SQL - From Basics to Professional

This comprehensive SQL course is designed to take you from the fundamentals of database management to advanced-level data manipulation and optimization techniques. Starting with the basics, you will learn about relational database concepts, SQL syntax, data types, and how to create, read, update, and delete data (CRUD operations). Through practical examples and interactive exercises, you will gain the skills to write efficient SQL queries and understand how databases store and manage information.

As the course progresses, you will explore more advanced topics such as joins, subqueries, views, stored procedures, triggers, and functions. You will also learn how to work with aggregate functions, grouping, and filtering to extract meaningful insights from data. Performance tuning techniques, indexing strategies, and query optimization will be covered to ensure you can work with large datasets efficiently. Real-world case studies will help you apply these concepts to solve practical business problems.

By the end of the course, you will have the expertise to work confidently with databases in professional environments, whether for application development, data analytics, or reporting. You will be equipped to handle SQL in various relational database management systems such as MySQL, PostgreSQL, SQL Server, and Oracle. This course is ideal for aspiring database administrators, backend developers, data analysts, and anyone seeking to master SQL as a critical skill for their career.

Course Highlights / Contents

SQL (8 hours sessions | 62 topics)
Data Warehouse concept
What is DBMS?
Advantage of using DBMS
Databases implementation in Real Word
Relational Databases
Non-Relational Databases
No-SQL Databases
SQL Object
What is SQL
What is Table?
Datatypes in SQL
Columns in Table
DDL, DML and DCL in SQL
insert data in table
update data in table
select in table
CRUD Operations
Delete, Drop and Truncate
Alter in SQL
ORDER BY in SQL
In Keyword
Joins in SQL
Why we need Joins
INNER JOIN
LEFT JOIN
RIGHT JOIN
FULL JOIN
SELF JOIN
Aggregate Function
MIN, MAX
COUNT
AVG
SUM
Window function
RANK
DENSE RANK
ROW NUMBER
LAG, LEAD
clause in SQL
WHERE
AND and OR
HAVING
GROUP BY
Sub-Query
in keyword
SQL Constraints
Not Null
Primary Key
auto-increment
Composite Key
Unique Key
Candidate Key
Foreign Key
Check
DEFAULT
CREATE INDEX
Schema
What is schema?
Advantage of Schema in Data warehouse
Star Schema
Snowflakes
Merge tables
Union In SQL
Union All in SQL
Intersect in SQL
MINUS in SQL
SQL Operators
Arithmatic Operator
Bitwise Operator
Comparison Operator
Compound Operators
Logical Operator
Introduction to Docker and Containers
What is Containerization?
Key Docker Concepts
Use Cases for Docker
Setting Up Docker
Installing Docker
Verifying Docker Installation
Basic Docker Commands
Working with Docker Images
What is a Docker Image?
Creating Docker Images
Image Repositories and Docker Hub
Working with Docker Containers
What is a Docker Container?
Interactive Containers
Container Logs and Debugging
Docker Volumes and Storage
What are Docker Volumes?
Networking in Docker
Docker Networks Overview
Port Mapping and Exposing Services
Docker Compose
Introduction to Docker Compose
Managing Multi-Container Environments
Docker Monitoring and Logging
Docker Monitoring and Logging
Docker Troubleshooting
Docker Troubleshooting
Hands-On Labs and Projects
Projects
Final Exam/Assessment
Assessment
Version Control – Understanding
What is Version Control?
Keeping Historical Copies
Advantage of Version Control
Git Introduction
What is Git?
The Command Line
Installing Git
First Time Git Setup
Creating github Repository
Git Basics
Getting a Git Repository
Clone Project
Basic Pull and Push Code
Recording Changes to the Repository
Viewing the Commit History
Undoing Things
Wokring with Remotes
Tagging
Git alias
Git Branching
Basic Branching and Merging
Branch Management
Branching Workflow
Remote Branch
Rebasing
Git on Server
Git on Server
SSH Public Key
Smart HTTP
GitWeb and GitLab
Distributed Git
Distributed Workflows
Contribution to a project
Maintaining a project
GitHub
Account Setup and Configuration
Contributing to Project
Maintain a project
Github Scripting
Git Tools
Interactive Staging
Stashing and Cleaning
Seaching , Rewriting and Reset
Advanced Merging
Debugging in GIT
Submodule , Bundling, Replace and Credential Storage
Configuration, Attribute and Hooks
Introduction to Computer Usage Etiquettes
Meaning of Computer Etiquettes
Computer Etiquettes vs Computer Knowledge
Importance of Effective Computer Usage
Productivity-Oriented Computer Behavior
Common Inefficient Computer Usage Habits
Rules for Becoming a Smart Computer User
Computer Components and System Basics
Overview of Computer System Architecture
Input Devices and Their Usage
Output Devices and Their Usage
Processing Units (CPU, RAM) and Their Role
Storage Devices and Data Handling
Ports, Cables, and Connectivity
Safe Handling of Computer Hardware
Keyboard Types, Layout, and Usage Etiquettes
Types of Keyboards (Wired, Wireless, Mechanical, Virtual)
Keyboard Layouts (QWERTY, AZERTY, DVORAK)
Alphanumeric Keys and Their Functions
Function Keys (F1–F12) Explained
Modifier Keys (Ctrl, Alt, Shift, Windows)
Special Purpose Keys (Enter, Backspace, Delete, Esc)
Numeric Keypad and Its Professional Use
Keyboard Care, Cleaning, and Maintenance
Mouse Types, Settings, and Efficient Usage
Types of Mouse (Optical, Laser, Trackball, Touch)
Mouse Buttons and Scroll Wheel Functions
Click Techniques (Single, Double, Right Click)
Drag and Drop in Real Work Scenarios
Mouse Sensitivity and Speed Settings
Using Mouse with Keyboard Together
Mouse Care and Usage Mistakes
System Start, Login, and Power Management Etiquettes
Correct System Startup Process
User Accounts and Login Practices
Password Handling and Screen Locking
Shutdown, Restart, Sleep, and Hibernate
Avoiding Forced Shutdowns
Power Saving and Battery Usage Tips
Desktop, Taskbar, and Window Management
Understanding Desktop Elements
Managing Multiple Applications Efficiently
Taskbar Components and Usage
Start Menu Organization
Opening, Switching, and Closing Windows
Snapping and Arranging Windows
File, Folder, and Data Organization Etiquettes
Understanding Files and File Formats
Creating Folder Structures for Work
File Naming Conventions
Copy, Move, Rename, and Delete Operations
Recycle Bin Management
Searching Files Using System Tools
Basic Backup Practices
Keyboard Shortcuts for Productivity
Why Shortcuts Improve Speed and Accuracy
Essential Editing Shortcuts
Text Selection Shortcuts
File and Folder Operation Shortcuts
Window and Screen Management Shortcuts
System Security Shortcuts
Common Shortcut Mistakes and Safety Tips
System Commands and Built-in Tools
Using Run Command Effectively
Common Run Commands for Daily Use
Task Manager Tabs and Functions
Basic Command Prompt Commands
System Information and Control Panel Tools
Troubleshooting Simple System Issues
Typing Skills and Speed Development
Importance of Typing Speed in Real Jobs
Home Row Keys and Finger Placement
Touch Typing vs Hunt and Peck Method
Typing Accuracy Improvement Techniques
Speed Building Exercises
Typing Speed Measurement (WPM, CPM)
Daily Typing Practice Routine
Internet and Browser Efficiency Etiquettes
Understanding Web Browsers
Using Tabs, Windows, and Incognito Mode
Bookmarks and Download Management
Effective Searching Techniques
Browser Shortcuts for Speed
Safe and Ethical Internet Usage
Email and Digital Communication Efficiency
Structure of an Effective Email
Writing Short and Clear Messages
Email Organization and Filters
Attachments and Cloud Links
Email Shortcuts and Quick Actions
Professional Online Communication Habits
Health, Safety, and Sustainable Computer Usage
Correct Sitting Posture and Desk Setup
Eye Care and Screen Brightness Settings
Break Techniques (20-20-20 Rule)
Preventing Repetitive Strain Injuries
Balancing Speed, Accuracy, and Health
Advanced Productivity and Best Practices
Time Management Using Computer Tools
Reducing Repetitive Tasks
Building Daily Computer Discipline
Avoiding Digital Distractions
Becoming a Confident and Efficient Computer User

PRICE

Duration

Every session is divided into three sections.

  1. Doubt Section (15 min) : Before Session starts, Recap and doubt Sessions
  2. Learning Section (45 min) : Learning Discussion as per syllabus.
  3. Practice Section (30 min) : Practice Evaluation once Discussion is over.

Who All Can Join?

  • Career Gap
    If you having any career gap and you are not in current market. This course can help you to learn current frameworks from scratch. and will help you to groom for modern job requirements
  • Up-skill
    Planning to up-skill yourself. this course will give you understanding as per current market requirement and edge solutions.
  • Who Looking for Job-Placement
    We at TechElliptica, first we train you as per market-standard and make you skillful. Then we certify you as you are capable for current market requirement and then we place you in top MNCs.
  • Internship
    Learning has no limits. You can learn in any age. We at TechElliptica provide internship as well. once your internship will over, we also help you in job.

Future Scope / Roles

once you finish this course, you can apply for below roles and get placed from TechElliptica
  1. SQL Developer – Writing queries, stored procedures, triggers, and optimizing database operations.
  2. Database Administrator (DBA) – Managing database security, backups, and performance tuning.
  3. Database Architect – Designing database schemas, data models, and integration strategies.
  4. ETL Developer – Building data pipelines using SQL-based ETL tools.
  5. Data Warehouse Engineer – Designing and maintaining large-scale analytical databases.
  6. Data Analyst – Analyzing datasets, creating reports, and providing insights using SQL.
  7. Business Intelligence (BI) Developer – Creating dashboards and BI reports (Power BI, Tableau, Looker) with SQL.
  8. Reporting Analyst – Generating periodic and ad-hoc reports using SQL queries.
  9. Data Visualization Specialist – Preparing SQL-based datasets for visualization tools.
  10. Market Research Analyst (Data-focused) – Using SQL to study trends and patterns.