IS 384

This course explores the foundational principles of data science, centering on the versatility of Python as a programming language. Delving into essential elements such as data structures, functions, objects, and classes, participants will develop a comprehensive understanding of Python's applicability in the context of data science. Emphasis is placed on key libraries like NumPy and Pandas, integral for proficient data manipulation and analysis. The curriculum extends to practical applications, integrating Python for data visualization, statistical analysis, and machine learning. By the course's conclusion, participants will possess a skill set enabling them to derive meaningful insights from data, facilitating informed decision-making in the dynamic landscape of data science.