STAT 1170

This course provides students with their initial exposure to the fundamental tools of data science, emphasizing the role of artificial intelligence in enhancing analytical capabilities. Applications span various disciplines—including social sciences, life sciences, physical sciences, business, and engineering. Participants will explore data manipulation, visualization, analysis, and interpretation using the Python programming language. The course integrates AI-driven methods into traditional data science workflows, covering foundational classification and regression models alongside advanced machine learning and deep learning techniques. Students will learn to forecast trends, recognize patterns, and leverage AI to automate complex analyses, all while engaging with real-world case studies that demonstrate the unified merging of AI and data science. Throughout the course, emphasis is placed on crafting compelling narratives that effectively translate AI-enhanced analytical results to non-technical audiences, ensuring practical understanding and real-world applicability. This course is equivalent with MATH 1170. Students may earn credit for only one of these courses.