Looking to elevate your organization, and bring it to the next level? Offer learners from  Georgetown University  the opportunity to be your virtual interns, in a project-based experience. Learners will work on one or more projects of your choosing over the internship period, connecting with you as needed with virtual communication tools. Georgetown University is an approved provider of project management training by the Project Management Institute (PMI)(r). Learners in this program study both predictive and agile project management methodology. They learn how to execute projects to deliver business value as well as plan and manage schedules, budgets, risks and scope. Beyond project management fundamentals, they learn how to lead teams successfully, empower their team members and influence stakeholders. At the end of the program, learners use action-based exercises and the in-depth examination of case studies to apply their learning. Elevate our students' understanding and mastery of project management while providing support for your key projects with a project-based virtual intern.

Georgetown University student consultants, proficient in Python, provide comprehensive support to both data science and data engineering teams through a hands-on applied machine learning program. The program consists of two main phases: Software Engineering for Data Science: Skills development covering databases, data ingestion, and wrangling. Exploration of various software engineering topics. Distributional Statistical Analysis and Modeling: Utilization of scikit-learn for modeling and statistical analysis. Exploration of various models and selection techniques. Throughout the semester, learners engage in a challenging main project, maintaining virtual communication as needed. Additionally, Python-savvy student consultants actively contribute to data analytics teams, receiving training in Python, SQL, statistics, data visualization, and culminating their learning in a capstone project. The capstone project modules include: Foundations of data analytics and Python basics. Advanced data analytics in Python and SQL. Statistics for pattern uncovering and analysis. Data visualization for creating compelling visualizations. Application of knowledge in a capstone project. Throughout the semester, learners undertake a main project, maintaining virtual communication as required.

Located at the intersection of business, government, and international relations , Georgetown University’s highly-ranked McDonough School of Business develops principled leaders committed to serving both business and society . Through our global perspective, we prepare students to compete in today’s international business environment. In this course, student consultants apply contemporary theory and research on consumer behavior to real world business issues to produce actionable marketing solutions and insights . Consumer behavior is an interdisciplinary area where the marketing perspective remains dominants, but student research draws from psychology, economics, sociology, and other areas. Guided by your organizational objectives, a group of student-researchers will profile your target consumers to provide you with key insights and strategic recommendations.

Student consultants are ready to use their technical and analytical skills to support data-driven decision-making. Beginning with the study of SQL and Python, students will learn how to store, access, and manipulate data in relational databases. Students will use statistical tools to understand uncertainties and the predictive capabilities of data models in supporting decisions. Students will develop visualization techniques to understand how the presentation and communication of data provide insight into the analysis and decision-making.