Accounting & FinanceFinTech and Financial Intelligence
Executive Certificate in Interpretation and Visualization of Business Big Data
- Course Code
- Application Code
- Study mode
- Start Date
- 31 Oct 2020 (Sat)
- Next intake(s)
- Dec 2020
- 1 month to 2 months
- Course Fee
- HK$8600 per programme
The recent advances in Big Data and AI have major impact on the investment...
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 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
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||1850-EP129A||Apply Online Now|
|Apply Online Now|
Days / Time
- Saturday, 1:00pm - 6:00pm
- 30 hours per module
- 5 hours per session
- Hong Kong Island Campus
- Kowloon East Campus
(1) Introduction to Big Data and Data Wrangling
(a) Concepts and framework under Big Data
(b) Introduction to Microsoft Power BI
-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
-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
October 2020 intake
|1||31 Oct 20 (Sat)||13:00 - 18:00|
|2||7 Nov 20 (Sat)||13:00 - 18:00|
|3||14 Nov 20 (Sat)||13:00 - 18:00|
|4||21 Nov 20 (Sat)||13:00 - 18:00|
|5||28 Nov 20 (Sat)||13:00 - 18:00|
|6||5 Dec 20 (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.
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 FormEnrolment 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.
Complete the online application form
Applicant may click the icon on the top right hand corner of the programme/course webpage to make online application, and then follow the instructions to fill in the online application form.
Some programmes/courses may be admitted by selection, and may require applicants to provide electronic copy of any required documents (e.g. proof of qualification) as indicated on the programme/course webpage. Only file format in doc, docx, jpg and pdf are supported.
Make Online Payment
Pay the programme/course fees by either using:
PPS via Internet - You will need a PPS account and a PPS Internet password. For information on how to open a PPS account and how to set up a PPS Internet password, please visit http://www.ppshk.com.
Credit Card Online Payment - Course fees can be paid by VISA or Mastercard including the “HKU SPACE Mastercard”.
To know more about online enrolment and payment, please refer to the user guide of Online Enrolment and Payment:
In Person / Mail
For first time enrolment
Applicants must provide all the required information on the application form and any additional information as required after the intial application assessment. Otherwise the School may not be able to process the admission/enrolment further.
- For first come, first served short courses, complete the Application for Enrolment Form SF26 and bring or post the completed form(s), together with the appropriate application/course fee(s) and any required supporting documents to any of the HKU SPACE enrolment centres.
- Award-bearing and professional courses may require other information. Forms are usually available at the enrolment centres or on request from programme staff. Bring or post the completed form(s), together with the appropriate application/course fee(s) and any required supporting documents to any of the HKU SPACE enrolment centres.
For continuing enrolment in the same course
In person or by post
- The standard ‘Enrolment/Payment Slip’ is designed for students of award-bearing programmes or remaining programmes in a suite of programmes requiring continuing enrolment and it applies to most programmes.
- Students should complete the “Enrolment/Payment Slip” which will be made available by relevant programme staff and return the slip to any HKU SPACE enrolment centre or post it to the relevant programme staff with appropriate fee payment.
If you are in doubt about the procedures, please check the individual course details, or contact our programme staff or enrolment centres.
Please note the followings for programme/course enrollment:
- Applicants should not leave the online application idle for more than 10 minutes. Otherwise, applicants must restart the application process.
- Only S-MILES and Early Bird Discount are supported in Online Applicants (Application). To enjoy other types of discount, please visit one of our enrolment centres.
- During the online application process, asynchronous application and payment submission may occur. Successful payment may not guarantee successful application. In case of unsuccessful submission, our programme staff will contact you shortly.
- Applicants are reminded that they should only apply for the same programme/course once through counter or online application.
- For online enrolment, payment confirmation page would be displayed after payment has been made successfully. In addition, a confirmation email would also be sent to your email account. You are advised to keep your payment confirmation for future enquiries.
- Fees paid are not refundable except as statutorily provided or under very exceptional circumstances (e.g. course cancellation due to insufficient enrolment).
- If admission is by selection, the official receipt is not a guarantee that your application has been accepted. We will inform you of the result as soon as possible after the closing date for application. Unsuccessful applicants will be given a refund of programme/course fee if already paid.
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1. Cash or EPS
Cash or EPS are accepted 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 write the programme title(s) and the applicant’s name on the back of the cheque. You may either:
- in person by submitting the payment, completed form(s), and required supporting documents to any of our enrolment centres; or
- by mailing the above documents to any of our enrolment centres, specifying “Course Application” on the envelope.
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.
4. Online payment
Online payment for short courses (first come, first served) and selected award-bearing programmes is available using PPS, VISA or Mastercard. Please refer to the Online Services page on the School website.
- For general and short courses, applicants may be required to pay the course fee in cash or by EPS, Visa or Mastercard if the course is to start shortly.
- 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, cheque or online PPS will be reimbursed by a cheque; fees paid by credit card will be reimbursed to credit card account used for payment.
- 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 teams for details.
- Fees and places on courses are not transferrable. 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.
- HKU SPACE will not be responsible for any loss of payment, receipt, or personal information sent by mail.
- For additional copies of receipts, 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. Such copies will normally be issued at the end of a course.
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