NICF- Statistics Bootcamp

Overview

This course aims to train you to effectively use R in your statistical analysis for accurate and impactful data-driven decision making.

The Statistics Bootcamp is more than just an introduction to statistics, it teaches you how to use R, a command driven language for quick visual analytics. In addition, you will be presented with multiple business cases that will be solved in the course of lecturing and hands-on workshops.

The lecturers will give extensive illustrations of statistical principles and techniques. Each statistical technique taught will be demonstrated using R so that you can practise R programming in a series of workshops. In addition, you will get to dabble with data visualisation including creating graphs. 

Ultimately, you will gain insights into how to use statistics to answer your business questions. 

This course is part of the Analytics & Intelligent Systems Series and MTech EBAC Stackable foundation certificate offered by NUS-ISS.

*This course is primarily run using R. However if needed, course can be run using other software  as well (for example: SPSS, JMP)*



Upcoming Classes

Class 1 21 Jan 2019 to 25 Jan 2019 (Full Time)

Duration: 5 days

Time:
9am - 5pm

Class 2 22 Apr 2019 to 26 Apr 2019 (Full Time)

Duration: 5 days

Time:
09:00am to 05:00pm

Class 3 06 May 2019 to 10 May 2019 (Full Time)

Duration: 5 days

Time:
09:00am to 05:00pm

Class 4 01 Jul 2019 to 05 Jul 2019 (Full Time)

Duration: 5 days

Time:
09:00am to 05:00pm

Class 5 16 Sep 2019 to 20 Sep 2019 (Full Time)

Duration: 5 days

Time:
09:00am to 05:00pm

Class 6 14 Oct 2019 to 18 Oct 2019 (Full Time)

Duration: 5 days

Time:
09:00am to 05:00pm

Class 7 17 Feb 2020 to 21 Feb 2020 (Full Time)

Duration: 5 days

Time:
09:00am to 05:00pm



Key Takeaways

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

  • Use R functions for statistical analysis
  • Be proficient in interactive visual analytics
  • Compare and evaluate different business strategies
  • Make predictions based on relevant factors
  • Make better data-driven decisions




Who Should Attend

This course is designed for: 

  • Individuals with some IT background and would like to learn statistics with the latest tools, e.g. R
  • Individuals who have learnt statistics a long while ago and would like to refresh or update their statistics knowledge
  • Individuals who have no knowledge or experience in business analytics but would like to explore work opportunities in analytics.
  • Organisation users who need to begin their journey to master the state-of-the-art analytics techniques.

Pre-requisites

  • Knowledge or familiarity with basic statistics and programming will be useful



What Will Be Covered

  • Visualising and summarising data for quick insights
  • Compare and evaluate different business strategies
  • Prediction based on relevant factors
  • Industry application examples

Format

Lectures and workshops




Fees & Funding

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$4000

S$4000

S$4000

S$4000

SSG grant

-

(S$2800)

(S$2800)

(S$2800)

Nett course fee

S$4000

S$1200

S$1200

S$1200

7% GST on nett course fee

S$280

S$84

S$84

S$84

Total nett course fee payable, including GST

S$4280

S$1284

S$1284

S$1284

Less additional funding if eligible under various schemes

-

-

(S$800)

(S$1000)

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

S$4280

S$1284

S$484

S$284


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$4000

S$4000

S$4000

S$4000

S$4000

SSG grant

-

(S$2800)

(S$2800)

(S$2800)

(S$2800)

Nett course fee

S$4000

S$1200

S$1200

S$1200

S$1200

7% GST on nett course fee

S$280

S$84

S$84

S$84

S$84

Total nett course fee payable, including GST

S$4280

S$1284

S$1284

S$1284

S$1284

Fee payable to NUS-ISS

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

-

-

(S$800)

(S$1000)

(S$800)

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

-

-

S$484

S$284

S$484

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

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-IM-302S-1 Analyse data and generate reports
  • IT-IM-502S-2 Analyse report and trends

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.




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. 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.




Instructors

Mr. Cai Yuhao

Associate Lecturer & Consultant, Analytics & Intelligent Systems Practice View Profile >

Mr. GU Zhan

Lecturer & Consultant, Analytics & Intelligent Systems Practice View Profile >

Mr. Neumann CHEW

View Profile >

Mr. Prakash Chandra SUKHWAL

Associate Lecturer & Consultant, Analytics & Intelligent Systems Practice View Profile >

Dr. TAN Jen Hong

Lecturer & Consultant, Analytics & Intelligent Systems Practice View Profile >

Course Resources

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