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SQL (Structured Query Language)

Unlock the power of data with our in-depth SQL and Relational Databases course! Designed for beginners and aspiring data professionals, this curriculum will take you from foundational concepts to advanced database operations, equipping you with the skills to design, query, and optimize databases across multiple platforms.

Original price was: ₹4,999.00.Current price is: ₹599.00.

About This Course

This course covers everything from basic SQL queries to advanced database operations, giving you hands-on experience with MySQL, PostgreSQL, Oracle, and SQLite. Whether you’re a student, aspiring data analyst, or developer, this course will equip you with the essential skills to design, manage, and optimize databases for real-world applications.

What You’ll Learn:

SQL Essentials: Understand relational database concepts, master SQL commands, and learn to filter and aggregate data.
Database Operations: Perform CRUD operations, join tables, and write complex subqueries.
Advanced Techniques: Work with views, indexing, transactions, and error handling.
Database-Specific Features: Explore unique capabilities of MySQL, PostgreSQL, Oracle, and SQLite.
Python Integration: Use Python to interact with databases, run queries, and build dynamic applications.
Optimization & Projects: Learn query optimization techniques and complete a capstone project integrating multiple databases.

By the end of this course, you’ll be confident in handling any SQL challenge, from small apps to large-scale systems. Let’s embark on your SQL journey and build the foundation for a thriving data-driven career!

Course Content

Module 1 - Introduction to Relational Databases and SQL

Fundamentals Of Databases

Relational Database Concepts

Overview of SQL

Installing MYSQL

Writing SQL Queries

Select, Insert And Update

Delete command

Operators And Wildcards

Aggregation And SQL Clauses

Module 2 - SQL Operations Across Databases

Constraints in SQL

Joins in SQL

Practice Questions On Joins

Subqueries in SQL

Practice On Subqueries

Module 3 – Advanced SQL Concepts

Views in SQL

Indexes in SQL

Practice on Views and Indexes

Transactions in SQL

Error handling in SQL

Module 4 - Database-Specific Features

Part 1 – MySQL Advance Features

Part 2 – MySQL Advance Features

Part 1 – Advance Features of PostgreSQL

Part 2 – Advance Features of PostgreSQL

Oracle Advance Features

Module 5 - SQLite and Lightweight Databases

Intro to SQLite and Setting up a Simple APP

JSON And Optimizing Queries

Module 6 - Python Connectivity with Databases

Setting Up Connection

CRUD Operations

Python with PostgreSQL

Error Handling

Python with Sqlite3

Module 7 - Integration Projects and Optimization

Integration With Two Databases

MySQL And PostgreSQL

MySQL And SQLite

PostgreSQL And SQLite

Query Execution Plans and Optimizing Queries

Project

MultiDB-Master

Earn A Certificate

Earning a certificate from Vital Skills enhances your professional credentials and expertise, boosting your career opportunities. It also fosters personal growth and confidence in your abilities

Why Join This Course?

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Project Based Learning

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FAQs (Frequently Asked Questions)

Do I need Prior experience in programming?

Courses are designed from scratch by professionals. No prior knowledge is needed.

How is the course delivered?

The course is usually delivered through a combination of video lectures and projects.

What are the career prospects after completing the course?

After completing a SQL course, career prospects include roles such as Software Engineer (Backend), Cloud Database Specialist, Business Intelligence Developer, Data Engineer, Data Analyst, SQL Developer, Database Administrator and Business Intelligence Professionals

Original price was: ₹4,999.00.Current price is: ₹599.00.

Use Coupon Code VITAL100 on checkout and get instant ₹100/- OFF on your next order!

Total Duration

18.5 Hours

Total Lessons

Course Validity

Lifetime

Level

All Levels

Job Opportunities

Cloud Database Specialist

Business Intelligence Developer

Data Engineer

Data Analyst

SQL Developer

Database Administrator

Software Engineer (Backend)

Target Audience

Business Intelligence Professionals
System Administrators
Data Analysts
IT Professionals
Students
Software Developers
Researchers

SQL (Structured Query Language)