Sense Making in a Data-Driven Era – Part of Modular Certificate in Human-Centred Collaboration and Problem-Solving (dmfw1)

Data sensing is an emerging area that drives Industry 4.0. People trained to understand data and manage huge data collection can provide powerful insights and spot opportunities that impact and profit business and organizations they work for. This module aims to provide basic knowledge and practical skills that allows learners to handle data through simple analysis. It will involve processing and modelling data using visualization tools like bar graphs, charts and histograms. Learners will also acquire fundamental statistical concepts and build on this through working out real life data, turning it into meaningful and useful information. At the end of this module, learners should be able to understand simple statistics and apply basic statistical tools for analyzing data in businesses and industries. Key topics covered in the module include statistics, data organization, numerical descriptive measures and data visualization

What You'll Learn

Sense Making in a Data-driven Era- Part of Modular Certificate in Human-Centred Collaboration and Problem-Solving (DMFW1) is a 60 hrs module.

Minimum Entry Requirement

Min. 3 relevant GCE 'O' levels and with at least 1 year of relevant working experience:

• English Language (Grade 1-7)
• Mathematics (Grade 1-6)
• One other subject (Grade 1-6)

OR NITEC with GPA >= 3.5

OR NITEC with GPA >= 3.0 and with at least 1 year of relevant work experience

OR Higher NITEC with GPA >= 2.0

OR Higher NITEC with GPA >= 1.5 and with at least 1 year of relevant work experience

OR NITEC in Technology or Services with GPA >= 3.5 and with at least 1 year of relevant working experience

OR Higher NITEC in Technology or Services with GPA >=2.0 and with at least 1 year of relevant working experience

OR relevant Advanced WSQ Certificate (or higher) and Level 6 WSQ Workplace Literacy SOA and Workplace Numeracy SOA and with at least 1 year of relevant working experience

OR applicants with at least 2 years of relevant working experience may apply for the course

Recognition of Prior Learning (RPL)