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Business Insights - Part of Post Diploma Certificate in Visualisation and Analytics (SDBD(A)1)

Name: Business Insights - Part of Post Diploma Certificate in Visualisation and Analytics (SDBD(A)1)
Price: 454.95 SGD

Training Provider: Ngee Ann Polytechnic

Course Reference: TGS-2026063894

S$455

Original: S$1,517

Save S$1,062

About This Course

This course aims to equip learners with an understanding of Machine Learning (ML) and Artificial Intelligence (AI) Solutions which can be used to automate tasks, enhance decision-making processes, and drive innovation across various industries. Learners will be able to recommend and build ML/AI solutions with available No/Low-code tools to learn from data, identify patterns, and make intelligent business decisions. Only working knowledge of Microsoft Excel is needed. No prior programming knowledge is required.

Learners begin by developing practical AI literacy to enhance workplace productivity, while applying human‑centred design methods to strengthen problem framing, solution development, and innovation. Learners also deepen their understanding of human behaviour and decision‑making through behavioural science and workplace nudging. Learners are further equipped with strategies to build emotional resilience across individuals, groups, and organisations.

This course shares the common Post-Diploma Cert (PDC) in Visualisation and Analytics with the Specialist Diploma in Business Digitalisation (Intelligent Automation).

What You'll Learn

This module aims to equip students with fundamental concepts of Data Visualisation for Business to develop interactive management dashboards for decision making. This involves applying best dashboard design principles, data story-telling techniques as well as insight gathering techniques. Students will learn how to organise data, perform data preparation, develop interactive dashboards, design data story-telling reports and automate repetitive tasks.

Entry Requirements

A recognised local Polytechnic Diploma or Degree (with English as the medium of instruction) in the business, engineering, technology or any other disciplines with at least one (1) year of relevant work experience in data analysis.