How much Python do I need to know for the MSBA Capstone Project?

Python is typically a useful tool for developing proof of concepts and analytics solutions, as it provides flexibility for data processing, modeling, and visualization. However, there is no strict requirement to use Python—you are free to choose the tools and technologies that best fit your project and team’s expertise.

The key is to be comfortable working with data-driven problem-solving approaches and collaborating effectively on analytics solutions. If Python is your preferred choice, having a basic to intermediate understanding of data manipulation (e.g., Pandas), visualization (e.g., Matplotlib/Seaborn), and potentially some machine learning (e.g., Scikit-learn) can be helpful. That said, depending on your project, other tools like SQL, R, Tableau, or cloud-based analytics platforms may be just as relevant.

Ultimately, the focus of the Capstone is on applying business analytics concepts to real-world challenges, so your ability to define a problem, select appropriate methodologies, and derive actionable insights is more important than expertise in any one programming language.