Date: To be advised
Duration: 3 Days
Course Overview
With the increased production of data and the storage and availability of digital data, organizations 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 organization’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 organizations for greater benefits, productivity, and effectiveness.
This module 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)
Assoc Prof Danny Poo
Assoc Prof Danny Poo
Assoc Prof Danny Poo brings with him 35 years of Software Engineering and Information Technology and Management experience. A graduate from the University of Manchester Institute of Science and Technology (UMIST), England, Dr Poo is currently an Associate Professor at the Department of Information Systems and Analytics, National University of Singapore. Prior to joining the University, Dr Poo was with the System Operations at DBSBank, Singapore.
A Steering Committee member of the Asia-Pacific Software Engineering Conference, Dr Poo is actively involved in Information Management and Healthcare Analytics research. A well-known speaker in seminars, Dr Poo has conducted numerous in-house training and consultancy for organizations, both locally and regionally. Dr Poo is the author of 5 books on Object-Oriented Software Engineering, Java Programming language and Enterprise JavaBeans.
Dr Poo notable teaching credentials include:
- Data Strategy
- Data StoryTelling
- Data Visualisation
- Data Analytics
- Machine Learning
- Data Management
- Data Governance
- Data Architecture
- Capstone Projects for Business Analytics
- Software Engineering
- Server-side Systems Design and Development
- Information Technology Project Management
- Health Informatics
- Healthcare Analytics
- Health Informatics Leadership.
Industry Credentials
- Deutsche Bank
- Gemplus
- Micron
- NCR
- PIL
- PSA
- Rhode-Schwarz
- Standard Chartered Bank
- ST Electronic
- Monetary Authority of Singapore
- Infocomm Development Authority
- National Library Board
- Ministry of Manpower
- Nanyang Technological University
- Nanyang Polytechnic
- National University Hospital.
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-2022012359 (Classroom Learning)
TGS-2022012366 (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