DA 320 - Data Acquisition and Management

5 CR

Learn concepts of data collection and management. Topics include collecting data ethically from different sources, assessing data quality, learning techniques to clean, process, and store the big data while maintaining privacy and security. Students research real world examples, using cloud techniques and common statistical software to produce reports and presentations.

Prerequisite(s): BUSIT 103 with a C or better and admission to the BAS Data Analysis and Management program or admission in the BAS Software Development Artificial Intelligence concentration or permission of the instructor.

Course Outcomes

Utilize data management to enable analysis and insights

Evaluate the merits of cloud computing and big data storage to select an appropriate data handling method
Establish data pipelines and recommend approaches for connecting external data sets to an internal data solution
Apply an array of data tools to process and store high-velocity data
Employ new data skills to craft a full end-to-end process of data capture, analysis and recommended next steps

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