Date: 20 Oct 2023 | 9am-5.30pm | Online
Duration: 1 Day
Course Overview
What is Business Analytics and why is it important in leading companies, enterprises and organisations?
Analytics is reshaping industry competition and organisations’ core businesses at an accelerating pace. IDC forecasts the rapid growth of the global datasphere in Data Age 2025 report. In McKinsey Global Survey 2017, respondents say that the changes data and analytics have brought to their industries are growing in both magnitude and scope. Across industries, the use of analytics is increasingly changing the nature of competition in the industries significantly.
Analytics plays a crucial role across industries and within organisations. From identifying business opportunities, gaining deeper insights, making data-driven decisions, ensuring adoption, and growing capabilities, analytics plays a vital role in impactful business outcomes.
Through activities and exploration of case studies, the participants will learn how actionable intelligence works and begin to apply tools, methods, processes and mindsets to their professional workplace.
This module is part of Professional Certificate in Business Analytics and AI for Finance, Retail and Supply Chain.
Learning Outcomes
This course will provide participants with an introduction to what Business Analytics is and its role in business decisions. From these fundamentals, they will then be provided with an overview of current business analytics in the major domains where analytics is being applied, and an introduction to approaches and frameworks for Data & Analytics. Participants will understand what tools and techniques are commonly used and finally explore an exploratory data analysis dashboard for communication to stakeholders.
Topics
- Understand Data Age 2025 & the Analytics landscape and how it impacts business outcomes.
- Analytics in the Intelligence Age: Case studies will be in the form of real-life application of analytics by leading companies, enterprises, and organisations covered in the course.
- Develop a business and digital-orientated mindset and skillset through structured problem solving, business discovery and digital use cases.
- Explore an exploratory data analysis dashboard to communicate with stakeholders
- Make recommendations for an analytics business case.
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.
Course Convener
(Click their photos to view their short biographies)
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.
Course Fees
Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes
Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.
To enquire, email soc-ace@nus.edu.sg
To register, click Register
Course Code:
TGS-2020504952 (Synchronous e-learning)
For members of public and NUS Alumnus (without R&G Voucher), please follow the steps below:
Select Short Course / Modular Course -> Apply for Myself -> Browse Academic Modules / Short Courses-> Module/Course Category -> Short Courses -> Browse Courses-> Advanced Computing for Exe (Faculty/Department / Unit)
Please download the user guide for NUS Online Application Portal after you click ‘Apply for Myself’ if you need assistance.
Course Fee Breakdown
Singapore Citizens
39 years old or youngerSingapore Citizen
40 years old or older