| REGISTRATION PERIOD APPLICATIONS CURRENTLY CLOSED |
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| COURSE DATE | 21 Apr 2025 - 19 Apr 2026 | COURSE DURATION / FREQUENCY | 3 hours/session (2 days/week) |
| MODE OF LEARNING | Facilitated Learning (Face-to-Face/ Online Synchronous) and Asynchronous E-Learning | COURSE VENUE | Temasek Polytechnic |
The Specialist Diploma in AI-Driven Data Analytics (SDADDA) will greatly enhance your technical capabilities in harnessing AI for data analytics. This is a versatile skill set that is valued across many industries today.
This course is designed to meet the increasing demand for well-trained data professionals with AI skills. Build expertise to create compelling data visualisations, communicate insights through data-driven narratives, and enhance data preparation with prompt engineering. Learn to develop and refine machine learning models, and enhance decision-making using large language models.
Transform your results into actions with advanced AI techniques. Elevate your analytics expertise with AI-driven methods designed for professionals.
Key Highlights
Data Lifecycle Approach
The curriculum is designed around the data analytics lifecycle, ensuring comprehensive coverage of all critical phases, including:
- Data Preparation
- Analysis
- Visualisation
- Storytelling
Integration of Generative AI in Data Analytics
This course seamlessly blends foundational data analytics skills, such as data visualisation and storytelling, with generative AI techniques, including prompt engineering and large language models (LLMs). This approach empowers professionals to automate tasks, streamline data preparation, and enhance predictive modelling, positioning them for success in an AI-driven industry.
All students are required to bring their own notebooks for lessons. You may refer to the required technical specifications for notebook HERE.
Upon graduating from the course, participants should be able to:
a. create compelling data visualisations;
b. communicate data-driven insights and narratives;
c. enhance data preparation using prompt engineering;
d. develop and refine machine learning models using large language models.
Participants will be awarded the Specialist Diploma in AI-driven Data Analytics upon successful completion of the following:
| Subject Code | Subject | ||
|---|---|---|---|
| CDA1C01 | Data Visualisation
This module focuses on developing skills in creating compelling narratives through data visualisation tools. It also covers various visualisation techniques, transforming data into actionable insights and effectively communicating complex data findings. |
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| CDS1C03 | Data-driven Storytelling
This module introduces techniques for communicating data findings, tailored to a target audience, by connecting the dots using compelling narratives and visuals such as storyboarding. It also covers using Generative AI to craft narratives and optimise the storytelling process. |
| Subject Code | Subject | ||
|---|---|---|---|
| CDA1C02 | Automated Data Prep with Prompt Engineering
This module introduces the foundation of Python programming for data analytics, focusing on the techniques for automated data preparation enhanced by prompt engineering. It includes GenAI-assisted techniques that will streamline data cleaning and transformation. |
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| CDA1C03 | AI-Driven Analytics with Large Language Models
This module focuses on leveraging Large Language Models (LLMs) to enhance AI-driven analytics. It includes techniques for integrating LLM-generated insights, improving model performance, enriching feature extraction, and enhancing the interpretability of predictions. It also covers the use of LLMs for tasks such as contextual understanding of textual data, ultimately applying these skills to support managerial decision-making. |
Modes of Assessment
The assessments would comprise a combination of coursework components such as written and practical tests, case studies, assignments and projects.
This course focuses on equipping learners with skills in data analytics, AI integration, and business intelligence to meet the sector's growing demand. This prepares you well for potential job opportunities and progression pathways, which include:
Data Analyst: Focus on analysing and interpreting complex datasets to inform decision-making processes.
Associate Data Engineer: Involves preparing and managing data pipelines for analytics and AI applications.
Business Intelligence Specialist: Develops insights to drive business strategies and performance using AI-driven tools.
Data Visualisation Specialist: Communicates data-driven insights through compelling visual narratives and storytelling.
Monday - Thursday: 8:30am - 6:00pm
Friday: 8:30am - 5:30pm
Closed during lunchtime, 12:00pm - 1:00pm
and on weekends and public holidays.
Temasek SkillsFuture Academy (TSA)
Temasek Polytechnic
East Wing, Block 1A, Level 3, Unit 109
21 Tampines Ave 1
Singapore 529757
Temasek Polytechnic reserves the right to alter the course, modify the scale of fee, amend any other information or cancel course with low enrolment.
