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The business analytics specialization equips students to create and combine cross-disciplinary data with business insights for practical strategy implementation. Studies examine past marketing, financial, operational, and managerial choices to demonstrate how data-driven results are utilized across various organizational contexts. Learners will formulate business intelligence queries using data synthesis methods.
A crucial aspect of business analytics involves presenting analytical findings visually. Students learn methods for crafting impactful data representations that guide marketing, operations, financial, and leadership choices. The curriculum emphasizes transforming raw data into meaningful charts, graphs, and other visual formats to influence business strategies. Additionally, participants will create multiple visualization prototypes using SAS analytics tools.
Predictive analytics enables resilient decision-making amid uncertainty. The program explores predictive modeling techniques, teaching students to apply exploratory, forecasting, and predictive approaches for specific business scenarios. This combines strategic thinking, technological applications, and modeling methodologies. Participants will develop and test predictive models for both continuous and categorical business situations across various functional areas.