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Professional Certificate

Professional Certificate in Database Management

Programme Structure


Programme NameProgramme ScheduleMode of DeliveryProgramme Code
Data and Database SystemsTo be advisedClassroom LearningTGS-2022012370
Relational Database DesignTo be advisedClassroom LearningTGS-2022012372
Database Creation, Manipulation, and Querying with SQLTo be advisedClassroom LearningTGS-2022012358
NOSQL Database and MongoDBTo be advisedClassroom LearningTGS-2022012349
Duration 7 days

Programme Overview

This programme offers a compelling opportunity for professionals seeking to establish themselves in the realm of data management and analytics. In an era where data is the lifeblood of organisations, understanding how to effectively store, manipulate, and query data is critical. The programme equips participants with a comprehensive skill set, beginning with fundamental knowledge about data and big data, and how to store them in relational databases. Participants will learn the art of designing relational databases and gain insights into the world of NoSQL and MongoDB databases. The course also covers SQL, a fundamental language for data manipulation and querying. Whether you are looking to move into database management or simply have an interest in this area, this course offers a solid foundation for understanding the principles and practices of database management. This educational journey is a valuable investment in your career and opens doors to exciting opportunities in the data-driven world of today’s organisations.

Programme Objectives

This Professional Certificate will equip learners with the following competencies:

  • Learn what is data, big data, and how to store them in relational databases
  • Learn how to design a relational database
  • Learn what is NoSQL and MongoDB database
  • Learn what is SQL and how to manipulate databases with SQL
  • Learn how to design and manipulate MongoDB database

Job Role Readiness

It will prepare learners in the following job roles to perform their responsibilities more effectively. It will also prepare learners for the following job roles:

  • Data Analysts
  • Business Analysts

Prerequisites

  • Professionals and mid-career PMETs who are looking to pivot into database management, and learners with interest in this area
  • At least a polytechnic diploma
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This programme is part of

  • Advanced Professional Certificate in Data Engineering

    • Types of Available Fundings

  • Enhanced Training Support
  • SFEC
  • PSEA

    • 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.

    A/Prof Danny Poo

    A/Prof Danny Poo

    A/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 five 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.

    Programme Fees


    Singapore Citizens Singapore PRs Enhanced Training Support for SMEs International Participants
    39 years old or younger 40 years old or older
    S$2,174.55 S$844.55 S$2,174.55 S$844.55 S$7,248.50
    1. Total Nett Programme Fee Payable, including GST, after additional funding from various funding schemes.
    2. Participants must fulfill at least 75% attendance and pass all assessment components for all short courses within a professional certificate in order to be eligible for SSG funding.
    3. Please note that all external funding for courses is limited in duration and subject to eligibility and availability.

    Advanced Computing for Executives

    11 Research Link
    COM 3, #B1-07
    Singapore 119391
    Email: soc-ace@nus.edu.sg

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