This course teaches students how to perform data analysis using spreadsheet-based models and interactive data dashboarding tools, including PowerBI, to effectively and efficiently solve business problems. Students will learn how to both build and communicate about these models to drive managerial decision making. As part of this process, students will apply basic data cleansing and modeling, emerging technologies such as AI, and ethical concerns of working with data.
[This course will be delivered in a Prof + Prof model. For more information on the professional co-teaching the course, click here.] This course will focus on developing the ability to understand the business needs for data insights, crafting those into an analytics problem statement, and developing a coherent and persuasive narrative of any data findings. Students will learn to create well-crafted data narratives and dashboards for business leaders while being able to translate insights into managerial decisions. Students will also be able to prepare raw data sets for their data narratives, executive summaries and technical memos. The course focuses on mastering these fundamental data narrative and storytelling abilities while leveraging AI, Tableau, and other data visualization tools to assist in the process.
This course provides students with a basic understanding of the role of statistics in the gathering of data, the creation of information and its use in decision-making. Students will learn methods for summarizing data, both numerically and graphically, and for drawing conclusions from sample data. Statistical analyses will be carried out using the computer and statistical software. The focus of the course is on how statistical methods can be placed on the design of statistical studies, collection of data, and the interpretation of results (rather than the details of computation). Prerequisites: NONE.