The Data Management & Storytelling microredential enhances skills and competencies in data-driven storytelling through the use of interactive visual delivery models. Many professionals understand the importance of data in decision making, but few are equipped to detect stories within the data and how to present data effectively. This microcredential will equip professionals in multiple industries with foundational knowledge and technical skills to manage and analyze data, identify patterns within datasets, and how to effectively communicate those stories through more interactive visual models. The program is fully online and courses are asynchronous.
Curricular Requirements (6 credits)
HEA 725 - Fundamentals of Data Management and Decision Support in Higher Education
Prerequisites: Graduate Student Status, HEA650, HEA689. The course provides an overview of institutional research practices and processes, as well as approaches to data management and decision support. It focuses on the relationships of institutional researchers and assessment professionals to various internal and external organizational functions and to the emerging field of knowledge management. Offered each semester
HEA 730 - Data Visualization & Storytelling
This course will cover the fundamentals of effective data-driven storytelling. Students will learn how to analyze data, detect stories within datasets and communicate findings in oral, written, and interactive visual delivery modes for various audiences.
DSA 610 - Databases and the Data Science Information Life Cycle
Prerequisites: Graduate standing. Introduction to an understanding of data flow for strategic, data-driven decision making, including data storage, data organization, data gathering and preparation, exploratory data analysis, and meaningful visualizations and communication. Emphasis on hands-on practice. Offered occasionally
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