Specialist Diploma in AI-driven Data Analytics

Duration 1 year (Part-time)

Frequency 7pm to 10pm, 3 hours (2 days/week)

Certificate Part-time Diploma & Post-Diploma

	Subject Code	Subject
	CADA1C01	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.
	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

CADA1C01

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.

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
	CADA1C02	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.
	CADA1C03	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.

Subject Code

Subject

CADA1C02

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.

CADA1C03

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.

What is the difference between the Specialist Diploma in Business Analytics (SDBA) and Specialist Diploma in AI-driven Data Analytics (SDADDA)? How will I benefit from the programmes?

The Specialist Diploma in Business Analytics (SDBA) provides training in essential business analytics skills, focusing on creating data visualisations, crafting data-driven narratives, and applying data mining methods to uncover insights from structured and unstructured data. The course emphasises developing skills to analyse data effectively, communicate findings clearly, and implement analytics solutions to solve business challenges. It is designed for professionals seeking foundational expertise in data analysis and visualisation to enhance decision-making in various industries.

The Specialist Diploma in AI-Driven Data Analytics (SDADDA) enhances the skills and knowledge of professionals by integrating artificial intelligence into data analytics processes. It focuses on automating data preparation, leveraging advanced AI tools such as large language models, and enhancing analytics workflows to generate actionable insights. This program equips participants with the ability to adopt AI-driven methodologies for more efficient and innovative data analysis.

Are the admission requirements the same for the Specialist Diploma in Business Analytics (SDBA) and Specialist Diploma in AI-driven Data Analytics (SDADDA)?

The minimum entry requirement for both courses is similar. Prior knowledge of programming is not a requirement in both courses.

What is the programming language used in SDADDA?

The Specialist Diploma in AI-Driven Data Analytics (SDADDA) emphasises the use of advanced tools and methodologies for AI-driven analytics. The Post-Diploma Certificate in AI-Driven Data Insights incorporates Python as a key programming language for automating data preparation and implementing AI-based analytics solutions.

REGISTRATION PERIOD COURSE NOT OPEN FOR APPLICATIONS
COURSE DATE	To be announced	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