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Professional Certificate

Professional Certificate in Data Engineering Foundations

Programme Structure


Programme NameProgramme ScheduleMode of DeliveryProgramme Code
Data Engineering Fundamentals16 Sep, 17 Sep 2024 | 9am – 5.30pmClassroom LearningTGS-2023017991
Python for Data Engineering23 Sep, 24 Sep 2024 | 9am-5.30pm Classroom LearningTGS-2023017999
Databases for Data Engineering30 Sep, 1 Oct 2024 | 9am-5.30pmClassroom LearningTGS-2023017995
Duration 6 days

Programme Overview

The Professional Certificate in Data Engineering Foundations provides a strong foundation for individuals entering the field. Participants gain a comprehensive understanding of core concepts like data pipelines, lifecycles, and various data formats, while also differentiating between data engineer, data scientist, and data analyst roles. The programme equips participants with essential Python programming skills tailored for data manipulation, acquisition, and ingestion within data engineering tasks, including the ability to work with relevant APIs and libraries. Finally, the programme explores the crucial role of databases, teaching participants how to leverage Python for database connections and master advanced SQL concepts like stored procedures, ACID transactions, and joins, enabling effective database interaction. Upon completion, participants will possess a good foundation in data engineering principles, essential Python skills for data engineering tasks, and database handling skills, preparing them for further exploration within the field.

Programme Objectives

This Professional Certificate will equip learners with the following competencies:

  • Foundations of data engineering ecosystem and lifecycle
  • Essential Python skills for data engineering
  • Role of databases in data engineering and advanced Structures Query Language (SQL) concepts needed for a data engineer

This programme will prepare learners for roles in data analysis, data engineering and data science. Course participants will learn about core data engineering concepts and the foundational requirements needed to become data engineers.

Job Role Readiness

It will prepare learners for the following job roles :

  • Data Analysts
  • Data Engineers
  • Data Scientists

Who Should Attend

Professionals and mid-career PMETs.

Prerequisites

Diploma Holder

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This programme is part of

  • Advanced Professional Certificate in Data Engineering

    • Instructors


    Dr Yeo Wee Kiang

    Dr Yeo Wee Kiang

    Dr Yeo Wee Kiang is a Senior Lecturer at the Department of Information Systems and Analytics in the NUS School of Computing, where he is dedicated to researching the use of technologies like Adaptive Learning and Large Language Models (LLMs) to create personalized and engaging computing education experiences. With a PhD from NUS focused on machine learning and data mining for pharmaceutical drug discovery, Dr Yeo brings practical industry experience as the former Director of Data Science at a food tech startup, where he led a team applying AI and machine learning to enhance nutritional value. His diverse background includes being an Adjunct Lecturer in the Department of Economics at NUS Faculty of Arts and Social Sciences, helming the Big Data Analytics module in the Master of Economics programme from 2019 to 2023, and teaching Python programming and data analytics at Nanyang Business School. Prior to his academic appointments, Dr Yeo was the Lead Instructor for Data Science at a New York-based commercial Continuing Education and Training (CET) provider, teaching aspiring adult learners in Hong Kong, Sydney, and Singapore. He also holds the WSQ Advanced Certificate in Training and Assessment (ACTA) from the Institute for Adult Learning Singapore. As part of the NUS ACE (Advanced Computing for Executives) teaching team, Dr Yeo specializes in technical training and practical computing education focused on data analytics, machine learning, and Python, aiming to equip professionals with in-demand Data Science skills.

    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 the 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. GST shall apply at prevailing rates.

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    11 Research Link
    COM 3, #B1-07
    Singapore 119391
    Telephone: +65 6516 5523
    Email: soc-ace@nus.edu.sg

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