- LIS 705: Introductory Analytics for Decision Making (3 credits): The entry course in the certificate, 705 introduces students to the learning objectives of the certificate and the year-long capstone project. Students increase their capacities to frame questions that can be informed by data, identify and assess the quality of existing data sources and plan a structured inquiry. Students learn about and apply major data collection methodologies and are introduced to the basics of quantitative and qualitative analysis approaches.
- LIS 706: Data Mining Planning and Management (3 credits): Prepares students to plan, manage and assess a data mining project in light of organizational strategic goals. Introduces stages of a data mining project, organizational data audits, metadata and data management concepts, data preparation techniques, data project evaluation and principles of data ethics. Students learn and apply introductory data mining tools and techniques for data clustering, dividing data into classes, making predictions, and identifying networks.
- LIS 707: Data Visualization and Communications for Decision Making (3 credits): Students will gain competency with data visualization and communication to support decision making in organizational environments. They will master contemporary visualization tools to summarize, analyze and communicate about data. They will analyze stakeholders information and communications needs and preferences in order to develop effective data products. Students will be able to explain the limitations and challenges of using visualization techniques, understand and apply basic principles of design to create effective visualizations, and choose appropriate types of visualization(s) based on source data, audience, and goal. Students will evaluate visualizations created by others for effectiveness and bias. To complete the certificate capstone project, as part of this class students will apply data analysis, data visualization and data communications techniques learned in the certificate in order to plan and create a portfolio in which they employ data, texts, infographics and visualizations to help analyze and understand data in order to solve an organizational problem.