DP-080T00: Querying Data with Microsoft Transact-SQL

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About Course

The DP-080T00: Querying Data with Microsoft Transact-SQL course is an essential training program for professionals who aim to master MS Transact-SQL for querying, modifying, and managing data within Microsoft SQL Server databases. It covers foundational skills in using T-SQL, starting with basic SELECT statements and advancing through complex operations like joins and subqueries.Module 1 introduces T-SQL and the tools for writing queries, while Module 2 delves into sorting and filtering data. Module 3 teaches learners how to craft sophisticated queries using joins and subqueries. Module 4 focuses on leveraging built-in functions to perform calculations and data transformations. Finally, Module 5 covers data modification techniques.By completing this course, participants will gain a solid understanding of querying data with Microsoft Transact-SQL, which is pivotal for database management and analytics roles. The course equips learners with practical skills to efficiently query and manipulate data, thereby supporting business intelligence and data-driven decisions.

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What Will You Learn?

  • Understand the foundational concepts of Transact-SQL and the structure of SQL Server data.
  • Utilize the SELECT statement to query and retrieve data from SQL Server databases.
  • Develop proficiency with SQL Server query tools for writing and executing T-SQL queries.
  • Apply sorting techniques to organize query results into a meaningful order.
  • Implement filtering to extract specific data based on given criteria within SELECT queries.
  • Master the use of JOIN operations to retrieve and combine data from multiple tables.
  • Write complex SELECT statements using subqueries to perform advanced data retrieval.
  • Discover and use scalar and aggregate functions to perform calculations on data and summarize results.
  • Learn to insert new data into tables and update or delete existing records effectively.
  • Gain the ability to group data and understand the implications of grouped data on aggregated results.