Data Transformation

3.00 credits · Undergraduate

This course introduces students to programming and data manipulation techniques from and to various formats using Python, designed to solve real-world business analytics problems. It focuses on automating data processing tasks, creating dynamic analytical dashboards, and handling data from diverse formats, including Excel, CSV, JSON, and web-based sources. Through structured mini-projects, students build competencies in Python programming, web scraping, API integration, text manipulation, and communication automation. The curriculum encourages practical application and critical thinking, enabling students to effectively transform raw data into actionable business insights. Students conclude the course with a robust skill set applicable to complex data analytics environments.