The SQL Certification Course is designed to equip learners with the skills and knowledge needed to work confidently with relational databases. Structured Query Language (SQL) is the foundation of data management and analysis, making it one of the most in-demand technical skills across industries today. This course prepares you to query, manage, and manipulate data, while also providing a solid foundation for database administration, data analytics, and business intelligence roles.
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By Namifly
Last updated: September 2025
$999
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Course Description
The SQL Certification Course provides a comprehensive foundation in Structured Query Language (SQL), the industry-standard language for managing and manipulating relational databases. SQL is a core skill for data analysts, developers, business intelligence professionals, and anyone who works with data. This course is designed to take learners from beginner concepts to advanced techniques, ensuring they gain both theoretical knowledge and hands-on practice.
Through interactive lessons, real-world examples, and guided projects, learners will master the ability to query data, build and manage database structures, and apply SQL in practical business and technical contexts. By the end of the program, participants will not only be confident in their ability to write and optimize SQL queries but will also be fully prepared for industry-recognized SQL certification exams.
Why Take This Course?
SQL is one of the most in-demand technical skills in today’s job market. Whether you are analyzing data for business insights, building applications, or managing enterprise databases, SQL expertise is essential. This certification course ensures you gain:
Practical, hands-on skills for real-world database work.
A structured learning path aligned with certification standards.
The confidence to tackle data challenges across industries.
Course Curriculum
Expand the sections below to see the detailed curriculum for this course.
MySQL and its Use Cases
Setup MySQL database
Discuss data types that can be used
Leverage CREATE TABLE DDL for setting up a schema of tables
Using Primary Key and Foreign Key constraints
Insert, Update and Delete for DML operations
Alter and Drop existing tables
Adding and examining Constraints on tables
Select and Select Distinct for removing duplicates
Leverage Where statement to narrow resulting data set
Count and Limit for diagnosing and controlling resulting data set
Specify ordering of retrieved data by using ORDER BY
Leverage sub-queries with IN and BETWEEN
Getting statistics about data by using MIN MAX and AVG
leverage GROUP BY to aggregate data in a custom way
Conditional GROUP BY statements with HAVING clause
Creating tables using primary key references
INNER JOIN for full joins
LEFT and RIGHT joins for joining data
Full Outer Join and Union
Perform advanced calculations with mathematical functions
Operations on String and Text columns
Leverage Self-Join when needed to join the table with itself
MySQL Application with Node.js (Express)
MySQL Application with Python (Django)
MySQL Application with PHP (Laravel)
Instructor information not available.
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Frequently Asked Questions
Find answers to common questions about this course.
SQL (Structured Query Language) is the standard language for interacting with relational databases. It’s essential for retrieving, managing, and analyzing data. Since nearly every organization relies on data, SQL is one of the most in-demand technical skills in IT, data analytics, and business intelligence
This course is ideal for:
Beginners who want to start a career in data or IT.
Data analysts and business professionals who work with data daily.
Developers who need database skills for applications.
Students or career changers looking to break into data-driven fields.
This course prepares you for widely recognized SQL certifications, including:
Microsoft SQL Server certification paths
Oracle Database SQL Certified Associate
IBM SQL certification
MySQL and PostgreSQL certifications
Absolutely. SQL remains the foundation for data management, even in big data platforms like Spark, Hive, and Google BigQuery. Most modern analytics and cloud tools use SQL as the query language.
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