NICF- Predictive Analytics - Insights of Trends and Irregularities

Overview

There has been an increasing demand for business analytics, especially in the recent years and this trend is set to experience a continual rise. Predictive analytics is one of the most important areas of business analytics. It is all about extracting information from data and using it to predict future trends and behaviour patterns in businesses. In other words, predictive analytics offers actionable business predictions through mining abundant historical data. It has been widely used in many industries such as banking, insurance, telecom, retail, travel, health care and has shown significant impact on planning and business decision making. Many companies have been turning to predictive analytics to thrive and compete against their competitors.

This course will directly help participants utilise business data more effectively by deriving insights of trends and irregularities from data and applying them for forward-looking predictions. This is realised through building predictive models with appropriate analytical techniques. Ultimately, the company will gain a competitive advantage over its competitors as it would become more proactive in the way it does business and marketing and thereby reduce cost and increase return on investments.

The objective of this course is to introduce participants to the concepts, methods and techniques of predictive analytics. Participants will gain the requisite skills to perform predictive analytics in real-life business scenarios through workshops using either R or SPSS or JMP. The course will assume that the participants have some preliminary knowledge of statistical concepts like regression and logistic regression and some hands on experience of modelling using these techniques, though the course will revisit these concepts to refresh the theory. In case participants have no prior statistical knowledge, it is strongly recommended that they attend the Statistics Bootcamp using R and Tableau prior to attending this course.

This course is part of the Analytics & Intelligent Systems Series offered by NUS-ISS.
  • NICF- Predictive Analytics - Insights of Trends and Irregularities
  • NICF- Predictive Analytics - Insights of Trends and Irregularities

Enquiry

Please contact Ms. Linda LEE at tel: 66011167 or email for more details.

Facts

Class Time: 9am-5pm

Upcoming Classes

Class 107 May 2018 to 11 May 2018 (Full Time)

Duration: 3 days

Time:
9:00am - 5:00pm

Class 202 Jul 2018 to 06 Jul 2018 (Full Time)

Duration: 3 days

Time:
9:00am - 5:00pm

Class 319 Nov 2018 to 23 Nov 2018 (Full Time)

Duration: 3 days

When:
Nov:
19, 20, 21, 22, 23
Time:
09:00am to 05:00pm

Course Details

  • Key Takeaways
  • Who Should Attend
  • What Will Be Covered
  • Fees & Funding
  • Certificate
  • Preparing for Your Course

At the end of the course, participants will be able to:

  • Identify where predictive analytics can be applied and the benefits which can be derived
  • Evaluate the predictive model's objectives and data available
  • Design the predictive analytics process
  • Assess and select the appropriate testing methods to validate the predictive models
  • Analyse the results and communicate the decision to senior management and facilitate deployment to support the end users

Format

Lectures and workshops

This course is for: 

  • IT professionals who need to apply predictive analytics for improving business processes and decision making
  • Data/business analysts who are interested in obtaining knowledge in business analytics to add more value and insights to their recommendations
  • Domain specialists and anyone planning to undertake business analytics projects
  • Sales personnel who need to do realistic demand/sales forecasting
  • Professionals in charge of inventory planning

    Pre-requisites

  • Participants should have basic knowledge in business, marketing and be familiar with computer/statistical software (at least perform data analysis using excel).
  • Foundational knowledge in statistics at the level of the “Statistics BootCamp Using R and Tableau" is strongly recommended.
  • Introduction to predictive analytics
  • How to make predictions using multiple regression models
  • Times series modelling and applications
  • Introduction to logistic regression modelling
  • Predictive modelling using decision trees
  • Predictive modelling using neutral networks
  • Practical case studies in workshops conducted in R/excel / SPSS / JMP

Self-sponsored

International Participants

S'poreans and PRs 
(aged 21 and above)

SkillsFuture Mid-Career Enhanced Subsidy1 
(S’poreans aged 40 and above)

Workfare Training Support2
(S’poreans aged 35 and above, and earn ≤ $2,000 per month)

Full course fee

S$4500

S$4500

S$4500

S$4500

SSG grant

-

(S$3150)

(S$3150)

(S$3150)

Nett course fee

S$4500

S$1350

S$1350

S$1350

7% GST on nett course fee

S$315

S$94.50

S$94.50

S$94.50

Total nett course fee payable, including GST

S$4815

S$1444.50

S$1444.50

S$1444.50

Less additional funding if eligible under various schemes

-

-

(S$900)

(S$1125)

Total nett course fee payable, including GST, after additional funding from the various funding schemes

S$4815

S$1444.50

S$544.50

S$319.50


Singaporeans aged 25 and above can use their SkillsFuture Credit to pay for course fees, apart from government subsidies. For more information, click here.

Company-sponsored

International Participants

S'poreans and PRs 
(aged 21 and above)

SkillsFuture Mid-Career Enhanced Subsidy1 
(S’poreans aged 40 and above)

Workfare Training Support2
(S’poreans aged 35 and above, and earn ≤ $2,000 per month)

Enhanced Training Support for SMEs3

Notes

Full course fee

S$4500

S$4500

S$4500

S$4500

S$4500

SSG grant

-

(S$3150)

(S$3150)

(S$3150)

(S$3150)

Nett course fee

S$4500

S$1350

S$1350

S$1350

S$1350

7% GST on nett course fee

S$315

S$94.50

S$94.50

S$94.50

S$94.50

Total nett course fee payable, including GST

S$4815

S$1444.50

S$1444.50

S$1444.50

S$1444.50

Fee payable to NUS-ISS

Less additional funding if eligible under various schemes#
(company needs to submit training grant and claim via Skillsconnect)

-

-

(S$900)

(S$1125)

(S$900)

Total nett course fee payable, including GST, after additional funding from the various funding schemes

-

-

S$544.50

S$319.50

S$544.50

Actual financial outlay by company

Various Funding Schemes

1Mid-Career Enhanced Subsidy

  • Singaporeans aged 40 and above may enjoy subsidies up to 90% of the course fees.


2
Workfare Training Support (WTS)

  • Singaporeans aged 35 and above (13 years and above for Persons With Disabilities) and earn not more than $2,000 per month, may enjoy subsidies up to 95% of the course fees.


3
Enhanced Training Support for SMEs (ETSS)

  • SME-sponsored employees (Singaporean Citizens and PRs) may enjoy subsidies up to 90% of the course fees. For more details, click on Enhanced Training Support for SMEs.


Course attendee is eligible for only one funding scheme.

#For company-sponsored participants, companies would need to pay upfront 30% of the course fee to NUS-ISS and submit a training grant application for the remaining eligible subsidies, and subsequently a claim in Skillsconnect. For details, please refer to Skillsconnect guide 4.1 & 5.1.

This course is aligned to the National Infocomm Competency Framework (NICF) and accredited by SSG. Absentee payroll and up to 70% SSG funding of the course fee is available for eligible participants (Singapore Citizens and Permanent Residents). Absentee payroll subsidy is available for eligible companies and companies on a short work week system will receive the absentee payroll subsidy based on their employees' current income. Please visit www.ssg.gov.sg for full details.


Certificate of Completion

The ISS Certificate of Completion will be issued to participants who have attended at least 75% of the course.

WSQ Assessment

  • Broad Schedule of Assessment: During the course
  • Passing Criteria: Generally achieve above 50% for quizzes and achieve objectives in the workshops
  • Assessment Method: Workshops and open book quiz 

Upon passing the assessment, Statement of Attainment (SOAs) will be issued to certify that the participant has passed the following Competency Units:

  • IT-STM-501S-1 Evaluate testing methods for statistical model

Participants may need to attend additional coaching sessions and re-assessments if they do not pass the required competency units. ISS reserves the right not to disclose any information on the course assessment process.

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. User ID and password will be provided in the participant’s kit.

Venue

Institute of Systems Science, NUS
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 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 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 isstraining@nus.edu.sg or call 6516 2093 if you have any enquiry or feedback.

Course Resources

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Training Roadmap(s)

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