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Certificate in Data Analytics & Stakeholder Relations

Name: Certificate in Data Analytics & Stakeholder Relations
Price: 5518.5 SGD

Training Provider: SINGAPORE POLYTECHNIC

Course Reference: TGS-2025053194

S$5,519

About This Course

There are 4 modules covered under this Certificate:
1. Essential Statistics
2. Practical Data Mining with KNIME
3. Stakeholder Management
4. Empathetic Communication & Effective Reporting for Team Synergy

What You'll Learn

The Certificate in Data Analytics & Stakeholder Relations provides participants with essential skills in statistics, data mining, stakeholder management, and effective communication. It covers fundamental probability and statistical principles, practical data mining techniques using KNIME, and methods for building trust and engagement with stakeholders. Participants also develop interpersonal and reporting skills to enhance workplace communication, including active listening and empathetic speaking. Through these modules, participants gain the ability to analyze data effectively and foster strong stakeholder relationships.

Entry Requirements

GCE ‘O’ Levels:
3 relevant passes and 1-year relevant working experience:
Subjects/Min. Grade:
1. English Language: Grade 6
2. Mathematics (Elementary or Additional): Grade 6
3. Physics: Grade 6

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

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

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

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

WSQ Diploma: Relevant WSQ Advanced Certificate (or higher) with 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 (RPL): Applicants who do not meet the entry requirements may be considered for admission to the course based on supporting evidence