Web Data Mining and Intelligence
S$1,950 3 days -

Course Overview
- 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.
Who Should Attend
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Learning Outcomes
- 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.
Course Outline
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
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