Advisory and Updates on COVID-19 (Coronavirus Disease 2019):

(Statistical) Reading and Writing for the 21st Century

In the age of fake news, how do you distinguish facts from fiction?

With an increasing amount of data being available, it is easy for malicious people to present data in a way designed to inflame the public.

Through the 2-day, interactive course, participants will acquire basic statistical literacy skills to enable them to judge the presentation of data on their own merits, based on assumptions made, and in a global context (analogous to reading content and judging whether it is well-written).

Participants will learn skills to present and showcase appropriate results from collected data (analogous to writing good content).


Course Details

Course Dates:
Sorry, no current dates available.

2 days, 9AM to 5PM


Who Should Attend

Designed for participants who want to make sense out of data these days. This programme is especially useful for participants who have no foundation in statistics, but want to be able to discern fact from fiction and to draw correct conclusions from data to present to the public.

Participants should be familiar with computers and comfortable with Microsoft Excel application.

Programme Outline

Learning Objectives

By the end of this course, participants should be able to/can expect to:

  • Read an article, and figure out if there exists any sources of uncertainty or bias
  • Read an article, and figure out if the author is trying to mislead the reader
  • Read an article, and figure out if the author has made any unwarranted assumptions
  • Read an article, and be able to constructively critique it
  • Given data, understand inherent limitations to what data can tell us
  • Given data, be able to present the data to make a compelling (and rigorous) argument
Day 1: Reading
  • Types of Graphics
  • Concept of Averages
  • Significance of sources
  • Flawed Surveys
  • Idea of Correlation
  • Linear Regression
Day 2: Writing
  • Setting up R
  • Reading in Data
  • Plotting Distibution of data
  • Code for Linear Regression

Participants to complete a simple assessment to evaluate course understanding and augment learning outcomes.

Course Fees and Funding

SkillsFuture Course Fee Subsidy

Fee after subsidy

GST on Fee after SSG Course Fee Subsidy

You pay

Mid-career Enhanced Subsidy (MCES)

Fee after subsidy

GST on Fee after SSG Course Fee Subsidy

You pay

Enhanced Training Support for SMEs (ETSS)

Fee after subsidy

GST on Fee after SSG Course Fee Subsidy

You pay

Full Course Fee (without subsidies): $1,926 (inclusive of prevailing GST)


Keegan Kang is a Faculty Fellow in the Science and Maths Cluster at SUTD. He graduated from Cornell University with a PhD in Statistics. Keegan's research interests are in LSH algorithms, machine learning, statistical theory, and educational pedagogy. Keegan is currently exploring using Monte Carlo methods to complement random projections and other LSH algorithms in conjunction with machine learning algorithms to increase their predictive power without incurring a large speed tradeoff.

Keegan is concurrently leading a research project together with Dr Wong Wei Pin and Dr Nachamma Sockalingam on investigating the bottlenecks that students face in mathematics when transitioning to university, and coming up with solutions to resolve these bottlenecks. Read more.

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SSG Funding Terms and Conditions

Use of Personal Details

In consideration of the subsidy provided by SkillsFuture Singapore Agency (“SSG”) through the SUTD Academy for the Course,

I consent to:

The collection, use and disclosure to relevant third parties of my personal data by the SUTD Academy including but not limited to personal particulars, attendance records, assessment/performance records, for the following purposes:

  1. Reporting of national statistics and conducting of holistic continuing education training research and analysis;

  2. Facilitate the conduct of the relevant surveys and audits in relation to the Course;

  3. General administration of the Course including but not limited to processing of the subsidy provided by SSG;

  4. Publicity and marketing of the Course or other Courses to be provided by SSG or SUTD Academy; and

  5. SSG or its Appointed Auditors or Nominated Representatives to directly contact Course Participant to obtain information deemed necessary for the purposes of conducting effectiveness survey or audits in relation to the Course.

I agree to:

  1. Attend and complete all lectures, class exercises, workshops and assessments;

  2. Complete the Course feedback at the end of the Course;

  3. Complete the post Course survey sent about 3 to 6 months after class attendance; and

  4. Sign up for a personal email account.

SUTD Privacy Statement

For more information on SUTD's privacy statement, please visit

SUTD Terms and Conditions

Methods of Payment

Learn more about the available payment modes.

Cancellation & Refund Policy

  1. If a written notification is sent to within 24 hours after course registration deadline there will be no cancellation charges. A full refund will be made. 

  2. No refund is provided if written notification is more than 24 hours after course registration deadline. SUTD Academy reserves the rights to collect the full fee amount from the participant.

Replacement Policy

Companies may replace participants who have signed up for the course by giving a 3-working day notice before the course commencement date to Terms and conditions apply.

Registration Policy

  1. Course may be cancelled due to insufficient participants. SUTD Academy will not be responsible or liable in any way for any claims, damages, losses, expenses, costs or liabilities whatsoever (including, without limitation, any direct or indirect damages for loss of profits, business interruption or loss of information) resulting or arising directly or indirectly from any course cancellation.

  2. Course enrolment is based on a first-come, first-served basis.

  3. SUTD Academy reserves the right to change or cancel any course or instructor due to unforeseen circumstances. 

Types of Funding

Funding under Mid-Career Enhanced Subsidy ("MCES")

  1. MCES is an enhanced Subsidy to encourage mid-career individuals to upskill and reskill, thereby helping them to remain competitive and resilient in the job market. With this, all Singaporeans aged 40 and above will receive higher subsidies of up to 90% course fee subsidy for SSG-funded certifiable courses.

  2. Individuals/employers are not required to submit an application for the MCES. Those pursuing SSG-funded programmes will be charged the appropriate subsidised fees by SUTD Academy if they are eligible MCES. Individuals/employers will only need to pay the nett fee (full course fee after SSG's grant).

    For more info, please visit  SkillsFuture website at

Funding under Enhanced Training Support for SMEs ("ETSS")

  1. ETSS is an enhanced funding to enable SMEs to send their employees for training.

  2. SMEs will enjoy subsidies of up to 90% of the course fees when they sponsor their employees for SSG-funded certifiable courses.

  3. In addition to higher course fee funding, SMEs can also claim absentee payroll funding of 80% of basic hourly salary at a higher cap of $7.50 per hour. SMEs may apply for the absentee payroll via the SkillsConnect system.

  4. To qualify, SMEs must meet all of the following criteria:
    - Organisation must be registered or incorporated in Singapore
    - At least 30% local shareholding by Singapore Citizens or Singapore Permanent Residents
    - Employment size of not more than 200 (at group level) or with annual sales turnover (at group level) of not more than $100 million
    - Trainees must be hired in accordance with the Employment Act and fully sponsored by their employers for the course
    - Trainees must be Singapore Citizens or Singapore Permanent Residents

    For more info, please visit SSG website at

Funding under Union Training Assistance Programme ("UTAP")

UTAP is a training benefit for NTUC members to defray their cost of training. This benefit is to encourage more union members to go for skills upgrading.

NTUC members enjoy 50% unfunded course fee support for up to $250 each year when you sign up for courses supported under UTAP (Union Training Assistance Programme).

For more info, please visit