Executive Workshop “The Power of Big Data Analytics in Making Smart Managerial Decision” - HKU SPACE: Innovation, Creativity and Entrepreneurship, Data Science courses
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Class arrangement during COVID-19


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Executive Workshop “The Power of Big Data Analytics in Making Smart Managerial Decision”
行政人員工作坊 “大數據分析的力量與智慧管理決策”

Course Code
MGNT9350
Application Code
1885-2683NW
Study mode
Part-time
Start Date
To be advised
Duration
2 days
Language
English, supplemented with Cantonese
Course Fee
HK$4,000 per programme

The ability of making an effective and decisive decision is an essential competency of any successful manager. One of the major contributing factors is adopting evidence-based information in managerial decision-making process. This course aims to focus on identifying the value of data analytics in managerial decision-making process. 
 

big data

 

In addition, this programme will provide insights into how data analytics can be used to formulate business strategies. The course will not only provide students with general understanding of the latest technology development, but also helps them understand the process of Big Data analytics implementation.

 

On completion of the programme, students should be able to:

  1. Examine Big Data Analytics and Machine Learning in general
  2. Discuss the machine learning model development process
  3. Evaluate and apply data analytics to support managerial decision
  4. Assess the Big Data strategy formulation and implementation process in business

WHO SHOULD ATTEND

  • Middle-to-senior business executives and managers in all sectors and industries
  • Team leaders and unit heads
  • Business analysts and data scientists
  • Training and Development professionals
  • IT and R&D professionals
  • Entrepreneurs and Start-ups

​We also offer customised corporate training workshop. You are most welcome to contact us at 2867 8318 for details.

 

 

 

 

Session

Contents

1


Overview of Smart Business and Managerial Decision in Big Data Era

  • Fundamental concepts of Big Data and key challenges of managerial decision making 
  • Differences between Big Data Analytics and Machine Learning
  • Ways of applying data analytics in different business domain 

2


Smart Ways of Machine Learning Applications Helping Business and Entrepreneur

  • Different types of Machine Learning models and its application areas
  • Machine Learning model development process, and key considerations of applying machine learning
  • 15 smart ways of Machine Learning applications with illustration of typical Machine Learning model development 

3


Big Data Value Creation and Strategy 

  • Design principle of data visualization
  • Importance of visual formatting and positioning through some real-life examples
  • Principles of effective management presentation with data visualization

4


Smart Managerial Decision 

  • Importance of using storytelling approach to present data analytics
  • Different approaches of creating a storyboard and general design principle of storyboarding
  • Ways of generating insights and ideas from data and choosing different effective visuals to support storytelling

5


Implementing Big Data Analytics in Practice

  • Approach of Big Data by using case identification and prioritization process
  • End-to-end data analytics process from problem identification, business requirement, analytics tools and technique selection, data interpretation, data visualization, and analytics presentation

6


Future Development and Ethical Use of Data

  • Group Exercise or Presentation
  • The latest trend of Data Analytics and the ethical use of Big Data
  • Major tips of implementing Big Data Analytics

 

 

TUTOR

 

Dr Lawson Law

Lawson law

 

Dr Law has held senior management positions in large corporations for over 20 years i.e. Hang Seng Bank Limited and MTR Corporation. He is keen to share his experience in Machine Learning and Data analysis. He has obtained Doctorate Degree in Engineering and Master of Science Degree in Information Systems from The Hong Kong Polytechnic University, and a Bachelor Degree in Quantitative Analysis for Business from City University of Hong Kong. His research area is related to CRM and Machine Learning.

 

 

STATEMENT OF ATTENDANCE

A STATEMENT OF ATTENDANCE from HKU SPACE will be issued to all students who have successfully completed the workshop.

 

Date

Two Saturdays (Actual Dates To Be Advised)

 

 

Please note that the actual commencemet date is subject to change, it will be affected by the enrolment number. The programme Team will contact you for any updates.

 

Days / Time
  • Saturday, 10:00am - 6:30pm (an hour of lunch break)

Applicants should hold:

• an Advanced Diploma or Higher Diploma / Associate Degree awarded by a recognized institution.

Applicants with other equivalent qualifications will also be considered on individual merits.

Course Fee
  • Course Fee : HK$4,000 per programme
  • Early Bird Rate : HK$3,800 per programme (Application submitted on or before 15 May, 2021. Application must be submitted to enrollment centres)
  • Alumni Rate : HK$3,800 per programme (Application must be submitted to enrollment centres)

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.