Main content start

Certificate for Module (Storytelling with Data for Impactful Presentation)
證書 (單元: 數據說故事的有效演講法)

CEF Reimbursable Course

CEF Reimbursable Course

Course Code
MS150A
Application Code
2050-MS150A

Study mode
Part-time
Start Date
22 Oct 2022 (Sat)
Duration
30 hours
Language
English
Course Fee
HK$7800
Deadline on 15 Oct 2022 (Sat)
Enquiries
2867 8318
2861 0278
Apply Now
10月開班, 報名從速!

The programme enables students to:

  • Understand the basic concept of machine learning, data and analytics and the importance of analytics storytelling in the world today;
  • Develop data stories through exploring various real-life case studies of machine learning and big data;
  • Shape ideas in a structured way to engage different audiences in the stories;
  • Develop skills to generate effective data visuals and effective presentation;
  • Familiarize themselves with the process of interactive dashboard development; and
  • Understand the importance of ethical use of visuals and data.

storytelling

On Completion of the programme, students should be able to

  1. Formulate problem statements and prepare an effective data analysis request;
  2. Implement effective data analysis to create data visualization;
  3. Apply skills to create interactive dashboard;
  4. Discuss and improve analytics presentations through storytelling;
  5. Examine the impact of creating poorly designed charts or visuals to become a responsible data consumer; and
  6. Design a strategy for communicating stories with data to create high-impact reports and presentations

Who Should Attend

  • Middle-to-senior business executives and managers in all sectors and industries with non-tech background in particular
  • Team leaders and unit heads
  • Business analysts and data scientists
  • Training and Development professionals 

Part I

1.

 

Introduction to Data and Analytics for Business Strategy and Storytelling

  • The key challenges in today’s digital and analytics environment and how data analytics affected our daily life, and share some real-life examples of machine learning and big data and the related implications.
  • Fundamental concepts of data and analytics. Knowledge of quality data management and some possible consequences of a weak data governance framework.
  • The end-to-end analytics development process and some potentially related common issues.
     

2.

Use of Visuals

  • The basic concept of data visualization and typical tools for visualization creation.  Some examples of common data visualization are shared to discuss the common problems of data visualization.
  • Introduction to infographic and word cloud, differences between data visualization, and illustration of generating informatic and word cloud.
  • The typical development process of data visualization and sharing of different kinds of visualization, e.g. use of text, tables, charts. The respective pros and cons are discussed.
  • Some general tips on creating visuals by illustrating some examples of ineffective visuals. Group discussion of examining different visuals to identify potential areas for improvement.
  • The general guidelines for conducting data analysis through case study to generate different basic analytics to support recommendations

 

3

Design Principle of Data Visualization

  • The design principle of data visualization by introducing the concept of proximity, similarity, and enclosure
  • The importance of visual formatting and positioning through some real-life examples
  • Different colour systems and use of colour palettes to generate visuals drawing audience’s attention including sequential, diverging, categorical, highlighted, and alert visuals
  • Some general principles of effective data visualization presentation
     

4

Storyboarding and Storytelling with Data Visualisation

  • The importance of storytelling and the major reasons for using storytelling approach to present data analytics.
  • Key elements of storytelling and the difference between exploratory and explanatory analysis
  • Different approaches of creating a storyboard and discuss the general design principle of storyboarding
  • Ways of generating insights and ideas from data and choosing different effective visuals to support storytelling

Part II

5

Dashboard Design and Implementation

  • The design principle of dashboard development. Some practical tips of dashboard development
  • The development process of interactive KPI dashboard using MS Excel
  • Sharing of the implementation considerations to engage users with your dashboard
  • Charts and dynamic dashboard for successful storytelling with data 

6

Analytics Presentation Skills

  • Ways to develop an impactful analytics and technical presentation
  • The presentation framework to develop an effective analytics and technical presentation. Various examples are shared in different phases of the proposed framework including preparation, rehearsal, showtime, and feedback & revision phase. Assessment method of measuring a successful presentation

7

Ethical Use of Data Visuals

  • Ethical considerations in creating data visuals
  • The impact of misleading visualisations and techniques in data visualisation

8

Practicing and Putting All it Together

  • Case Study for analytics presentation with storytelling skills
  • Major tips to creating impactful presentations with data

 

 

Application Code 2050-MS150A Apply Online Now
Apply Online Now

Days / Time
  • Saturday, 10:00am - 6:30pm
4 Saturdays (30 hours in total)
  • 22 &  29 Oct 2022 :  10:00am to 1:00pm, 2:00pm to 6:30pm (15-hour )
  • 5  & 12 Nov 2022 :  10:00am to 1:00pm, 2:00pm to 6:30pm (15-hour )
Teaching Methodology
  • Lecture
  • Case Studies and Discussions
  • Group Exercises and Presentation
  • E-learning: online exercise and readings

(Students are required to bring their own notebook to class.)

Assessment Method
  • Individual Project (30%)
  • Group Presentation plus group report (70%)

On successful completion of the programme and passing of the assessment, graduates will be awarded within the HKU system through HKU SPACE the Certificate for Module (Storytelling with Data for Impactful Presentation). 

 

TUTOR

Dr Lawson Law

1

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.

  • Applicants shall hold an Associate Degree / a Higher Diploma or equivalent and have at least 2 years of work experience.
  • Applicants with other qualifications will be considered on individual merit.
Course Fee
  • Course Fee : HK$7800
  • The CEF Institution Code of HKU SPACE is 100
CEF Courses
Certificate for Module (Storytelling with Data for Impactful Presentation)
證書 (單元: 數據說故事的有效演講法)
COURSE CODE 34C136964 FEES $7,800 ENQUIRY 2867-8318
Continuing Education Fund Continuing Education Fund
This course has been included in the list of reimbursable courses under the Continuing Education Fund.

Certificate for Module (Storytelling with Data for Impactful Presentation)

  • This course is recognised under the Qualifications Framework (QF Level [5])

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.