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Professional Certificate

Professional Certificate in Getting Started with Azure Cloud and Data Analytics

Programme Structure


Programme NameProgramme ScheduleMode of DeliveryProgramme Code
Cloud Computing with Azure22 and 23 January 2025 | 9 am - 5.30 pmClassroom LearningTGS-2024041272
Data Fundamentals on CloudTo be advised Classroom LearningTGS-2024041284
Data Analytics on Azure CloudTo be advisedClassroom LearningTGS-2024041287
Duration 6 days

Programme Overview

The Professional Certificate in Getting Started with Azure Cloud and Data Analytics empowers learners with essential competencies to build a strong foundation in cloud technologies and data storage services. Throughout this comprehensive program, participants will develop expertise in Azure architecture and its cloud services, such as compute and networking, identity, access and management, governance and security. Participants will apply data analytics on Azure databases and storage services using relational and non-relational data concepts. Additionally, learners will explore advanced topics including Big Data, Lakehouse architecture, and serverless SQL to confidently leverage Azure’s cloud capabilities for data-driven decision-making in organisations.

Programme Objectives

This Professional Certificate will equip learners with the following competencies:

  • Learn the basics of fundamental cloud concepts and cloud data services
  • Apply foundational knowledge of cloud data services within Microsoft Azure
  • Learn the relational data concepts and relational database services on Azure
  • Learn the non-relational data concepts and non-relational database services on Azure
  • Understand Big Data and Lakehouse architecture and serverless SQL

Job Role Readiness

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

  • Data Analysts
  • Associate Data Engineers
  • Data Engineers
  • Azure Data Engineers

Who Should Attend

This programme is designed for professionals and mid-career PMETs.

Prerequisites

Minimum Diploma required with English Language proficiency.

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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.

Programme Fees


Singapore Citizens Singapore PRs Enhanced Training Support for SMEs International Participants
39 years old or younger 40 years old or older
S$1,863.90 S$723.90 S$1,863.90 S$723.90 S$6,213.00
  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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