Data Collection and Analysis
About This Course
Data is meaningless unless insights and analysis can be drawn to provide useful information for business decision-making. It is imperative that data quality, integrity and security are kept in check throughout the data collection and analysis phases of data lifecycle management, with appropriate tools and techniques to fulfil wide-ranging business requirements. Data-driven analytics are commonly used to predict and forecast revenue growth opportunities and highlight potential threat trends, operational deficiency and anomaly activities that matter to organisations. Due diligence is required to ensure the data used is accurate, timely, reliable and free from tampering, and that it complies with data security and privacy laws
What You'll Learn
• Consolidate data based on defined data requirements in accordance to data collection processes and tools
• Evaluate integrity of data to ensure appropriateness of data quality
• Select appropriate techniques and tools to extract data based on requirements
• Ensure sufficiency and adequacy of data required for data analysis needs
• Organise collected data for analysis
• Conduct preliminary analysis of data for review and verification
Entry Requirements
Participants should have relevant qualification or experience in Science, Technology, Engineering or Math (STEM).