Engineering Data For Business Insights

Enquiry
Programme Code D281
Domain
Applications Management
Data Engineering
Level
Advanced
Learning Partner(s)
Nanyang Polytechnic
Duration
8 Days
Format In-person
Rating
Competencies
Data Management & Analytics
Job Roles
ICT&SS Professional

Overview

Empower your ability to leverage and manage data in a rapidly evolving digital landscape. Gain the latest data engineering skills and trends to drive informed decisions and strengthen operational effectiveness. Build Level 3 data analytics competencies and apply practical techniques to navigate modern data challenges. Enhance your data engineering capabilities to deliver meaningful business insights and support digital transformation.

Key Takeaways

At the end of this programme, you will be able to:
  • Comprehend the importance of Data Engineering in modern analytics
  • Design effective Data models to store business data and information
  • Implement Big Data Solutions to address real-world challenges
  • Apply Data Governance concepts in practical scenarios
  • Deploy ETL Techniques for big data processing
  • Evaluate data security measures and principles
  • Develop a Capstone Project on Data Engineering Solution

Who Should Attend

  • Please refer to the job roles section.

Prerequisites

  • You should be familiar with cloud platforms, particularly Amazon Web Services (AWS). Knowledge of deploying applications on the cloud is a bonus.
  • You should have prior knowledge in one or more high-level programming languages and be comfortable with doing hands-on programming tasks during the training. Working experience with using Python and Structure Query Language (SQL) would have added advantages.

Programme Structure

This programme will cover the following topics:

  • Data Engineering, Governance and Architecture
  • Cloud Architecture, Storage, Services
  • Data Vault, Virtualisation, Fabrics and Mesh
  • Conceptual and Logical DB Design
  • Data Warehouse, Design, Lifecycle, Storing and Analysing
  • Access and Analyse Data on Data Lake
  • Data Pipelines
  • Data Preparation and Training Model
  • Analysing and Visualising Data
  • Introducing Generative AI
  • Introducing Data Lakehouse
  • Data Processing using Programming
  • Advanced Data Processing Techniques
  • Data Management
  • Data Security
  • Access Control and Security Analytics
  • Capstone Project

Schedule

DatesTraining TypeKey Topic
9 Jan 2026Lesson Week 1Intro & Architecture
16 Jan 2026Lesson Week 2Data Modelling
23 Jan 2026Lesson Week 3Programming & Databricks
30 Jan 2026Lesson Week 4AWS Cloud Foundations
6 Feb 2026Lesson Week 5AWS Data Engineering
13 Feb 2026Lesson Week 6Data Engineering using Generative AI
20 Feb 2026Lesson Week 7Data Engineering with SnowFlake
27 Feb 2026Lesson Week 8Data Engineering with SnowFlake
6 Mar 2026Capstone Week 9Capstone Development/Consultation
13 Mar 2026Capstone Week 10
Capstone Development/Consultation
20 Mar 2026Capstone Week 11
Capstone Development/Consultation
27 Mar 2026Capstone Week 12
Final Capstone Presentation

 

Fees


Full Fee

Full programme fee

S$2750.00

9% GST on nett programme fee

S$247.50

Total nett programme fee payable, including GSTS$2997.50

Upcoming Classes

Class 1
09 Jan 2026 to 27 Mar 2026 (Full Time)
Duration: 8 days
When: Jan - 09
Time : 9am - 5pm

Agency-sponsored
Step 1 Apply through your organisation's training request system.
Step 2 Your organisation's training request system (or relevant HR staff) confirms your organisation's approval for you to take the programme.

 

Your organisation will send registration information to the academy.

Organisation HR L&D or equivalent staff can click here for details of the registration submission process.

Step 3 GovTech Digital Academy will inform you whether you have been successful in enrolment.