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Accounting & Finance FinTech and Financial Intelligence

Executive Certificate in Interpretation and Visualization of Business Big Data

Course Code
Application Code
Study mode
Start Date
03 Sep 2024 (Tue)
Next intake(s)
Oct 2024
1 month to 2 months
Course Fee
Course Fee: $9300 per programme
(*course fees are subject to change without prior notice)
Deadline on 20 Aug 2024 (Tue)
2867 8331
2861 0278
Apply Now

Today and Upcoming Events

Accept new applications for Sep intake! Don't miss the chance. Come and join us! There are practical classes in the computer laboratory. The programme uses Tableau to introduce data wrangling, data modelling, and data visualization. Our professional lecturer will illustrate various business, sales, and marketing analyses. Also, storytelling and the selection of data and chart for business presentations will be discussed. Welcome to your online application!


This programme aims to provide students with the basic concepts and knowledge about Big Data and to develop their skills in interpreting Big Data. It provides a practical approach for the students to apply statistical methods to analyze data and to equip them with techniques to perform data visualization for business and financial Big Data.


You will learn the following techniques with Tableau Desktop:
·       Design of Management Dashboard
·       Top N / Bottom N Analysis
·       Visual Exception Highlighting
·       Sales Forecasting and Trend Analysis
·       Actual and Target Comparison with Bullet Charts
·       Market Basket Analysis
·       New Customer Analysis
·       Scatter Plot of Sales and Profit
·       Pareto Distribution of Sales
·       Moving Average Analysis and Bollinger Band applicable to stock price and sales volatility
·       Financial Analysis with YTD, QTD, MTD, Rolling Sum, Compound Growth Percentage
·       Rank Analysis with Bump Chart
·       Tree Map, Motion Chart, Bubble Chart, Box-and-Whisker Chart and their Business Applications
·       Storytelling with Views for Presentation
·       Sharing Views with Tableau Public

You will be able to learn each of the above techniques with a hands-on practical approach and no programming skill is assumed. Also, the programme will give you a brand new idea of interpreting business in a top-down manner and collecting correlations visually without looking into huge volume of data.

Programme Details

On completion of the programme, students should be able to:
- Explain Big Data concepts and explore the challenges and opportunities in business applications
- Interpret business and financial data and perform analysis using statistical methods
- Apply computer software to visualize the Big Data
- Analyze the Big Data from business and financial perspectives

Application Code 2245-EP129A Apply Online Now
Apply Online Now

Days / Time
  • Tue, Thu, 7:00pm - 10:00pm
  • 30 hours per module
  • 5 hours per session
  • Hong Kong Island Campus
  • Kowloon East Campus
  • Kowloon West Campus


Course Content

(1) Introduction to Big Data and Data Wrangling

(a)  Concepts of big data and the domain of data technologies

(b)  Introduction to data preparation, data visualization and visual analytics
- Data cleansing
- Data transformation
- Data consolidation
- Data automation
- Report automation and dashboard design
(c)  Comparison between common Business Intelligence (BI) tools


(2) Concept of Dashboard Design

(a)  Factors of a good dashboard design
(b) Strength of Tableau as a visual analytics tool
(c) Dashboard design for dynamic analysis
(d) Chart design with motion


(3) Data Visualization and Interpretation

(a)  Practice with Tableau
- Introduction to Tableau (versions, components, licenses and pricing)
​- Design of management dashboard
​- Top N / bottom N analysis
​- Visual exception highlighting
​- Sales forecasting and trend analysis
​- Actual and target comparison with bullet charts
​- Market basket analysis
​- New customer analysis
- Scatter plot of sales and profit
- Pareto distribution of sales
- Moving Average with YTD, MTD, rolling sum, compound growth percentage
- Rank analysis with bump chart
- Motion chart, bubble chart, Box-and-Whisker chart and their business use
(c) Business applications
- Expense control dashboard
- Income statement dashboard with breakdown and trend analytics
- Payroll analytics dashboard
- Stock price analytics dashboard

Assessment method: in-class exercises + group presentation

The Executive Certificate will be conferred to candidates who pass in continuous assessment and final assessment as well as achieved at least 70% attendance of the programme.



1) Mr. Chung
Mr. Chung is a specialist in Machine Learning, Statistical Analysis and Data Science. He received his Bachelor and Master Degree in Mathematics from the University of Toronto. He had been a Mathematics and Statistics lecturer in HKUSPACE Community College for more than six years. Since 2013, he became interested and has been doing research in Data Science and Machine Learning. Coming from an academic background, and then working as a machine learning engineer and data scientist, Mr. Chung likes to discuss Data Science and Machine Learning from both theoretical and practical perspectives.

2) Mr. W. C. Chan
Mr. W. C. Chan, a passionate and highly committed data science and computer professional, Mr Chan sees the importance of lifelong learning and keeps himself abreast of the latest data technologies. He is highly proficient in the areas of visual analytics, business intelligence (BI) solutions, statistical analysis, data science, machine learning and cloud-based computing.
Mr Chan graduated from the Mathematics Department in CUHK. He is a seasoned data analytics professional with a strong background in IT, Retail and Supply Chain Industries. He obtained three master’s degrees from three universities, namely Risk Management Science from CUHK, Quantitative Analysis for Business from the City University of HK and Industrial Logistics Systems from Hong Kong Polytechnic University.
In 2021, Mr Chan accredited the title of Tableau Certified Associate Consultant. He is also a principal consultant for a data technology consulting services company, specialized in implementing BI solutions and report data automation.

Class Details


Sep 2024 intake

Lecture Date Time
1 3 Sep 24 (Tue) 19:00 - 22:00
2 5 Sep 24 (Thu) 19:00 - 22:00
3 10 Sep 24 (Tue) 19:00 - 22:00
4 12 Sep 24 (Thu) 19:00 - 22:00
5 19 Sep 24 (Thu) 19:00 - 22:00
6 24 Sep 24 (Tue) 19:00 - 22:00
7 26 Sep 24  (Thu) 19:00 - 22:00
8 3 Oct 24 (Thu) 19:00 - 22:00
9 8 Oct 24 (Tue) 19:00 - 22:00
10 10 Oct 24 (Thu) 19:00 - 22:00

Remarks :
-Tentative timetable is subject to change, and course commencement is subject to sufficient enrollment numbers
To ensure that students’ academic progress is not affected, the School may substitute face-to-face classes with online teaching if face-to-face classes cannot be held.


Application Fee

HK$150 (student only needs to pay one time application fee for all EC in Big Data Series)

Course Fee
  • Course Fee: $9300 per programme
    (*course fees are subject to change without prior notice)

Entry Requirements

Applicants shall hold:
-A bachelor’s degree awarded by a recognized University or equivalent; or
-An Associate Degree/ a Higher Diploma or equivalent, and have at least 2 years of relevant working experience.

Applicants with statistical background are preferred. Those with other qualification and substantial senior level work experience will be considered on individual merit.

**Please upload copy of HKID and proof of qualification while applying online. 


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.


  • 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.