To run this project, you'll need to have Python installed on your machine. Additionally, you need to install the required libraries. To use this project, simply open the Python_Data_Analysis_Project.ipynb notebook and run the cells in order. The notebook will guide you through the data analysis process. The analysis is divided into several steps: Data Cleaning: Cleaning the raw data to handle missing values, incorrect formats, and other issues. Data Visualization: Creating visualizations to understand the data and identify patterns. Publication Verification: Using Python scripts to verify which PhD students published which research papers. The results of the analysis are documented in the Python_Data_Analysis_Project.ipynb notebook.