Data Handling and Information Visualization - Part of Modular Certificate in Machine Learning and Data Visualization (Elective)(DEEC2)
About This Course
This module covers data importing, cleaning, interpreting and visualizing. Learners will learn advanced methods with Tableau software. This module deals with methods used to manage and analyse real world large datasets and present the results in visually understandable way. It helps to solve the complex engineering challenges present in the data. In this module, learners will be learning new techniques and tools in Tableau to become more resourceful for the engineering industry.
What You'll Learn
Entry Requirements
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)
• Science (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)