Data Analytics for Presentation
About This Course
At the end of the programme, learners will be able to:
• Appraise Data Analysis Techniques and Tools
• Develop Pattern Recognition and Logical Thinking Abilities
• Evaluate Validity and Reliability of Information and Data Sources for Insight Generation
• Appraise data to identify and address data gaps
• Identify Data Patterns and Trends
• Evaluate Analysis Outcomes for potential impact and opportunities, potential limitations, and improvements on data analysis techniques
What You'll Learn
and data to recognise patterns, spot opportunities, infer insights and inform decisions; and to analyse information and data and uncover patterns, opportunities, and impacts.
Entry Requirements
It is assumed that the participants should minimally possess the following profile:
• Possess a minimum of O-Levels or equivalent level of education; or
• Be able to speak, listen and read English at a proficiency level not lower than the Employability Skills Workforce Skills Qualification (ES WSQ) Workplace Literacy (WPL) Level 5; and
• Have more than 1 year of work experience; and
• Have at least 1 year of experience in a supervisory or managerial role.