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Short Course

Data Fundamentals on Cloud

Course ScheduleDuration (days)Mode of DeliveryTGS Reference Number
To be advised 2Classroom LearningTGS-2025056536
To be advised2Synchronous e-LearningTGS-2025056535

Course Overview

This course teaches learners the fundamentals of data concepts such as relational, non-relational, analytics and big data in a cloud environment. The Azure Data Fundamentals course is designed for anyone interested in foundational-level knowledge of cloud data. Participants will gain an understanding of Azure core data concepts and services, be able to describe relational data and non-relational data concepts in a cloud environment and how to identify options for data storage and workloads. This course provides practical, hands-on experience, allowing learners to develop essential skills through guided lab practices in the Azure portal.

Course Objectives

This course will enable participants to:

  • Identify options for data storage, common data workloads and roles
  • Learn the relational data concepts and relational database services on Azure
  • Acquire hands-on practice in relational Azure database services
  • Describe capabilities and storage for unstructured data on cloud
  • Acquire hands-on practice in non-relational Azure Cosmo DB

Who Should Attend

Aspiring cloud professionals, data analysts, Information Technology (IT) professionals and managers who want to leverage cloud based data services

Prerequisites

Minimum Diploma

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This programme is part of

  • Professional Certificate in Getting Started with Azure Cloud and Data Analytics

    • Funding Available

  • SkillsFuture Funding
  • Enhanced Training Support
  • SFEC
  • UTAP
  • 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.

    Course Fees


    Singapore Citizens Singapore PRs Enhanced Training Support for SMEs International Participants
    39 years old
    or younger    		 40 years old
    or older
    Full Course Fee S$1,900.00 S$1,900.00 S$1,900.00 S$1,900.00 S$1,900.00
    9% GST on Full Course Fee S$171.00 S$171.00 S$171.00 S$171.00 S$171.00
    SSG Funding S$950.00 S$950.00 S$950.00 S$950.00 -
    Additional Funding if Eligible under Various Schemes - S$380.00 - S$380.00 -
    Total Nett Course Fee Payable, including GST S$1,121.00 S$741.00 S$1,121.00 S$741.00 S$2,071.00
    1. Total nett course fee payable, including GST, after additional funding from various funding schemes.
    2. Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.
    3. The applicable funding is for Singaporeans and Singapore PRs. This is subject to change and in accordance with SSG funding guidelines as of course commencement.