Dates: 8 Nov, 17 Nov, 20 Nov 2023 | 9am – 5.30pm | Classroom Learning
Duration: 3 Days
Course Overview
With the increased production of data and the storage and availability of digital data, organisations have become more of a data business. By “data business”, organizations can make use of the data it has stored to make better decisions and improve its operations, or it can turn data into its additional business by monetizing the data it has. Big Data Analytics is no longer a “good to have” feature in any organisation’s suite of functions, it has become a “must have” activity. The key question has become “How could organizations turn Big Data Analytics into common practices?”. Focused on the understanding of Big Data Analytics, this course explores how organizations could use their well-captured data to strategize and reshape their organisations for greater benefits, productivity, and effectiveness.
This course is part of Professional Certificate in Data Strategy and Storytelling.
Course Objectives
Course will enable participants to:
- Understand what big data is and how Big Data Analytics can help organizations achieve a competitive advantage.
- Appreciate the benefits and insights that Big Data Analytics bring to the organizations.
- Learn how to make strategic use of the data available in organizations.
- Learn how to use data to improve business decisions and operations.
- Learn how to monetize data to increase the organization’s revenue.
Who Should Attend
Data Analysts
Prerequisites
Diploma (or equivalent) with 3 years working experience, preferably in the IT industry
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 Codes
TGS-2022012359 (Classroom Learning)
TGS-2022012366 (Synchronous e-learning)
Course Fee Breakdown
Singapore Citizens
39 years old or youngerSingapore Citizen
40 years old or older