Accounting & FinanceFinTech and Financial Intelligence
Executive Certificate in Interpretation and Visualization of Business Big Data
- Course Code
- Application Code
- Study mode
- Start Date
- 22 Oct 2019 (Tue)
- 1 month to 2 months
- Course Fee
- HK$8000 per programme
This programme provides you with the basic concepts and knowledge about Big Data and to develop your skills in interpreting Big Data with Tableau Desktop. Contrary to traditional reporting, data visualization techniques would facilitate you to apply visual methods to get business insight and do financial forecasting using statistical methods in an easy manner.
"Think BIG DATA, Think HKU SPACE"
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 Compassion 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
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||1750-EP129A||Apply Online Now|
|Apply Online Now|
Days / Time
- Tue, Thu, 7:00pm - 10:00pm
- 30 hours per module
- 5 hours per session
- Admiralty Learning Centre
- HK Island
- Island East Campus
(1) Introduction to Big Data
- Concepts and framework under Big Data
- An overview of using Big Data to support business and financial analysis
(2) Interpretation of Statistical results
- Concepts and techniques of Statistical analysis for business applications
- Interpretation and Analysis of Big Data for business and financial analysis
(3) Data Visualization and Interpretation
- Preparation of elementary graphs using computer software (e.g., Tableau)
- Aggregation of Big Data: Dimension, Hierarchy, Measure, Group and Set, Standard Statistical Calculations, Percentage of Total, Custom Calculations, Fixed Level of Detail
- Dashboard Design: Interactivity, Synchronized Filtering, Adding Highlighter, Adding Parameters
- Data Visualization techniques (Slope Chart, Lollipop Chart, Waterfall Chart, Sparklines, Sheet Swapping and Dynamic Dashboards, Advanced Mapping Techniques, Animation), design principles and tips
- Illustration of cases for practical business and financial application
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
October intake 2019 (M22163)
|1||22 Oct 19 (Tue)||19:00 - 22:00|
|2||24 Oct 19 (Thu)||19:00 - 22:00|
|3||29 Oct 19 (Tue)||19:00 - 22:00|
|4||31 Oct 19 (Thu)||19:00 - 22:00|
|5||5 Nov 19 (Tue)||19:00 - 22:00|
|6||7 Nov 19 (Thu)||19:00 - 22:00|
|7||12 Nov 19 (Tue)||19:00 - 22:00|
|8||14 Nov 19 (Thu)||19:00 - 22:00|
|9||19 Nov 19 (Tue)||19:00 - 22:00|
|10||21 Nov 19 (Thu)||19:00 - 22:00|
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.
HK$150 (student only needs to pay one time application fee for all EC in Big Data Series)Course Fee
- Course Fee : HK$8000 per programme (course fees are subject to change without prior notice)
Online Application Apply NowEnrolment Method
HKU SPACE provides 24-hour online application and payment service for students to make enrolment for most open admission courses (courses enrolled on first come, first served basis) and selected award-bearing programmes via the Internet. Applicants may settle the payment by using either PPS, VISA or Mastercard online.
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Cash or EPS are accepted at any HKU SPACE Enrolment Centres.
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Course fees can also be paid by crossed cheque or bank draft made payable to “HKU SPACE”. Please write the programme title(s) and the applicant’s name on the back of the cheque. You may either:
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Course applicants, who are holders of HKU SPACE Mastercard, can enjoy a 10-month interest-free instalment period for courses of HK$2,000 and over. For enquiries, please contact our enrolment centres.
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