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Short Course

Making Fast Decisions with Business Analytics

Programme ScheduleDuration (days)Mode of DeliveryProgramme Code
To be advised1Synchronous e-LearningTGS-2020504952
This course is offered biannually, available once every six months.

Course Overview

Achieving the dream that business intelligence practitioners have been chasing since the concept itself came into being. Leveraging big data, the course provides the expert guidance on the essential first steps a company needs to take in order to developing an analytical ecosystem to effectively manage the internal and external information to deliver business results fast.

Course Objectives

At the end of the course, participants will able to

  • Understand what Business Analytics is and its role in business decisions
  • Understand the approaches and frameworks for Data Analytics
  • Understand what tools and techniques are commonly used
  • Explore an exploratory data analysis dashboard for communication to stakeholders

Who Should Attend

Any working professional who is interested to learn how to make data-driven decisions and understand how analytics is impacting business and its implications; to build an analytics business case. As it is an introductory course, learners do not have to be an IT expert or programmer to attend it.

Technical Requirements

Participants should have a windows system that supports Microsoft Power BI Desktop.

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This programme is part of

  • Professional Certificate in Data-Driven Business Decisions and FinTech Strategies

    • Types of Available Fundings

  • Enhanced Training Support
  • SFEC
  • UTAP
  • PSEA

    • Instructors


    Ms Samantha Sow

    Ms Samantha Sow

    Ms. Samantha Sow is currently a Senior Lecturer in the department of Information Systems and Analytics at the National University of Singapore (NUS). She has over 8+ years of experience in Business Analytics and Data Science and she conducts training for both government agencies and corporate clients. Before joining NUS, she lectures at Temasek Polytechnic, teaching Business Analytics and Data Science to professionals, managers and executives (PMEs). Prior to being an academia, Samantha worked in the research and development at Infineon Technologies. Her research and project areas include Business Analytics, Data Mining, Predictive and Prescriptive Analytics. She has a passion for engaging and inspiring participants to enhance their workplace analytics capabilities and increase business intelligence quotient within their organisations. Her interests lie in the applications of data analytics, predictive modelling and optimization techniques to derive actionable insights for commercial effectiveness. She is familiar with typical analytics tools such as Python, R, and SAS, SPSS and Tableau. She also has working knowledge in the area of Analytics, Data Science and Machine Learning. Samantha completed her Master of Education from University of Sheffield and graduated from the National University of Singapore with a Bachelor’s in Engineering, First Class Honours. She has also completed THEC (Teaching in Higher Education) and ACTA (Advanced Certificate in Training and Assessment). She is a member of the adult associate educator (AEN) by Institute for Adult Learning (IAL), Singapore. Her certifications include: Microsoft Certified Azure Data Scientist Associate. Microsoft Certified Data Analyst Associate. SAS Certified Predictive Modeller in SAS Enterprise Miner. Tableau Certified Desktop Specialist.

    Programme Fees


    Singapore Citizens Singapore PRs Enhanced Training Support for SMEs International Participants
    39 years old
    or younger    		 40 years old
    or older
    Full Programme Fee S$850.00 S$850.00 S$850.00 S$850.00 S$850.00
    Less: SSG Grant Amount S$595.00 S$595.00 S$595.00 S$595.00 -
    Nett Programme Fee S$255.00 S$255.00 S$255.00 S$255.00 S$850.00
    9% GST on Nett Programme Fee S$22.95 S$22.95 S$22.95 S$22.95 S$76.50
    Total Nett Programme Fee Payable, Including GST S$277.95 S$277.95 S$277.95 S$277.95 S$926.50
    Less Additional Funding - S$170.00 - S$170.00 -
    Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes S$277.95 S$107.95 S$277.95 S$107.95 S$926.50
    1. Total Nett Programme Fee Payable, including GST, after additional funding from various funding schemes.
    2. Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.
    3. Please note that all external funding for courses is limited in duration and subject to eligibility and availability.

    Other Information

    This course is eligible for Union Training Assistance Programme (UTAP). NTUC members can enjoy up to 50% funding (capped at $250 per year) under UTAP. NTUC members aged 40 and above can enjoy higher funding support up to $500 per individual each year, capped at 50% of unfunded course fees, for courses attended between 1 July 2020 to 31 December 2025. Please click here for more information.

    Advanced Computing for Executives

    11 Research Link
    COM 3, #B1-07
    Singapore 119391
    Email: soc-ace@nus.edu.sg

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