Data Wrangling
About This Course
By the end of the module, students will be able to:
• Collect data from various sources using software tools
• Explain key data issues that can be addressed through an automated data wrangling pipeline.
• Build an automated data wrangling pipeline to explore, cleanse, enrich and optimize data to prepare data for analysis
What You'll Learn
This module introduces the concepts, tools and techniques of data wrangling. Through building an automated data wrangling pipeline, data from diverse sources are collected, explored, cleansed, integrated, enriched and optimized and ready for the downstream visualisation and analytics process.
Entry Requirements
Applicants should possess at least a local diploma qualification or equivalent in business, engineering, technology, or any other disciplines from recognised institution.
Applicants who do not meet the entry requirements may be considered for admission to the course based on evidence of at least 5 years of relevant working experience or supporting evidence of competency readiness. Suitable applicants who are shortlisted will have to go through an interview and/or entrance test. The Polytechnic reserves the right to shortlist and admit applicants.