Accounting Analytics & Gen AI Applications

Training Provider: SINGAPORE POLYTECHNIC
Course Reference: TGS-2025061015
S$1,866

About This Course

This is a module under the Diploma in Business Practice (Business Management).

What You'll Learn

This module introduces the essential concepts of data visualisation and Generative AI techniques tailored for accounting and business decision-making. Participants will learn foundational principles of data visualisation using Power BI, developing practical skills to interpret and visualise data through charts, graphs, and dashboards. The module emphasises using these visual tools to present data insights effectively. Additionally, participants will explore the fundamental concepts of Generative AI and its applications in accounting. By the end of this module, participants will be equipped to leverage Power BI and Generative AI tools to deliver data-driven insights and innovative solutions in the business and financial contexts.

Entry Requirements

GCE ‘O’ Levels 3 relevant passes and at least 1-year relevant working experience:

Subjects/Min. Grade:
1. English: 6
2. Mathematics (Elementary or Additional): 6
3. Any one mother subject excluding CCA: 6

FT Nitec:
GPA > 3.5 OR GPA > 3.0 and at least 1 year of relevant working experience

PT Nitec in Technology/Services:
GPA > 3.5 and at least 1 year of relevant working experience

FT Higher Nitec:
GPA > 2.0 OR GPA > 1.5 and at least 1 year of relevant working experience

PT Higher Nitec in Technology/Services:
GPA > 2.0 and at least 1 year of relevant working experience

WSQ Diploma:
Relevant WSQ Advanced Certificate (or higher) with at least 1 year of relevant working experience and Level 6 for both WSQ Workplace Literacy SOA & Workplace Numeracy SOA.

Without any of the relevant academic qualifications:
At least 2 years of relevant working experience.

Recognition of Prior Learning:
Applicants who do not meet the entry requirements may be considered

Course Details

Duration 60 hours
Language English
Training Commitment Part Time
Total Enrolled New course
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