SQL Querying: Fundamentals Course Overview

SQL Querying: Fundamentals Course Overview

The SQL Querying: Fundamentals course is designed to introduce learners to the essentials of using SQL (Structured Query Language) to interact with databases. This comprehensive course covers the basics of executing queries, filtering data with conditions, and handling NULL values, which are crucial for data analysis and manipulation.

Starting with Module 1, participants learn how to connect to a SQL database using SQL Server Management Studio and perform basic data retrieval using the SELECT statement. The ability to modify and execute saved queries is also covered, laying the groundwork for more complex operations.

As the course progresses through Module 2 and beyond, students delve into performing conditional searches, working with functions to format and manipulate data, and organizing data effectively. This includes sorting, ranking, and grouping data, as well as summarizing results with various clauses and functions.

By the end of the course, learners are equipped to retrieve data from multiple tables, combining and comparing query results using UNION, INTERSECT, and EXCEPT statements, as well as mastering the JOIN clause. This structured query language course on SQL querying fundamentals is designed to empower individuals with the skills needed to query, analyze, and manage SQL databases effectively.

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  • Live Online Training (Duration : 8 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

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Course Prerequisites

Certainly, below are the minimum required prerequisites for successfully undertaking the SQL Querying: Fundamentals course, structured in bullet point format for easy inclusion in the FAQ section:


  • Basic computer literacy: Familiarity with operating a computer, managing files, and using typical office software.
  • Understanding of fundamental database concepts: Awareness of what databases are and the purpose they serve in storing and organizing data.
  • Knowledge of basic data types: A grasp of standard data types such as integers, decimals, and strings, which are common in many programming and database contexts.
  • Familiarity with spreadsheets: Experience with spreadsheet software like Microsoft Excel can be helpful, as it involves organizing data in a tabular form, similar to database tables.
  • Analytical thinking: Ability to think logically and analytically, which is important for understanding and formulating database queries.
  • No prior SQL experience required: This course is designed for beginners, so prior knowledge of SQL is not necessary.

These prerequisites are designed to ensure that learners have the foundational skills needed to effectively engage with the course material and maximize their learning outcomes. The course aims to build upon these foundational skills, so no advanced technical knowledge is required before starting.


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.