Course Overview
A key goal of GBA471 is to generate insights from data to support business decision making. This course introduces basic techniques for data exploration and visualization, with an emphasis on understanding and reasoning with data and communicating data-driven results to a managerial audience. The course further covers the fundamental concepts in probability and inferential statistics necessary for understanding model building, and the use of data in decision making. Generative AI will be used to uncover conjectures for further exploration of data sets and augment attainable insights from data. Students will use Microsoft Excel and be introduced to Python for data analysis and graphing.
Key Takeaways
Learn to perform and interpret exploratory data analysis, both numerical and graphical
- Understand the use of probability to represent uncertainty, and its application in a decision context
- Grasp fundamental concepts related to sampling and statistical inference and their applications
- Get comfortable working with Python to perform basic data manipulation and analysis, and for producing data visualizations
Interested in learning more? Reach out for more information on our course offerings.