The core theoretical framework posits that competency in data analytics is defined by a sequential processing pipeline involving data collection, cleaning, exploratory analysis, visualization, and communication to drive decision-making. This domain relies on the formal integration of two distinct technical modalities: database query languages (SQL) for structural manipulation and Business Intelligence tools (Tableau/Power BI) for semantic representation. The theory establishes that professional proficiency is achieved either through structured certification mechanisms yielding industry-recognized validation or autonomous construction of competency portfolios, acknowledging a dichotomy between guided pedagogical paths and self-directed learning trajectories within the broader discipline of information science.
The core theoretical framework posits that competency in data analytics is defined by a sequential processing pipeline involving data collection, cleaning, exploratory analysis, visualization, and co…