• 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.

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  • 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.

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

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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