Data Analytics & Components

Catalog description

This course introduces the core concepts, tools, and components involved in data analytics, providing a broad understanding of how data is collected, processed, analyzed, and visualized to support informed decision-making in a variety of fields. Students will explore the data analytics lifecycle, including data collection, cleaning, transformation, exploration, analysis, and presentation through hands-on activities with real-world datasets using libraries such as Pandas, Matplotlib, etc.