Master SQL & Unlock the Power of Data
Learn to store, retrieve, manage and analyze data using Structured Query Language. Build practical skills in SQL queries, joins, subqueries, database design, window functions and real-world database operations.
Write queries to retrieve, filter, sort and analyze relational data.
Learn tables, relationships, constraints and essential database operations.
Explore joins, subqueries, CTEs and analytical window functions.
Apply SQL knowledge to realistic business database scenarios.
Learn to Work with Data Using SQL.
SQL, or Structured Query Language,
is widely used to manage and
analyze data stored in
relational databases.
This course introduces database
fundamentals, SQL syntax,
data retrieval, filtering,
joins, grouping, subqueries,
database design and
advanced analytical queries.
Develop the skills to
create databases, work
with related tables,
extract business insights
and write efficient queries
for practical applications.
SQL Skills You'll Develop
Build practical expertise in querying, organizing, managing and analyzing relational databases.
SQL Fundamentals
Understand relational databases, SQL syntax, tables, columns and essential query operations.
Data Retrieval & Filtering
Write SELECT queries, apply WHERE conditions, sort records and work with SQL operators.
Joins & Relationships
Combine related data from multiple tables using INNER, LEFT, RIGHT and other joins.
Advanced SQL Queries
Explore subqueries, common table expressions, window functions and complex reporting queries.
Database Design
Create tables, define keys and constraints, build relationships and understand normalization.
SQL for Data Analysis
Aggregate business data, calculate metrics, identify patterns and prepare analytical reports.
SQL Technologies You'll Explore
Learn important SQL commands, database concepts and query techniques.
SQL Course Syllabus
A structured roadmap covering SQL fundamentals, relational databases, joins, advanced queries and practical database projects.
Module 01 — Introduction to SQL & Databases
- What is SQL?
- Introduction to databases and DBMS
- Relational database concepts
- Tables, rows and columns
- Introduction to MySQL
- Installing MySQL and MySQL Workbench
- Creating your first database
Module 02 — SQL Basics & Data Retrieval
- SELECT statement
- SELECT DISTINCT
- WHERE clause
- Comparison and logical operators
- BETWEEN, IN and LIKE
- ORDER BY
- LIMIT and OFFSET
- Working with NULL values
Module 03 — SQL Functions & Aggregation
- COUNT, SUM, AVG, MIN and MAX
- GROUP BY
- HAVING clause
- String functions
- Date and time functions
- Numeric functions
- CASE expressions
- Business reporting queries
Module 04 — SQL Joins & Table Relationships
- Understanding table relationships
- INNER JOIN
- LEFT JOIN
- RIGHT JOIN
- CROSS JOIN
- SELF JOIN
- Joining multiple tables
- Practical join-based queries
Module 05 — Subqueries & Common Table Expressions
- Introduction to subqueries
- Single-row and multi-row subqueries
- Correlated subqueries
- EXISTS and NOT EXISTS
- Common Table Expressions (CTEs)
- Recursive CTE fundamentals
- Combining complex query results
Module 06 — Database Design & Management
- CREATE, ALTER and DROP
- INSERT, UPDATE and DELETE
- Primary keys and foreign keys
- UNIQUE, NOT NULL and CHECK constraints
- One-to-many relationships
- Database normalization
- Entity Relationship Diagrams (ERD)
- Designing relational tables
Module 07 — Advanced SQL & Window Functions
- Introduction to window functions
- ROW_NUMBER()
- RANK() and DENSE_RANK()
- PARTITION BY
- LEAD() and LAG()
- Running totals
- Ranking and analytical queries
- Advanced reporting scenarios
Module 08 — Views, Indexes & Transactions
- Creating and managing views
- Introduction to indexes
- Query execution plans
- Basic query optimization
- Transactions and ACID properties
- COMMIT and ROLLBACK
- Stored procedures overview
- Database security fundamentals
Module 09 — SQL for Data Analytics
- Sales data analysis
- Customer segmentation queries
- Revenue and profit calculations
- Monthly and yearly reporting
- Finding top-performing products
- Trend analysis using SQL
- Preparing data for dashboards
- SQL interview practice problems
Module 10 — Real-World Projects & Portfolio
- Database requirement analysis
- Creating database schemas
- Importing sample datasets
- Writing complex SQL queries
- Building analytical reports
- Query testing and validation
- Database project documentation
- Final SQL project presentation
Build Real-World SQL Projects
Apply SQL knowledge to realistic business and database management scenarios.
E-Commerce Database
Design tables for customers, products, orders and payments. Use SQL joins and aggregations to generate business reports.
Employee Management Database
Create an employee database with departments, salaries and attendance records. Build reporting queries using joins and subqueries.
Retail Sales Analysis
Analyze sales transactions, identify top products, calculate revenue trends and generate performance reports using SQL.
Build Database Skills for Tech & Analytics Careers.
SQL is used across software
development, data analytics,
business intelligence,
finance and database
administration.
SQL querying and relational
database knowledge can
support technical and
analytical career paths.
Different roles may require
additional programming,
database administration
or analytical expertise.
Questions About SQL
Can beginners learn SQL?
Do I need coding knowledge to learn SQL?
Does the course cover SQL Joins?
Will I learn advanced SQL queries?
Which database is used in the course?
Is SQL useful for Data Analytics?
Ready to Master SQL & Database Management?
Explore SQL training with Placify India and develop practical skills in queries, joins, database design, data analysis and real-world SQL projects.