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Short Course

Using Business Analytics to Answer Business Questions

Programme ScheduleDuration (days)Mode of DeliveryProgramme Code
7 Nov, 14 Nov 2024 | 9am-5.30pm2Synchronous e-LearningTGS-2020504947

Course Overview

Every organisation wants to enhance the value of their business. However, in the current scenario, it’s hard for many organisations to achieve it as they are not backed by solid data. Even if they have a huge amount of data, they are unable to generate actionable intelligence. By the way, it was never just about the data, it is the answers that are important. There could be various reasons for this, including a lack of experience, resources and compelling learning materials. Re-introducing Actionable Intelligence which has the potential to answer the most challenging questions of “Where are we Today”, “Are we winning” and “How to Win Tomorrow”. With the advancements in technology, there are now various tools available which can help in answering these questions. 

The course is focused on the application of business intelligence. There will be business concepts, preparing the data for big data analytics, fundamentals of data visualisation and hands-on practice with BI tool(s). The course will also cover all the necessary concepts in order to perform an analysis with BI tool(s).

Course Objectives

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

  • Understand why business intelligence is important
  • Understand database concepts for working with BI tool(s)
  • Prepare the data for data analytics
  • Apply data visualisation using basic charts
  • Explore different types of visualizations
  • Understand the functionalities of BI tool(s) for Business Intelligence

Who Should Attend

Business analysts and non-technical professionals who are keen to go through the full development cycle of Power BI dashboard.

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

  • SkillsFuture Credit
  • UTAP
  • PSEA
  • Enhanced Training Support
  • SFEC

    • Testimonials


    I enrolled in this course to enhance my knowledge and skills in using business analytics to drive data-driven decision-making. I found the course to be practical and straightforward in delivering key outcomes through hands-on practice. I have benefited from the practical hands-on sessions, and Samantha was also very patient in guiding all students. This course has helped me to frame ideas and guide decision-making through a data-centric approach. I have gained a deeper understanding of the value of business analytics and how it can be leveraged to drive business growth and achieve organisational goals. Additionally, I have acquired new skills that have been useful for my personal development. I decided to attend courses at NUS ACE as NUS had given me free vouchers. Nonetheless, I feel that the course is practical, relevant, and applicable to a wide range of work. The skills learned in this course could help to differentiate you from others at work.

    Xie Nanzheng

    Good pace, and highly recommended course.

    Ray

    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$1,900.00 S$1,900.00 S$1,900.00 S$1,900.00 S$1,900.00
    Less: SSG Grant Amount S$1,330.00 S$1,330.00 S$1,330.00 S$1,330.00 -
    Nett Programme Fee S$570.00 S$570.00 S$570.00 S$570.00 S$1,900.00
    9% GST on Nett Programme Fee S$51.30 S$51.30 S$51.30 S$51.30 S$171.00
    Total Nett Programme Fee Payable, Including GST S$621.30 S$621.30 S$621.30 S$621.30 S$2,071.00
    Less Additional Funding - S$380.00 - S$380.00 -
    Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes S$621.30 S$241.30 S$621.30 S$241.30 S$2,071.00
    1. Total Nett Programme Fee Payable, including GST, after additional funding from various funding schemes.
    2. GST shall apply at prevailing rates.
    3. Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.
    4. Singaporeans and Singapore PRs are eligible for up to 90% SkillsFuture Singapore (SSG) funding, subject to SSG funding guidelines.

    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
    Telephone: +65 6516 5523
    Email: soc-ace@nus.edu.sg

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