Advanced Web Intelligence Techniques
S$2,600 4 days -

Course Overview
- Master advanced methods and tools for web intelligence.
- Learn to analyze complex data structures from the web.
- Develop skills to use machine learning and AI in web intelligence tasks.
- Enhance proficiency in extracting actionable insights from diverse web data sources.
- Prepare for specialized applications of web intelligence in cybersecurity, marketing, and other fields.
Who Should Attend
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Learning Outcomes
- Apply advanced techniques to collect and analyze complex web data.
- Automate and optimize data collection and preprocessing processes.
- Utilize machine learning for actionable insights from web data.
- Implement data management practices for large-scale web intelligence tasks.
- Demonstrate the ability to solve advanced web intelligence problems in real-world scenarios.
Course Outline
Day 1: Advanced Web Data Collection Techniques
- Advanced techniques for web scraping and API utilization.
- Automating data collection processes using Python-based tools.
- Handling dynamic and unstructured web data sources.
- Hands-on session: Extracting data from complex websites with dynamic content.
Day 2: Data Preprocessing and Management
- Techniques for cleaning and structuring large datasets.
- Managing data pipelines for web intelligence tasks.
- Using databases to store and retrieve processed web data.
- Practical activity: Creating a data pipeline for a web intelligence project.
Day 3: Analytical Techniques in Web Intelligence
- Applying machine learning techniques for web data analysis.
- Sentiment analysis, clustering, and classification of web data.
- Leveraging open-source libraries (e.g., scikit-learn, NLTK) for analysis.
- Hands-on session: Performing sentiment analysis on web-based text data.
Day 4: Applications and Best Practices
- Case studies of advanced web intelligence applications in industries.
- Best practices for ensuring data quality and maintaining ethical standards.
- Capstone project: Solving a real-world problem using advanced web intelligence techniques.
Class Schedule 2026
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