MIS 480D - Practical Data Wrangling

Particular topics within broad area of MIS. Topics determined in advance. May be repeated for credit. Prerequisites: MIS 311, junior standing. This course equips business students with the skills to clean, organize, and transform raw data for analysis. It covers both theoretical and practical aspects of data wrangling, using tools like Excel and Python to handle various data types including numerical, textual, and unstructured data. Students will learn through hands-on experience, preparing them for data analysis roles in the industry. Topics include challenges of data wrangling, advanced operations in Excel, Python programming, and exploratory data analysis. Prerequisites include basic knowledge of Python and MIS 311. 4 credits.