Last Updated : 19 Nov 2023

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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Course Fee	700
Total Fees	700 (USD)

USD

525^♱

View Fees Breakdown

Course Fee	525
Total Fees	525 (USD)

USD

^♱

View Fees Breakdown

Flexi Video	16,449
Official E-coursebook
Exam Voucher (optional)
Hands-On-Labs²	4,159
+ GST 18%	4,259
Total Fees (without exam & Labs)	22,359 (INR)
Total Fees (with Labs)	28,359 (INR)

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Schedule personalized sessions based upon your availability.

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Experience exceptional training with the confidence of our Happiness Guarantee, ensuring your satisfaction or a full refund.

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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.