Effective Engagement with Stakeholders: Generate Insights to Propose Solutions
About This Course
Course Objectives
At the end of the programme, learners will be able to:
- Adopt Computational thinking to analyse and make sense of data
- Ensure validity and reliability of data sources
- Detect and close data gaps
- Adopt logical thinking to decompose complex problems
- Apply pattern recognition to analyse data
- Apply abstraction to generate insights from data analysis
- Apply algorithms to design solutions for impact and opportunities of generated insights
- Review generated insights to propose solutions for improvements
What You'll Learn
Conversations driven by data are fact based and allows the learner to support his brand presence with insights from data obtained from various sources.
Knowledge of various data analytical techniques is important to derive the outcomes which will allow sense making in the conversation. Recognising that in negotiations, having data will allow identification of gaps.
This programme has been designed to help professionals apply concepts of computational thinking to decompose data, identify patterns, derive abstraction and design algorithm to generate insights and propose solutions
Entry Requirements
It is assumed that the participant’s should minimally possessed the following profile:
- Possess minimum of Diploma 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 7; and
- Have more than 1 years or more of work experience; and
- Have at least 1 years’ experience in a supervisory or managerial role