Overview
According to Data Management Body of Knowledge by DAMA International (DAMA-DMBoK), data management is the development, execution, and supervision of plans, policies, programs, and practices that deliver, control, protect and enhance the value of data and information assets throughout their lifecycles. Data management professionals fill numerous roles, from the highly technical (such as database administrators, programmers) to strategic business (such as data stewards, data strategist, chief data officer).
Based on Hype Cycle for Data Management, 2020 published by Gartner in July 2020, it is noticed that data management continues to be the central theme in the move toward digital business. The most significant effect of digital business maturity is the demand for a combined data storing and data integration style of data management.
Use of Generative AI supercharges data management by augmenting data management and data governance tasks, such as creating synthetic data, and enforcing governance policies. This frees up resources, improves data quality, and simplifies compliance, leading to better decision-making.
This course is designed to equip data and analytics professionals with the essential and latest skills to understand and implement data manipulation and management. They will gain practical understanding and implementation of data management for analytics, business intelligence and data science activities. Data and analytics professionals will learn to apply different emerging data management technologies and techniques.
Four key areas to be covered are:-
- Introduction to Data Management for Analytics
- Data Modelling and Design
- Data Integration and Interoperability
- Data Quality, Security and Privacy
This course is part of the Data Science Series and Graduate Certificate in Analytics Project Management offered by NUS-ISS.
Upcoming Classes
Class 1: 13 to 16 Oct 2025
Duration: 3 Days
When: Oct 13, 14, 16
Mode of Conduct: Face-to-Face
Time: 9:00am to 5:30pm
Class 2: 21 Feb to 7 Mar 2026
Duration: 3 Days
When: Feb 21, 28, Mar 7
Mode of Conduct: Face-to-Face
Time: 9:00am to 5:30pm
Registration Instructions
Self-sponsored Participants
- Register for the course by clicking on the "Register Now" button above
- You may refer to the User Guide for Learner
Company-sponsored Participants
- You will have to be registered for the course by someone from your company who has an account on the LifeLong Learning Portal (L³AP)
- The person in-charge may register you for the course by:
- Generating a corporate registration link for you to register for the course
- After the link is generated, you must:
- Log in to L³AP by clicking on the "Register Now" button
- Click on the corporate registration link after logging in
- If you do not follow the above instructions, you will be registered for the course as self-sponsored
- Registering you for the course backend
- You will still be required to log in to L³AP and complete your registration by clicking on the "Register Now" button above
- You may refer your HR/L&D POC to the User Guide for Company