What is this course about?
The Corporate sector is not the only ones benefitting from the power of analytics. Unprecedented information explosion and multi-faceted public issues have driven the need for the public service to stay on top of the economic, social and political situations. In the light of immense uncertainties faced, the challenge for the public service is not only to make informed decisions but to also offer intelligent solutions. By leveraging the power of analytics, the public service is now able to respond with insights and foresights derived from the huge amount of data which previously had lain hidden and largely untapped.
Business leaders, who traditionally rely on intuition and instincts in their decision making, can now have at their disposal, an alternative source of information offering insights through the employment of analytics -- and be amazed by what their data is telling them.
In this course, participants will learn how to address business needs through the use of analytics, how some organizations have done it and what has been done to achieve them. Conducted interactively with case studies and real business problems, participants can expect to learn the principles behind the power of analytics. In particular, this course is an extension of the “Principles of Business Analytics for the Public Sector” and covers more grounds and depth in terms of advanced modeling techniques, model evaluation and issues facing deployment.
Covering theories and practical, this course addresses a wide variety of business issues and how it may be solved using analytics. It caters to people from a diverse background from Company Directors, who provides the organization’s strategic vision and direction, to Professionals like Managers and Analysts looking to solve today’s business problems using the power of analytics.
This course is designed for participants who have the relevant training in school or at work and are keen to learn new abstract concepts and techniques such as logistic regression, neural networks and sequence detection, and how to effectively evaluate and deploy models.
Assumed Skills and Knowledge
Participants should ideally have attended the class on Principles of Business Analytics prior or possessed relevant knowledge and exposure in the areas of basic data mining concepts and predictive and/or segmentation analyses.
1. Overview of Analytics Tools and Techniques
(a) Predictive Analytics
(b) Pattern Discovery
• Segmentation Modeling
• Association Rule Mining
2. Regression: Making Sense Of Advanced Regression Models
(a) Simple Regression
(b) Multiple Regression
(c) Logistic Regression
3. More Models
(a) Predictive analytics – Neural Network and its applications
(b) Pattern discovery – Cluster analysis, Sequence Detection and its applications
4. Model Evaluation
(a) Lift, gains and cumulative captured response chart
(b) Misclassification and average squared errors
5. Model Deployment and Model Management
6. Practical application: Applying principles of analytics using analytics software*
*The course will be conducted with computer-aided data analysis software and participants will get a chance to see how analytics are being applied in real-life scenario.
1. Skillsfuture (SF) Series
Singaporeans and Singapore PRs are eligible for 70% course fee funding for registration with effect from 28 October 2017.
Singaporeans aged 40 and above will enjoy 90% subsidy of course fee.
This funding is applicable to both individual and company-sponsored participants. Participants are required to achieve at least 75% attendance and/or sit and pass any prescribed examinations/assessments or submit any course/project work (if any) under the course requirement.
2. SkillsFuture Credit (SFC)
With effect from January 2016, Singaporeans aged 25 years and above who received their SkillsFuture Credit account activation letter will be eligible for an initial credit of $500 which can be used to pay for course fees for a range of eligible skills-related courses. The credits can be used on top of existing course fee subsidies/funding.
This is only applicable for self-sponsored applicants. Application via SkillsFuture Portal can only be made starting from 60 days before the course commencement date.
Mode of Assessment
Participants are required to sit for an open book quiz which exemplifies what was taught in the course.
Certificate of Performance awarded by the Singapore Polytechnic.
1. All applications must be made via Online Registration at www.pace.sp.edu.sg
Course fees can be paid by the following payment modes:
Credit Cards, Internet Banking, NETS (Not Applicable for company sponsored)
a) For e-payment using Visa/Master cards and Internet Banking, please click on the ‘Make e-Payment’ button on the acknowledgement page to proceed.
b) For NETS payment, you can pay at:
Blk T1A, Level 1
Mon-Fri: 8:30am to 7:30pm
c) Please make cheques payable to “Singapore Polytechnic”. Please cross the cheque and write the Registration Reference ID, Applicant Name and NRIC/FIN number on the back of the cheque. Mail the cheque to:
500 Dover Road
Blk T1A, Level 1
Please note that an administrative charge of $15 will be imposed for any returned cheques from the bank or financial institution.
2. All successful applicants will be notified with a letter of confirmation via email.
3. Withdrawal and Deferment
Withdrawal and deferment notice must be made in writing to the Professional & Adult Continuing Education (PACE) Academy, Singapore Polytechnic via email accordingly:
Online Courses - email@example.com
All other Courses – firstname.lastname@example.org
For withdrawal cases, the portion of course fee to be refunded is based on the date of notice as follows:
- 2 weeks before the commencement of the course - Full refund
- Less than 2 weeks before commencement of the course - 70% refund
- On or after date of commencement - No refund
- There will be no refund or transfer of course once the account has been created.
The Singapore Polytechnic reserves the right to cancel or postpone any of the courses. Applicants will be duly notified and where applicable, the full fees will be refunded.
The Singapore Polytechnic also reserves the right to amend the fees charged or the period and duration of the courses.
The data provided to Singapore Polytechnic will be kept strictly confidential and will be used for the purpose of course administration. The data may be passed on to the relevant organisations that require the information related to the course.