Data Analytics I.

Catalog description

This course is a foundational course designed to provide students with a comprehensive introduction to the fundamental principles and techniques of data analytics. This course aims to develop essential skills for navigating the data landscape, including data collection, cleaning, and exploration. Students will be introduced to popular data analytics tools (e.g., Tableau and Power BI) and programming languages (e.g., Python and R), gaining hands-on experience in manipulating and analyzing real-world datasets. Through a combination of theoretical concepts and practical applications, participants will learn to derive meaningful insights from data, communicate findings effectively, and make data-driven decisions. The course sets the stage for a deeper understanding of data analytics, laying the groundwork for more advanced studies in this rapidly evolving field.