Key Takeaways
At the end of the course, participants will be able to:
- Learn the essential steps and value chain to transform raw data into business decisions.
- Discover how Artificial Intelligence enhances decision-making.
- Gain a structured understanding of the CRISP framework and its key components to guide data-driven decisions.
- From descriptive to prescriptive analytics, learn how different analytical approaches uncover insights and drive action.
- Use NUS-ISS Analytics Maturity Model to assess and elevate your organisation’s data-driven capabilities.
- Identify the key skills, mindsets, and cultural shifts needed for a successful data transformation.
- Get hands-on experience applying the NUS-ISS Data-Driven Decision-Making Model to real-world business challenges.
Who Should Attend
Any working professional who is interested in using data and analytics to address business issues; to be able to frame the problems and analyse the results of an analytics project to ensure sound decision making.
What to Bring
No printed copies of course materials are issued.
Participants must bring their internet-enabled computing device (laptops, tablet etc) with power charger to access and download course materials.
If you are bringing a laptop, please see below for the tech specs:
|
|
Minimum
|
Recommended
|
|
Operating Systems
|
• Windows 7, 8, 10 or
• Mac OS
|
Laptop running the latest
version of either Windows or
Mac OS
|
|
System Type
|
32-bit
|
64-bit
|
|
Memory
|
8 GB RAM
|
16+ GB RAM
|
|
Hard Drive
|
256 GB disk size
|
|
|
Others
|
• An internet connection – broadband wired or wireless
• Installation permissions (non-company laptops)
• Keyboard
• Mouse/Trackpad
• Display
• Power adapter (laptop battery might run out)
|
DirectX 10 graphics card for graphics hardware acceleration
|
What Will Be Covered
- An overview on data and analytics process and life cycle
- Reliability and validity check for data analytics model
- Common model results interpretation and application
- Different schools of modelling techniques
- Strategy for data-driven projects
Fees & Subsidies
Fees for 2024
| |
Full Fee |
Singaporeans & PRs
(self-sponsored) |
| Full course fee |
S$900 |
S$900 |
| ISS Subsidy |
- |
(S$90) |
| Nett course fee |
S$900 |
S$810 |
| 9% GST on nett course fee |
S$81 |
S$72.90 |
| Total nett course fee payable, including GST |
S$981 |
S$882.90 |
Note:
- All fees and subsidies are valid from January 2024, unless otherwise advised.
- All self-sponsored Singaporeans aged 25 and above can use their SkillsFuture Credit to pay for course fees. For more information about SkillsFuture Credit, click here.
- From 1st January 2024, the GST will be increased to 9%
Certificate
Certificate of Completion
Participants have to meet a minimum attendance rate of 75% and are required to pass the assessment to be issued a Certificate of Completion.
Join Us
Empower your decision-making skills.
Register now to master data-driven strategies.
Preparing for Your Course
NUS-ISS Course Registration Terms and Conditions
Find out more.
NUS-ISS and Learner’s Commitment and Responsibilities
Find out more.
WIFI Access
WIFI access will be made available to participants.
Venue
NUS-ISS
25 Heng Mui Keng Terrace
Singapore 119615
Click HERE for directions to NUS-ISS
In the event of a change of venue, participants are advised to refer to the acceptance email sent one week prior to the commencement date.
Course Confirmation
All classes are subject to confirmation and NUS-ISS will send an acceptance email to participants one week prior to the commencement date. Confirmed registrants are to attend and complete all lectures, class exercises, workshops and assessments (where applicable). Additionally, all responses to feedbacks and surveys conducted by NUS-ISS and its partners must be submitted. All training and assessments will be delivered as described in the course webpage.
General Enquiry
Please feel free to write to ask-iss@nus.edu.sg if you have any enquiry or feedback.