Data Engineering Fundamentals
Dates: To be advised
Duration: Two days
Course Overview
This course teaches important data engineering concepts including ecosystem and lifecycle. It will introduce different components of data engineering ecosystems such as data types, formats and data sources. Learners will acquire required data engineering knowledge and be able to differentiate various career paths such as data engineer, data scientist and data analyst.
This course is part of Professional Certificate in Data Engineering Foundations.
Course Objectives
This course will equip learners with the following competencies:
- Foundations of data engineering
- An understanding of systems, processes and tools for a data engineer
- An understanding of the data engineering ecosystem
- The ability to differentiate different job roles such as data engineer, data scientist and data analyst
Minimum Entry Requirement
Diploma Holder
Course Convener
(Click their photos to view their short biographies)
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
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 Codes
TGS-2023017991 / TGS-2023017992 (Synchronous e-learning)
Singapore Citizens
39 years old or youngerSingapore Citizen
40 years old or older