(SCTP Module) Data Analytics with AI
Training Provider: Ngee Ann Polytechnic
Course Reference: TGS-2026065650
S$1,134
Original: S$3,780
Save S$2,646
About This Course
This module equips learners with the data literacy and analytical skills required to interpret, visualise, and communicate data insights in a business context. Learners develop confidence in working with structured datasets, understanding data quality, preparing data for analysis, and building meaningful visualisations using industry-standard business intelligence tools.
What You'll Learn
Learning Outcomes:
• Apply data literacy principles to assess, clean, and prepare datasets for analysis
• Build visualisations and dashboards using business intelligence tools to communicate data findings
• Interpret key business metrics and KPIs to identify trends, anomalies, and opportunities
• Use AI-assisted features within analytics platforms to accelerate data exploration and insight generation
• Translate data insights into structured business recommendations suitable for stakeholder review
• Select appropriate visualisation types to support data-driven storytelling
Instead of building dashboards as an end in themselves, the emphasis is on translating data findings into clear, well-reasoned business recommendations. Understanding what the data means, why it matters, and what action it should prompt is the primary outcome of this module. This approach directly prepares learners for the evidence-based recommendation work they will undertake in the capstone module.
• Apply data literacy principles to assess, clean, and prepare datasets for analysis
• Build visualisations and dashboards using business intelligence tools to communicate data findings
• Interpret key business metrics and KPIs to identify trends, anomalies, and opportunities
• Use AI-assisted features within analytics platforms to accelerate data exploration and insight generation
• Translate data insights into structured business recommendations suitable for stakeholder review
• Select appropriate visualisation types to support data-driven storytelling
Instead of building dashboards as an end in themselves, the emphasis is on translating data findings into clear, well-reasoned business recommendations. Understanding what the data means, why it matters, and what action it should prompt is the primary outcome of this module. This approach directly prepares learners for the evidence-based recommendation work they will undertake in the capstone module.
Entry Requirements
Basic IT literacy: ability to use a computer, navigate web-based applications, use email and productivity tools. These are essential for participation in the programme.
Course Details
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