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Accounting & Finance FinTech and Financial Intelligence

Certificate for Module (Business Analytics and Web Scraping)
證書(單元 : 商業分析及網站擷取)

CEF Reimbursable Course

CEF Reimbursable Course

Course Code
FN057A
Application Code
2240-FN057A

Credit
6
Study mode
Part-time
Start Date
10 Aug 2024 (Sat)
Next intake(s)
Nov 2024
Duration
1 month to 2 months
Language
English
Course Fee
Course Fee: $9700 per programme (* course fees are subject to change without prior notice)
Deadline on 26 Jul 2024 (Fri)
Enquiries
2867 8331
2861 0278
Apply Now

Today and Upcoming Events

19
Aug 2024
(Mon)

Online Executive Certificate / Diploma Information Seminar - Big Data & FinTech Series (19 Aug 2024)

The recent advances in Big Data and AI have major impact on the investment and trading community.  Now different types of alternative data from news, social sentiment to satellite images can be used to construct and manage investment portfolios. Moreover, Machine Learning is applied to stock price predictions while Reinforcement Learning (Alpha-Go) technique is employed into trading strategies discovery. This programme is suitable for degree holders and Executives who wish to enhance their knowledge and current market practices in the Big Data and FinTech series. Seminar topics: Course details, entry requirements, assessment requirements. This information seminar provides details about: -Executive Diploma in Financial Analytics  行政人員文憑《金融數據分析》 -Executive Certificate in Banking and Financial Technology  行政人員證書《銀行及金融科技》 -Executive Certificate in Big Data and Business Analytics  行政人員證書《大數據與業務分析》 -Executive Certificate in Big Data and Predictive Analytics  行政人員證書《大數據與預測分析》 -Executive Certificate in Big Data, A.I. and Investing  行政人員證書《大數據,人工智能與投資》 -Executive Certificate in Applications of Blockchain in Financial Technology  行政人員證書《區塊鏈在金融科技的應用》 -Executive Certificate in Applied AI and Predictive Analytics for Business  行政人員證書《應用人工智能與商業預測分析》 -Executive Certificate in AI and Deep Learning in Quantitative Finance  行政人員證書《量化投資:人工智能與深度學習》 -Executive Certificate in Applied Business Analytics and Decision Optimization  行政人員證書《應用商業分析與決策優化》 -Executive Certificate in Interpretation and Visualization of Business Big Data  行政人員證書《商業大數據視覺化及資訊演繹》 -Executive Certificate in Financial Decision Making: Big Data and Machine Learning  行政人員證書《財務決策:大數據及機器學習》 -Executive Certificate in Text Analytics and NLP with Financial Technology 行政人員證書《金融科技:文字分析與自然語言處理》 -Certificate for Module (Big Data Governance and Data Compliance)  證書(單元 : 大數據治理及數據合規) -Certificate for Module (Business Analytics and Web Scraping)  證書(單元 : 商業分析及網站擷取) -Certificate for Module (Robotic Process Automation with Business and Financial Applications)  證書(單元:機械人流程自動化於商業與財務應用) -Certificate for Module (Distributed Ledger and Blockchain with Business Applications)  證書(單元 : 分散式帳本與區塊鏈的商業應用) -Certificate for Module (Business Intelligence and Data Automation)  證書(單元 : 商業智能與數據自動化) -Certificate for Module (Business Process Automation with VBA and Python)  證書(單元:商業流程自動化 – VBA及Python) -Certificate for Module (Business Forecasting and Predictive Analytics for Financial Decision Making)  證書(單元:財務決策的商業分析與預測) -Certificate for Module (Technical Analysis and Data Analytics for Stock Investment) 證書(單元 : 股票投資的數據與技術分析) -Certificate for Module (Sustainable Finance and Green FinTech) 證書(單元 : 可持續金融與綠色金融科技) -Certificate for Module (Generative AI, DeFi and Risk Governance) 證書(單元 : 生成式人工智能、去中心化金融與風險管治) -Certificate for Module (Web 3.0 and FinTech) 證書(單元 : 第三代互聯網與金融科技) -Certificate for Module (GenAI and Automation for Finance and Business) 證書(單元 : 生成式人工智能及金融與業務自動化) -Certificate for Module (Financial Data Analytics with Python and Power BI) 證書(單元 : 金融數據分析–Python 及Power BI) -Certificate for Module (AI and ML with Business and Financial Applications) 證書(單元 : 人工智能與機器學習 - 商業與財務應用) -Certificate for Module (Financial Informatics and Data Analytics) 證書(單元 : 金融信息學與數據分析) -Certificate for Module  (Web Application Programming for Finance and Business) 證書(單元:金融與商業網頁應用編程) Unable to join us at the Information Seminar? Email to finedec@hkuspace.hku.hk for One-on-One after-office-hour consultation, by appointment only.

02
Sep 2024
(Mon)

Web3 and Blockchain VIII (2 Sep 2024)

Join us for an exhilarating online talk show titled "Web3 and Blockchain VIII".    This session is designed to take you on a journey through the transformative landscape of blockchain technology, which is at the heart of a decentralized digital ecosystem—a significant leap from the interactive platforms of Web2.   Bitcoin ETF Approval by the SEC: The crypto community is abuzz with the news that the U.S. Securities and Exchange Commission (SEC) has given the green light to a Bitcoin ETF. This approval is expected to drive significant institutional investment into the cryptocurrency market, potentially boosting Bitcoin's price and bringing it further into the financial mainstream.   Hong Kong's Push for Virtual Asset Regulations: In a recent move, Hong Kong has unveiled a comprehensive regulatory framework for virtual assets, aiming to bolster investor protection and foster innovation. The new guidelines provide clear rules for cryptocurrency exchanges and digital asset service providers, signaling Hong Kong's commitment to becoming a leading hub for blockchain and fintech development.   China's Digital Yuan Gains Traction: China's central bank digital currency, the digital yuan, is gaining significant traction as more businesses and consumers adopt it for everyday transactions. This development is seen as a major step towards mainstream acceptance of digital currencies and is influencing global financial systems to consider their own digital currency initiatives.   Hong Kong Steps Boldly into the Cryptocurrency Spotlight: In an exciting development, Hong Kong has given initial approval to its first bitcoin and ether spot ETFs. This pioneering move paves the way for a broader acceptance of cryptocurrencies within the region’s mainstream financial systems, underscoring a significant shift towards more regulated and accessible digital asset investments.   Bitcoin Halving Event: The crypto community is abuzz as the Bitcoin halving is done; this is a critical event that historically triggers a surge in Bitcoin's price by reducing the reward for mining new blocks by half. This anticipated change is stirring discussions about potential impacts on market dynamics and investment strategies.   Innovative Regulatory Sandbox by HKMA: In a stride towards fostering innovation while ensuring security, the Hong Kong Monetary Authority (HKMA) is set to introduce a "sandbox" for entities interested in issuing stablecoins. This initiative will allow participants to test their business models and risk management systems under manageable conditions, enhancing investor protection and promoting responsible business practices in the digital currency sphere.   Join Our Captivating Session to delve deeper into the essence of Web3 and blockchain technologies with us. Discover how these advancements are reshaping the internet and what they mean for the future of finance, privacy, and online interaction.   This is more than just a talk – it's an opportunity to be part of the next digital revolution.    Register now and be part of this transformative journey into Web 3.0.   Language: Cantonese (Supplemented with English)

Confirmed launch for Aug intake! There are practical classes in the computer laboratory. Our seasoned lecturer will discuss Descriptive analytics and data visualization using Microsoft Power BI, Predictive analytics and data modeling, Prescriptive analytics and business decision optimization as well as Managerial dashboard and storytelling. Welcome to your online application!

Highlights

The programme aims to provide students with essential knowledge to perform business analytics by processing, analysing, interpreting and visualizing business data. It discusses data wrangling and web scraping methods such as extraction of data from webpages and analysis of collected data to enhance business decision making. Besides, practical business applications of web scraping from managerial perspectives will be covered.

Big Data

Programme Details

On completion of the programme, students should be able to
1. describe how to perform business analytics and data wrangling;
2. apply computational tools to extract raw data from web and transform them to valuable managerial information;
3. analyse data for core business functions, interpret and visualize the processed information for operational efficiency; and
4. discuss the applications of web scraping to enhance business decision making.

Application Code 2240-FN057A Apply Online Now
Apply Online Now

Days / Time
  • Saturday, 1:30pm - 6:30pm
Duration
  • 30 hours per programme
Venue
  • Kowloon East Campus
  • Kowloon West Campus
  • Hong Kong Island Campus

Modules

Course Content :

(1) Web Scraping and Data Analytics

  • Overview of web analytics, web scrapping and data analytics
  • Introduction to web scrapping tools:
    • Microsoft PowerQuery
    • Python
    • Beautiful Soup
    • Wayscript
  • Applications of web scraping and data analytics with sample cases
    • Get a daily weather email report/SMS message for your city
    • Web scraping of stock prices
    • Ecommerce price tracker (receive an email whenever a price drops)

(2) Business Analytics and Data Wrangling

  • Principles of business analytics and data wrangling
  • Introduction to data cleansing using computation tools
  • Transformation of raw data to business information with sample cases
    • Standardize and cleanse sales budget
    • Unpivot tabular report data for processing
    • Merge and aggregate daily sales files for budget comparison
    • Automate data processing with one-click to refresh all

(3) Applications of Business Analytics and Web Scraping

  • Descriptive analytics and data visualization using Microsoft Power BI
  • Predictive analytics and data modeling
  • Prescriptive analytics and business decision optimization
  • Managerial dashboard and storytelling
  • Practical applications of business analytics and web scraping for core business functions
    • Building actual/budgeted sales management dashboard with one-click for data refresh
    • Trend analysis, data growth trend, drill up/down with hierarchy and exception highlights
    • Auto-generation of charts with natural language
    • Integration of web scraping with application programming interface (API), data cleansing and chart building
    • Predicting stock market sentiment with AI

Assessment method: Two in-class exercise + Group Project Presentation

Upon successful completion of the programme, students who have passed the continuous assessment and final assessment with attendance no less than 70% will be awarded within the HKU system through HKU SPACE a Certificate for Module (Business Analytics and Web Scraping)

Teacher

(1) Mr. W. C. Chan
Mr. W. C. Chan, FRM, is very professional in teaching web scraping using big data and visualize business data for storytelling. He possesses rich experience in financial risk management, information technology and data science and has worked as an IT Manager for over a decade. Being a practitioner in information technology, he is currently a consultant and trainer at a Big Data Consultancy Services Company. He is strong in cloud-based solutions, big data technology, data mining and machine learning.
Mr. Chan has delivered trainings in data science areas, covering R, machine learning, statistics, database programming, AWS cloud architecture and SAS programming for IT professionals and university graduates for over 2 years. He worked as the Head of BI Data Analytics and R&D Team in Li & Fung Group Company, GBG Asia (HK) Limited, IDS Group Ltd. & LF Asia and so on, devoting himself in IT development and project management.
Mr. Chan has obtained a Bachelor of Science Degree in Mathematics from The Chinese University of Hong Kong as well as three Master Degrees, namely, Risk Management Science from The Chinese University of Hong Kong, Quantitative Analysis for Business from City University of Hong Kong and Industrial Logistics Systems from The Hong Kong Polytechnic University.

(2) Ms. Rowena Lai
Ms. Lai is a practitioner in business and data analytics as well as web analytics. With a Bachelor of Science (Major in Mathematics and Minor in Economics) from The Chinese University of Hong Kong, two Master of Science degrees in  International Shipping and Transport Logistics as well as Global Supply Chain Management both from The Hong Kong Polytechnic University. She has worked with different industries on business analytics area. Ms. Lai is currently working in a leading bank and has led various projects related to data analytics. With her extended working exposure, she would like to share her academic knowledge and practical experience in data science and analytics.

(3) 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.

(4) Mr. Ken Choi
Mr. Choi holds a Bachelor (Hons) of Statistics and Operations Research from HKBU and a Master of Statistics and Risk Management from HKU. His qualifications are further augmented by certifications like Financial Risk Manager (FRM) from GARP, and multiple credentials from SAS Institute, including Certified Statistical Business Analyst, Predictive Modeler: Enterprise Miner, Advanced Programmer, Base Programmer, and System Platform Administrator. All of these enrich his capability to navigate and contribute to the evolving world of FinTech and Web3.0.

 

Class Details

Timetable

Aug 2024 Schedule

Lecture Date Time
1 10 Aug 24 (Sat) 13:30-18:30
2 17 Aug 24 (Sat) 13:30-18:30
3 24 Aug24 (Sat) 13:30-18:30
4 31 Aug 24 (Sat) 13:30-18:30
5 7 Sep 24 (Sat) 13:30-18:30
6 14 Sep 24 (Sat) 13:30-18:30

Remarks: Tentative timetable is subject to change, and course commencement is subject to sufficient enrollment numbers.

Fee

Application Fee

HK$150 (Non-refundable)

Course Fee
  • Course Fee: $9700 per programme (* course fees are subject to change without prior notice)

Entry Requirements

Applicants should hold an Advanced Diploma, a Higher Diploma or an Associate Degree preferably in the areas of business and statistics (e.g., mathematics, statistics, computer science, IT, engineering, economics or finance) awarded by a recognized institution. Applicants with other equivalent qualifications will be considered on individual merit.

 

CEF

  • The CEF Institution Code of HKU SPACE is 100
CEF Courses
Certificate for Module (Business Analytics and Web Scraping)
證書(單元: 商業分析及網站擷取)
COURSE CODE 33C131609 FEES $9,700 ENQUIRY 2867-8331
Continuing Education Fund Continuing Education Fund
This course has been included in the list of reimbursable courses under the Continuing Education Fund.

Certificate for Module (Business Analytics and Web Scraping)

  • This course is recognised under the Qualifications Framework (QF Level [5])

Apply

Online Application Apply Now

Application Form Download Application Form

Enrolment Method
Payment Method
1. Cash, EPS, WeChat Pay Or Alipay

Course fees can be paid by cash, EPS, WeChat Pay or Alipay at any HKU SPACE Enrolment Centres.

2. Cheque Or Bank draft

Course fees can also be paid by crossed cheque or bank draft made payable to “HKU SPACE”. Please specify the programme title(s) for application and the applicant’s name.. You may either:

  • bring the completed form(s), together with the appropriate course or application fees in the form of a cheque, and any required supporting documents to any of the HKU SPACE enrolment centres;
  • or mail the above documents to any of the HKU SPACE Enrolment Centres, specifying  “Course Application” on the envelope.  HKU SPACE will not be responsible for any loss of payment sent by mail.
3. VISA/Mastercard

Applicants may also pay the course fee by VISA or Mastercard, including the “HKU SPACE Mastercard”, at any HKU SPACE enrolment centres. Holders of the HKU SPACE Mastercard can enjoy a 10-month interest-free instalment period for courses with a tuition fee worth a minimum of HK$2,000; however, the course applicant must also be the cardholder himself/herself. For enquiries, please contact our staff at any enrolment centres.

4. Online Payment

Online application / enrolment is offered for most open admission courses (course enrolled on first come, first served basis) and selected award-bearing programmes. Application fees and course fees of these programmes/courses can be settled by using "PPS by Internet" (not available via mobile phones), VISA or Mastercard. In addition to the aforesaid online payment channels, continuing students of award-bearing programmes, if their programmes offer online service, may also pay their course fees by Online WeChat Pay, Online Alipay and Faster Payment System (FPS). Please refer to Enrolment Methods - Online Enrolment  for details.

Notes

  • If the programme/course is starting within five working days, application by post is not recommended to avoid any delays. Applicants are advised to enrol in person at HKU SPACE Enrolement Centres and avoid making cheque payment under this circustance.
  • Fees paid are not refundable except under very exceptional circumstances (e.g. course cancellation due to insufficient enrolment), subject to the School’s discretion. In exceptional cases where a refund is approved, fees paid by cash, EPS, WeChat Pay, Alipay, cheque or PPS (for online payment only) will normally be reimbursed by a cheque, and fees paid by credit card will normally be reimbursed to the payment cardholder's credit card account.
  • In addition to the published fees, there may be additional costs associated with individual programmes. Please refer to the relevant course brochures or direct any enquiries to the relevant programme team for details.
  • Fees and places on courses cannot be transferrable from one applicant to another. Once accepted onto a course, the student may not change to another course without approval from HKU SPACE. A processing fee of HK$120 will be levied on each approved transfer.
  • Receipts will be issued for fees paid but HKU SPACE will not be repsonsible for any loss of receipt sent by mail.
  • For payment certification, please submit a completed form, a sufficiently stamped and self-addressed envelope, and a crossed cheque for HK$30 per copy made payable to "HKU SPACE" to any of our enrolment centres.