Executive Certificate in Interpretation and Visualization of Business Big Data - HKU SPACE: FinTech and Financial Intelligence, Data Science courses
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Accounting & Finance FinTech and Financial Intelligence

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》

Course Code
EP129A
Application Code
1940-EP129A
Study mode
Part-time
Start Date
21 Aug 2021 (Sat)
Next intake(s)
Nov 2021
Duration
1 month to 2 months
Language
English
Course Fee
HK$8600 per programme
Apply Now
Deadline on 06 Aug 2021 (Fri)
Enquiries
2867 8331
2861 0278
Accept new application for August intake! Don't miss the chance, come and join us! There will be practical classes in computer laboratory.

The programme will cover the introduction to Microsoft Power BI, data modelling and data visualization using Tableau. Our professional lecturer will illustrate various business, sales and marketing analyses. Also, storytelling and selection of data and chart for business presentations will be discussed. Welcome for 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.
 

ECIVBBD

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.

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


Teacher

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, FRM, has possessed rich experience in financial risk management, information technology and data science and worked as IT Manager over a decade. Being a practitioner in information technology, he is currently a consultant and trainer at Big Data Consultancy Services Company. Also, he is strong in Cloud-based solutions, Big Data Technology, Data Mining and Machine Learning. Moreover, Mr. Chan has obtained a Bachelor Degree in Mathematics from The Chinese University of Hong Kong as well as three Master Degrees in 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.

Application Code 1940-EP129A Apply Online Now
Apply Online Now

Days / Time
  • Saturday, 1:00pm - 6:00pm
Duration
  • 30 hours per module
  • 5 hours per session
Venue
  • Hong Kong Island Campus
  • Kowloon East Campus

Course Content

(1) Introduction to Big Data and Data Wrangling
(a)  Concepts and framework under Big Data
(b)  Introduction to Microsoft Power BI
        -Data Cleansing
        -Data Modelling
        -Data Visualization
        -Collaboration and Sharing
        -Question and Answer with AI
(c)  An overview of using Big Data to support business and financial analysis

(2) Interpretation of Statistical results
(a)  Concepts and techniques of Statistical analysis for business applications
(b)  Interpretation and Analysis of Big Data for business and financial analysis

(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, NTD, Rolling Sum, Compound Growth Percentage
        -Rank Analysis with Bump Chart
        -Tree Map, Motion Chart, Bubble Chart, Box-and-Whisker Chart and their Business
(b)  Applications:
       -Storytelling with Views for Presentation
       -Sharing Views with Tableau Public

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

Timetable

August 2021 intake

Lecture Date Time
1 21 Aug 21 (Sat) 13:00 - 18:00
2 28 Aug 21 (Sat) 13:00 - 18:00
3 4 Sep 21 (Sat) 13:00 - 18:00
4 11 Sep 21 (Sat) 13:00 - 18:00
5 18 Sep 21 (Sat) 13:00 - 18:00
6 25 Sep 21 (Sat) 13:00 - 18:00

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

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. 

Application Fee

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

Course Fee
  • Course Fee : HK$8600 per programme (course fees are subject to change without prior notice)

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.