The aim of the Big Data Literacy course is to teach students the basic concepts, methods and techniques in the field of big data. Using them, students will learn to draw conclusions by analyzing big data sources and use this knowledge in decision making and strategy formulation. The course content includes the use of big data sources, data collection, summarization and analysis techniques, data security and privacy, data ethics and data science applications.

The Big Data Literacy course aims to provide students who have a large number of big data sources today, to have knowledge in understanding and utilizing them. Course, students; It raises awareness on issues such as understanding various data collection and storage methods, understanding and organizing data, interpreting and visualizing data, data analysis, artificial intelligence and how machine learning algorithms can be used. While the course teaches students the fundamental principles for analyzing and understanding data, it also emphasizes the importance of ethical principles and appropriate use of data in big data management.