SQL: Advanced Querying (SQL-QueryAdv)

Training overview
2 hours
Professional Course

Course description

SQL: Advanced Querying (SQL-QueryAdv)

About this course:

Let’s have a quick look at SQL. SQL (Structured Query Language) is a standardized programming language used for managing relational databases and performing various operations on the data in them. Initially created in the 1970s, SQL is regularly used by database administrators, as well as by developers writing data integration scripts and data analysts looking to set up and run analytical queries. In this course, students will work with advanced queries to manipulate and index tables. Students will also create transactions so that you can choose to save or cancel data entry process. Students should have basic computer skills, SQL skills, and be familiar with concepts related to database structure and terminology.

The average salary for SQL Database Administrator is $77,428 per year.

Who should attend?


This course is intended for:

  • Students with basic computer skills, SQL skills, and be familiar with concepts related to database structure and terminology.


  • Students should be pro-efficient with the basics of SQL.

Training content

Course Objective: 

After completing this course, students will be able to: 

  • use subqueries to generate query output.
  • manipulate table data by inserting and updating records in a table and deleting records from a table.
  • manipulate the table structure.
  • create views, manipulate data through views, modify the view structure, and drop views.
  • create indices on table columns and drop inefficient indices.
  • mark the beginning of a transaction, create a savepoint within a transaction, rollback a transaction, and commit a transaction.

Why choose QuickStart?

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About QuickStart

Meet your career goals with QuickStart!

QuickStart exists to create world-class technologists by personalizing and individualizing training to address the massive skills gap in the IT industry. Through 20 years of research and data analysis, we’ve learned that a modern learner prefers to learn through multiple...

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Contact info


1101 S Capital of Texas Hwy - Building J, Suite 202
78746 Austin Texas

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