire or enrol · Dates subject to change
Jan
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Feb
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Mar
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Apr
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May
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Jun
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Jul
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Aug
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Sep
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Oct
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Nov
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Dec
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