BAN 3120 Business Data Management

This course provides a practical introduction to data wrangling which is the method of restructuring, cleaning, and enriching the raw data available into a more processed format. It is also known as data munging. This helps the business decision makers to fasten the decision-making process, and thus benefit the company. This method is adopted by a huge number of high-end firms, partly owing to the perks it has and partly because of the huge amounts of data which the firm analyzes and processes. Feature engineering the data before analysis has proven to be extremely useful and helps the firms quickly analyze huge amounts of data. Python will be used to apply data wrangling concepts.

Prerequisite(s): BAN 3110 ,BAN 3100 ,MATH 1170 ,MGT 2000 ,MGT 3050 ,ECON 2100
Credits: 3.0