Data Management in The Digitalised Workplace (OTC193)

Data analytics opens an objective pathway for organizations to achieve quality decision-making for business improvement. This is because data analysis and data mining reveal hidden patterns and relationships among data. Unlike structured data, most data today is unstructured (big data). Organizations today grapple with a variety of big data like video, audio and discussion threads. The challenge is to convert big data into traditional forms so that existing data analytics tools can be used to analyse them. The course will also discuss big data challenges.

• Sources of data
• Fundamentals of Data Mining
• Using excel spreadsheet for data analytics
• Big Data Analytics
• Overview of data governance
• Cybersecurity and Personal data protection act (PDPA)

• Explain the fundamentals of data mining and its applications in analyzing datasets.
• Describe the concepts of big data analytics in contemporary business environments.
• Outline the principles of data governance and their role in ensuring data quality and compliance.
• Use Excel spreadsheets to perform basic data analytics, including data cleaning and visualization.
• Apply cybersecurity best practices and PDPA guidelines to manage and protect personal data responsibly.