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TP-AI-Data-Analytics Exam Format | Course Contents | Outline | Syllabus | Objectives

TP-AI-Data-Analytics Exam Information and Outline

Specialist Diploma in AI-driven Data Analytics

Syllabus Update Checked on: November 6, 2026

TP-AI-Data-Analytics Exam Syllabus & Study Guide

Before you start practicing with our exam simulator, it is essential to understand the official TP-AI-Data-Analytics exam objectives. This course outline serves as your roadmap.

The information below reflects the 2026 syllabus defined by Temasek-Polytechnic.

Below are complete topics detail with latest syllabus and course outline, that will help you good knowledge about exam objectives and topics that you have to prepare. These contents are covered in questions and answers pool of exam.

  • Exam Format
    • Module-based continuing education assessment
  • Data Analytics Fundamentals and Python
    • Data wrangling
  • Data Visualization and Dashboarding
    • Power BI/Tableau
  • Machine Learning for Analytics
    • Predictive models
  • AI-Driven Insights and Generative AI Tools
    • AI-assisted analytics
  • Big Data Processing
    • Spark and cloud data platforms
  • Applied Analytics Project
    • End-to-end project

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