Writing Advanced SQL Queries on Microsoft SQL Server

Microsoft SQL Server is a powerful and widely adopted relational database management system, trusted by organizations of all sizes, including many Fortune 100 companies. This course provides a comprehensive introduction to SQL (Structured Query Language), the standard language for interacting with and managing Microsoft SQL Server databases.

Whether you're a beginner or have some existing SQL knowledge, this course will guide you through the process of developing and executing queries on SQL Server. You'll learn to efficiently extract data from multiple tables using essential join techniques:

• Inner Joins: Combine rows from two or more tables based on a related column.
• Left Outer Joins: Retrieve all rows from the left table and matching rows from the right table.
• Right Outer Joins: Retrieve all rows from the right table and matching rows from the left table.

Master data summarization with aggregate functions, enabling you to gain valuable insights from your data:

• COUNT: Determine the number of rows.
• SUM: Calculate the total value of a column.
• AVG: Find the average value of a column.
• MIN: Identify the smallest value in a column.
• MAX: Identify the largest value in a column.
• VAR: Calculate variance.
• VARP: Calculate pooled variance.

Expand your SQL capabilities with powerful analytic functions:

• LEAD: Access data from a subsequent row in a result set.
• LAG: Access data from a preceding row in a result set.
• LAST_VALUE: Retrieve the last value in a partition.
• FIRST_VALUE: Retrieve the first value in a partition.
• PERCENT_RANK: Calculate the relative rank of a value within a dataset.
• CUME_DIST: Calculate the cumulative distribution of a value within a dataset.

SQL is fundamental to relational database operations. This course empowers you to unlock the full potential of SQL for Microsoft SQL Server. You'll develop practical skills to select the most appropriate query methods, ensuring accuracy and avoiding common pitfalls. Gain confidence in writing effective SQL queries for SQL Server databases and become proficient in data retrieval and manipulation.