Mercy University’s Global Health course introduces students to essential health concepts and ethical frameworks that shape healthcare delivery worldwide. These advanced learners will apply their knowledge in data analysis, cultural competency, and ethical healthcare practices to tackle global health issues. Through this experience, students seek to build skills in global health data interpretation, social determinants of health, and comparative healthcare analysis. Employers are asked to participate in regular communications, provide necessary project information, attend a final virtual presentation, and give constructive feedback to student groups. Engagement in these areas helps ensure students gain practical insights while delivering valuable analyses and recommendations.

Elevate your organization by partnering with dedicated learners from Mercy University as your data-focused consultants in a project-based experience. Over the semester, our students will engage with your team to complete a targeted project, using virtual communication tools to collaborate effectively and ensure alignment with your goals. Through this experience, our learners apply their skills with Python libraries, including IPython, NumPy, Pandas, and Matplotlib , for data storage, manipulation, and analysis. They gain hands-on practice with real-world datasets, learning to clean, transform, and visualize data; conduct thorough exploratory data analysis; Partnering with our students provides your organization with fresh insights and actionable data solutions while empowering students to build professional-level experience with valuable analytical tools and techniques.

Our learners are capable of organizing, cleaning, and summarizing/visualizing data in a variety of different formats (see below), as well as offering advice on data collection and storage. Companies can benefit if they have data they wish to analyze but may not have resources to do so; or if companies wish to start up a data unit and need advice about which data to collect and how to store, organize, and retrieve it.

Our learners are capable of organizing, cleaning, and summarizing/visualizing data in a variety of different formats (see below), as well as offering advice on data collection and storage. Companies can benefit if they have data they wish to analyze but may not have resources to do so; or if companies wish to start up a data unit and need advice about which data to collect and how to store, organize, and retrieve it.