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This project utilizes a range of SQL queries to manage and manipulate data effectively within the University Management System. Key query types include:

  • Data Retrieval: Employing SELECT statements to extract specific information from tables based on conditions using WHERE, LIKE, and BETWEEN.
  • Aggregations: Utilizing functions such as AVG, SUM, MAX, MIN, and COUNT to summarize and analyze data.
  • Data Modification: Implementing INSERT, UPDATE, and DELETE statements to maintain and adjust the dataset as needed.
  • Joining Tables: Combining data from multiple tables using JOIN operations to generate comprehensive views and reports.

These queries ensure efficient data handling and support the functionality of managing students, courses, instructors, and other critical components of the system.

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