Singapore University of Social Sciences

Level: Intermediate
Duration: 2 days
Dates: 29 & 30 April 2024
Venue: Singapore University of Social Sciences
Minimum number to run: 25 participants (To be updated by SUSS)

Synopsis

In this course, students will be exposed to the whole scope of Analytics that includes: descriptive, diagnostic, prescriptive and predictive analytics. Students will also be introduced to the key components of an analytics platform and how to source, transform, store deliver and visualise information.

Topics

• Introduction to analytics
• Understanding descriptive and diagnostic analytics
• Understanding prescriptive and predictive analytics
• Analytics platform overview
• Sourcing and transforming information
• Storing, delivering and visualising information
• Best practices for managing analytics.
  
  

Learning Outcomes

A. Knowledge and Understanding (Theory Component)

At the end of this course, participants should be able to:

• Define what is analytics
• Understand what the different types of analytics are
• Explain the sample use cases of each type of analytics
• Describe the main components of an analytics solution platform
• Explain the best practices for managing analytics.
  
  

Schedule

Time	Agenda
Day 1
09:00 – 09:15	Course overview
09:15 – 10:30	Introduction to analytics
10:30 – 10:45	Morning tea break
10:45 – 12:15	Understanding descriptive and diagnostic analytics
12:15 – 13:30	Lunch
13:30 – 16:00	Understanding prescriptive and predictive analytics
16:00 – 16:15	Afternoon Tea Break
16:15 – 17:45	Analytics use cases
17:45 – 18:00	Wrap-up
Day 2
09:00 – 09:15	Short-recap
09:15 – 10:30	Analytics platform overview
10:30 – 10:45	Morning tea break
10:45 – 12:15	Sourcing and transforming information
12:15 – 13:30	Lunch
13:30 – 16:00	Storing, delivering and visualising information
16:00 – 16:15	Afternoon tea break
16:15 – 17:00	Best practices for managing analytics
17:00 – 17:45	Other resources to further develop your digital media campaign
17:45 – 18:30	Wrap-up + evaluation form

Assessments

• In class quiz
  
  

Requirements

• Attendees should have a basic understanding of the Internet
  
  

Trainer's Profile

Mr Toh Hong Giep is a seasoned professional with more than 20 years of international experience in technology management, change management, e-commerce/digital initiatives, data analytics and outsourcing. He has held global and regional management roles, in different parts of the world and is familiar with managing diverse and virtual teams. In addition, he has rich experience working with diverse stakeholder groups and senior management to drive and realize strategic initiatives.

He holds Executive MBAs from INSEAD and Tsinghua University. He graduated with a Bachelor of Science (Computer Science & Information Systems) from the National University of Singapore.

On the personal front, he is married with 2 children and is currently living in Singapore. He enjoys sports, traveling and a good cup of coffee

Application Procedures

Please submit the following documents to cet@suss.edu.sg:

1. Coloured copy (back and front) of NRIC for Singaporeans and PRs, or "Employment"/"S" Pass for foreign applicant
   
2. Application form
   
   

Course Fee

¹ Mid-Career Enhanced Subsidy: Singaporeans aged 40 and above may enjoy subsidies up to 90% of the course fees.
² Enhanced Training Support for SMEs: SME-sponsored employees (Singaporean Citizens and PRs) aged 21 and above may enjoy subsidies up to 90% of the course fees. 

• Participants are required to achieve at least 75% attendance and pass any prescribed examinations/assessments or submit any course/project work (if any) under the course requirement.
• Participants are required to complete all surveys and feedbacks related to the course
• The course fees are reviewed annually and may be revised. The University reserves the right to adjust the course fees without prior notice.
• Singapore University of Social Sciences reserves the right to amend and/or revise the above schedule without prior noticee.

For clarification, please contact the SUSS Academy via the following:

Telephone: +65 6248 0263
Email: CET@suss.edu.sg