NICF- Statistics Bootcamp Using R and Tableau

Overview

Making data-driven decisions will enable better performance for an organisation, according to a study led by MIT Centre for Digital Business (Strength in Numbers). However, the current business practice today is still heavily reliant on intuition even with the presence of substantial amount of data. This course aims to train you to effectively use R and Tableau 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, and Tableau, a popular tool 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 practised in Tableau including creating graphs and dashboards. 

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 offered by NUS-ISS.
  • NICF- Statistics Bootcamp Using R and Tableau
  • NICF- Statistics Bootcamp Using R and Tableau

Enquiry

Please contact Ms. Winnie YONG at tel: 65162098 or email for more details.

Facts

Class Time: 9am - 5pm

Upcoming Classes

Class 125 Jun 2018 to 29 Jun 2018 (Full Time)

Duration: 5 days

Time:
9am - 5pm

Class 209 Jul 2018 to 13 Jul 2018 (Full Time)

Duration: 5 days

Time:
9am - 5pm

Class 322 Oct 2018 to 26 Oct 2018 (Full Time)

Duration: 5 days

Time:
9am - 5pm

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:

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

This course is designed for: 

  • Individuals with some IT background and would like to learn statistics with the latest tools, i.e., R and Tableau.
  • 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 be familiar with the state-of-the-art analytic techniques.

Pre-requisites

  • Knowledge or familiarity with basic statistics and programming will be useful
  • Visualising and summarising data for quick insights
  • Compare and evaluate different business strategies
  • Prediction based on relevant factors
  • Introduction to big data analytics
  • Presenting and reporting analysis results

Format

Lectures and workshops

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 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.

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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