Managing Analytics Projects
Description: With the growing demand for analytics skills in business and government, there are many options for students to learn fundamentals of data and analytics modeling. There are fewer opportunities to learn about managing analytics projects, which often involve leading teams with diverse skills and interacting with stakeholders in a variety of roles. This course is designed to offer students practical guidance and experience around the process of initiating, delivering, and evaluating analytics projects. It will draw on experience from a consulting perspective, talking about analytics with clients and delivering analytics-related engagements. The course will cover the following topics: Starting the analytics conversation: Identifying needs, understanding constraints. Choices around data: sourcing, standards, licensing and privacy. Choices around analytic techniques and technologies, integration, and visualization. Planning and executing analytics projects: Sizing, staffing, communication. Managing analytics in the enterprise: Organizing for analytics and change.
Prerequisites: Statistics for IT Managers (95-796) or Statistical Reasoning with R (90-711)