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Jun 2023

Web scraping (website capture / web crawler) in commercial applications (21 Jun)

FinTech and Financial Intelligence

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Date & time
21Jun 2023 (Wed)13:00 - 13:30
  • Mr Clive Yip

Mr Clive Yip

Mr. Yip is a practitioner in Data Analytics. He has 10 years of experience in both Big 4 consulting firms and multinational companies. He is currently working as a Senior Data Analytics Consultant in a leading insurance company, using Python, SQL and other Big Data technologies to analyse and monitor any non-compliance or fraudulent activities. He has a Master’s degree in Information Technology from HKUST and a Bachelor’s degree from the University of Southern California. Before entering the data analytics field, he worked as a financial auditor in Ernst and Young and is a Certified Public Accountant (CPA) in Hong Kong and Canada.

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Relevant Programmes
Postgraduate Diploma in FinTech and Legal Regulations Postgraduate Diploma in Financial Analytics and Algo Trading Postgraduate Diploma in Finance and Data Analytics Certificate for Module (Technical Analysis and Data Analytics for Stock Investment) Certificate for Module (Business Intelligence and Data Automation) Certificate for Module (Business Analytics and Web Scraping) Executive Certificate in Interpretation and Visualization of Business Big Data Big Data and FinTech Executive Workshop Series - Big Data and Data Visualization Big Data and FinTech Executive Workshop Series - Applied AI and Business Analytics
moreRelevant Programmes
Web scraping (website capture / web crawler) in commercial applications

A web crawler is an automated program that extracts information from web pages.

In this free seminar, the speaker will demonstrate some commercial applications of web crawlers, including:

1) Crawl the data of restaurant review websites, analyze the types and customer ratings of restaurants in each district,

2) Obtain corporate governance (ESG) scores, and analyze the relationship between ESG and long-term stock prices. The speaker will use Python, a popular programming language, to acquire data and then put the data into power bi for data visualization and analysis.

After listening to this free lecture, interested friends can enroll in the course Unit: Business Analysis and Website Extraction. This course will explain the Python programming language and Power BI software from shallow to deep, with many examples for students to practice so that they can make the above-mentioned commercial applications by themselves at the end of the course.

Suitable candidates for this course:

1) People who are interested in entering the data analysis industry

2) Professionals who want to use data analysis and automation tools to increase work efficiency

3) SME owners who want to use web crawlers to acquire potential customers

4) Anyone interested in learning programming and data analysis