Intermediate Courses

  • Course Outline

Data Analytics Continues With Me

This course is eligible for SkillsFuture Singapore (SSG) funding.
Course Reference No: TGS-2022013669 (Classroom Learning), TGS-2022014313 (Synchronous e-Learning)

  • Course Objectives

In today’s highly dynamic business environment, companies in virtually every industry are looking to transform data into actionable business insights. Having the suitable data and analytical skills provides an unbeatable edge. This course provides an overview of intermediate concepts and tools one will need throughout the data science pipeline, preparing participants to tackle data analytics challenges. It builds on the foundations gained in Data Analytics Begins with Me.

Throughout the two-day course, participants will learn about the main concepts and tools in a data scientist’s toolbox. We will first revisit the basic analytical methods covered in Data Analytics Begins with Me and learn about how to further improve them. Then, we will introduce intermediate machine learning models and algorithms, such as principal component analysis and textual analysis. The goal is to better understand trends and, ultimately, translate data into actionable knowledge.

To demonstrate the application of these algorithms and reinforce the skills attained, there will be a focus on practical methods that leverage the data analytics software, Orange. During the hands-on sessions, we will walk through the best practices in data analytics.

 

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

  • Understand the best practices for data science workflows.
  • Acquire a deeper understanding of the basic machine learning models to gain additional insights into your data.
  • Learn about intermediate machine learning models and algorithms, including regression, classification, clustering, and principal component analysis, and text analysis.
  • Apply these learning models through hands-on sessions.
  • Analyse datasets that hold real-world implications.
  • Outline
  • The data analytics process
  • Introduction to machine learning
    • Supervised and unsupervised learning methods
  • Hands-on sessions:
    • Exploratory data analytics and regression analysis
    • Classification analysis
    • Unsupervised learning models

 

Assessments may comprise of mini-projects, presentations, workshop assignments or quizzes, etc.

 

 

  • Who Should Attend

Data Practitioners (Analysts, Scientist, etc.)

  • Pre-Requisites

The participant must have completed & attended the 1-day NUS Data Analytics Begins with Me course.

  • Software Tools

Orange

  • Mode of Training

On-campus 

  • Course Details
Dates:

30-31 March 2026
Duration: 2 Days, 9.00am to 5.00pm
Venue:

Blk S16, 6 Science Drive 2, Level 2, Active Learning Room, Singapore 117546
Course Calendar:

PDF

*Please note that registration will be closed 2 weeks before the course start date, or when the registration has reached maximum capacity, whichever earlier.

  • Course Fees
Course fee BreakdownInternational ParticipantSingapore Citizen 39 years old or youngerSingapore Citizen 40 years or older eligible for MCESSingapore PRsEnhanced Training Support for SMEs
Total Nett Programme Fee after 9% GST + additional funding from the various funding schemesS$2,071.00S$621.30S$241.30S$621.30S$241.30
Course Fee Breakdown
  • Instructor Profiles

DR BENJAMIN LEE

MS CHUA BEE LUAN

  • Course Registration

You may register for the available short courses here:

LifeLong Learning Portal (L³AP)

For Self-Sponsored applicants: You may find the guide here:  https://guide.l3ap.nus.edu.sg/learner/index.htm 

For Corporate-Sponsored applicants: If your application is corporate-sponsored, your HR or billing contact will need to generate a registration link for you, as we no longer accept manual registration forms. They can refer to this link for guidance: https://guide.l3ap.nus.edu.sg/company/index.htm

  • Contact Us

For all Short Courses and Professional Certificates related, please email us at fos.shortcourses@nus.edu.sg.

  • FAQs

Registration will close two weeks before commencement date or when the registration is full, whichever earlier. You’ll be placed on wait-list once the registration has reached maximum capacity. You’ll be notified 1 week before course commences if you managed to secure a placement. If you do not hear from us, your placement is unsuccessful.

An acknowledgement email will be sent to you.

No. The acknowledgment email is to inform you that the registration is submitted successfully. Your registration is still required to be processed by the short course coordinator internally. Should you have any queries pertaining to your registration, or have any changes to be made, please email us.

  • The short course coordinator must be notified in writing of all requests for withdrawals and deferment at least 7 days before the run.
  • If you have accepted the offer to a short course programme run, but find that you are unable to attend, you should notify us by writing to fos.shortcourses@nus.edu.sg.
  • Applicants may postpone participation and request for deferment to other course runs, subject to availability.
  • Requests for cancellation will be considered on a case-by-case basis, and refunds may be issued.

Please refer to the ‘Course Fees’ section in the course brochure.

Yes. All Singapore Citizen/SPR attending SSG funded courses will be eligible for SSG Funding, provided you have not taken the same course before.

In addition, you must meet the criteria:

    • Achieve a ‘Competent’ grade in all assessment(s)

The course fees will automatically be tabulated with the relevant SSG funding based on your eligibility. No action is required from the participant/company except to ensure that the participant meets the two criteria stated above.

Yes. Once an offer of placement has been granted for your application, you will have to accept the offer via L3AP and make the payment via your SkillsFuture credits. Payment is not required upfront during registration.

  • Visa, Mastercard, Amex or Alipay
  • PayNow (a QR code will be displayed during payment)
  • SkillsFuture credits (you will be required to submit an SFC claim upon making payment, you will be redirected to an external link for you to authenticate using Singpass on SFC website)
  • PSEA

Once your registration has been processed and an offer of placement has been granted to you, you will receive an automated email for you to accept the offer on L3AP.

Once you have accepted the offer, you will be directed to the payment page. 

Yes. The mode of assessment is up to the CET instructor’s discretion. It may be a reflection paper, quiz, presentation, or based on classroom activities. You will be required to achieve a ‘Competent’ grade for the assessment(s).

You will be notified by the short course coordinator if you did not achieve “Competent” for the short course. You may be offered for a deferment for the next available class.

Yes. An e-certificate will be issued upon successful completion of the course.

 

  • For self-sponsored applicants: The e-certificate will be issued within 20 working days from the course end date.
  • For company-sponsored applicants: The e-certificate will be issued within 20 working days from the date payment is received.

The name on the e-certificate will be issued according to the full name as per registration.

DR BENJAMIN LEE

Senior Lecturer

Benjamin Lee is a Senior lecturer in Data Analytics and Visualization with the School of Continuing and Lifelong Education (SCALE) at NUS.
He has over 30 years’ experience in IT and information management. His career roles span CIO, Director of IT services, Strategy and Planning, Project management, Applications development, Systems engineering, Data management and IT outsourcing. Business and Industry experiences include electronic business development, implementation of business process re-engineering and functional support for Finance, HR, Manufacturing, Retail and mergers/acquisitions in Oil and Gas. He has been actively involved in data and information management since 2000 and has successfully implemented global projects covering data warehouses, management information systems, data analytics and e-business systems. In those projects, Ben had applied data analytics to improve resource management and sales profitability with better understanding of customers, products and services.
Ben has been teaching information & data management and business analytics classes since 2016. He holds a Doctorate in Business Administration from the University of Western Australia. He also has Masters in Business Research and Physics and a Bachelors in Law. He has a strong interest and passion for data analytics, visualization and e-business.

MS CHUA BEE LUAN

Senior Lecturer

Chua Bee Luan is a Senior Lecturer in Data Analytics and Visualization with the Department of Statistics and Data Science at the National University of Singapore, Faculty of Science.

Bee Luan is a passionate educator with nearly two decades of teaching experience in an institute of higher learning. She taught modules in Business Analytics, Data Visualization, Website Design, Business Software, Statistical Methods and Calculus. In her capacity as a lecturer, Bee Luan was involved in developing FutureReady certification courses and conducting SkillsFuture for Digital Workplace courses for the adult learners in the banking and aviation industries. In support of the NUS resilience and growth (R&G) initiative, she also provides training for fresh graduates so that they can continue to learn in the uncertain times of COVID-19. Prior to teaching, Bee Luan began her career in the IT industry in multiple roles, from project management to IT consulting in both MNC and SME companies. She had provided consulting services to her clients to streamline their business processes and had successfully rolled out numerous company-wide Enterprise Resource Planning (ERP) projects for companies mostly in trading and manufacturing industries.

Bee Luan graduated with a Bachelor of Science with Honours, double major in Computational Science and Mathematics from NUS. She also holds a Master in Business Administration in Strategic Management from the Nanyang Technological University and had obtained a Certificate in Teaching & Learning (Higher Education). Teaching has always been her passion and Data Analytics is her new area of interest.