SQL Querying: Fundamentals Course Overview

Target Audience for SQL Querying: Fundamentals

This course equips participants with foundational SQL querying skills, essential for various IT and data-related roles.

• Data Analysts
• Business Analysts
• Database Administrators
• Software Developers
• IT Professionals looking to enhance their database management skills
• Students pursuing a career in data management or IT
• Report Writers
• Data Scientists at a beginner level
• Business Intelligence Professionals
• Quality Assurance Engineers
• Individuals preparing for Microsoft SQL Server certification

Learning Objectives - What you will Learn in this SQL Querying: Fundamentals?

Introduction to Learning Outcomes and Concepts:

This SQL Querying: Fundamentals course is designed to equip students with the core skills necessary to extract and manipulate data using SQL. Participants will learn to perform basic queries, handle NULL values, utilize functions, and retrieve data from multiple tables.

Learning Objectives and Outcomes:

• Connect to a SQL Database using SQL Server Management Studio, setting a foundational understanding of the database environment.
• Execute basic SELECT statements to query data from a database, enabling students to retrieve specific information.
• Modify and execute pre-written queries, enhancing the ability to iterate on existing SQL scripts for different data retrieval needs.
• Apply the WHERE clause for filtering data, including the use of conditions, to refine search results.
• Utilize the BETWEEN and IN clauses to search for data within a range or within a set of specified values.
• Handle NULL values and employ the LIKE operator to search text data based on patterns, ensuring comprehensive data retrieval capabilities.
• Format and manipulate dates using date functions and summarize data with aggregate functions such as COUNT, SUM, AVG, MIN, MAX for data analysis.
• Manipulate string values with functions, allowing more complex data manipulation and formatting.
• Organize data outputs using ORDER BY, RANK, GROUP BY, and HAVING clauses, as well as ROLLUP, CUBE, PIVOT, and UNPIVOT operators to structure query results effectively.
• Retrieve data from multiple tables using the JOIN clause and set operations like UNION, INTERSECT, and EXCEPT, which are essential for complex database queries across multiple data sets.