SQL Bootcamp – Essential Skills for Data-Driven Professionals

Who Should Join?

Designed For

Aspiring analysts, engineers, data scientists, or any professional working with data.

No Technical Background?

No problem—this course starts from the basics and builds your skills step by step.

Why Students Love Us

Ananya Gupta

Aspiring Data Analyst

This SQL bootcamp helped me break into data analytics. Everything is hands-on and super practical!

Mohit Rane

Business Analyst

The course made SQL so easy to understand. I now pull my own reports and make faster decisions.

Tanya Mehta

Junior Data Scientist

From no knowledge to writing complex queries—this bootcamp is a game-changer!

Arjun Nair

Data Enthusiast

I loved the interactive format and real-world examples. It felt like on-the-job training!

Sneha Iyer

Operations Manager

I no longer depend on my tech team to fetch data. This bootcamp gave me that freedom.

SQL Fundamentals Bootcamp
Curriculum

Course Modules

Module 1: Laying the Foundation
Module 2: Sorting, Limiting, and Combining Data
Module 3: Analyzing Data
Module 4: Advanced Data Manipulation

SQL Fundamentals Bootcamp Curriculum

Module 1: Laying the Foundation - Understanding Relational Databases and Basic Queries (Week 1)

Introduction to the World of Data and Databases

What is Data and Why is it Important?
Introduction to Databases: Organizing Information Effectively
Types of Databases: Relational vs. Non-Relational (brief overview)
Understanding Relational Database Concepts: Tables, Rows, Columns, Keys (Primary & Foreign)
The Role of SQL in Data Management
Setting up Your Environment: Introduction to SQL Clients and Sample Databases

Hands-on Exercise:

Connecting to a Sample Database and Exploring its Structure.

The Power of SELECT - Retrieving Information

Basic SQL Syntax: Keywords, Statements, Clauses
The SELECT Statement: Choosing the Columns You Need
Selecting All Columns: The Asterisk (*)
Aliasing Columns for Clarity

Hands-on Exercise:

Writing Simple SELECT queries to retrieve specific data.

Filtering Data with Precision - The WHERE Clause

Introducing the WHERE Clause: Specifying Conditions
Comparison Operators: =, >, <,>=, <=, !=or <>
Logical Operators: AND, OR, NOT
The BETWEEN Operator: Selecting within a Range
The IN Operator: Matching Against a List of Values
The LIKE Operator: Pattern Matching with Wildcards (%, _)
The IS NULL and IS NOT NULL Operators: Handling Missing Data

Hands-on Exercise:

Writing SELECT queries with various WHERE clause conditions.

Module 2: Sorting, Limiting, and Combining Data (Week 2)

Organizing Your Results - The ORDER BY Clause

Sorting Data: Ascending (ASC) and Descending (DESC) Order

Sorting by Multiple Columns

Hands-on Exercise:

Writing queries with ORDER BY to present data logically.

Controlling the Quantity - The LIMIT Clause (and OFFSET)

Limiting the Number of Rows Returned

Using OFFSET to Skip Rows (for pagination or sampling)

Hands-on Exercise:

Retrieving specific subsets of data using LIMIT and OFFSET.

Bringing Tables Together - The Power of JOINs

Understanding Relationships Between Tables

Types of Joins: INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN

The ON Clause: Specifying Join Conditions

Hands-on Exercise:

Writing various JOIN queries to combine data from multiple tables.

Module 3: Analyzing Data with Aggregate Functions and Grouping (Week 3)

Summarizing Data - Aggregate Functions

Introduction to Aggregate Functions

COUNT(), SUM(), AVG(), MIN(), MAX()

Using Aggregate Functions with SELECT

Hands-on Exercise:

Using aggregate functions to derive meaningful statistics.

Grouping Data for Analysis - The GROUP BY Clause

Grouping Rows Based on Column Values

Using Aggregate Functions with GROUP BY

The HAVING Clause

Hands-on Exercise:

Writing GROUP BY and HAVING queries to analyze data in segments.

Subqueries - Querying Within a Query

Introduction to Subqueries

Using Subqueries in SELECT, FROM, and WHERE Clauses

Types: Scalar, Row, and Table Subqueries

Hands-on Exercise:

Implementing subqueries to solve complex data tasks.

Module 4: Beyond the Basics - Data Manipulation and Database Design (Week 4)

Modifying Data - Introduction to DML

INSERT: Adding New Data

UPDATE: Modifying Existing Data

DELETE: Removing Data

Emphasis on backups and caution when manipulating data

Hands-on Exercise:

Practicing INSERT, UPDATE, and DELETE statements.

Basic Database Design Concepts

Normalization (1NF, 2NF, 3NF)

Entity-Relationship Diagrams (ERDs)

Understanding Data Types and Constraints (e.g., NOT NULL, UNIQUE)

Hands-on Exercise:

Designing a simple database schema for a scenario.

Views and Indexing (Introduction)

What are Views and Why Use Them?

Creating and Using Simple Views

Introduction to Indexing and Performance

Hands-on Exercise:

Creating and querying simple views.

Real-World Applications and Next Steps

SQL in Data Analysis, Marketing, and Project Management

Connecting SQL to BI tools and spreadsheets

Further Learning Resources and Course Wrap-up

Course Wrap-up and Q&A.

What Will You Learn?

By the end of the program, you'll be proficient in:

Week 1: Laying the Foundation
Introduction to databases, basic SQL syntax (SELECT, FROM, WHERE), filtering and sorting data.

Week 2: Combining and Refining Data
Joining tables, using ORDER BY and LIMIT.

Week 3: Unlocking Insights
Aggregate functions (COUNT, SUM, AVG), grouping data (GROUP BY, HAVING), subqueries.

Week 4: Beyond the Basics
Introduction to data manipulation (INSERT, UPDATE, DELETE), basic database design, views, and indexing.

Why Choose Our SQL
Bootcamp?

Crystal Clear Explanations

Designed for beginners and non-technical learners, our bootcamp breaks down complex SQL concepts into simple, easy-to-understand lessons.

Hands-On SQL Practice

You’ll actively write queries and solve real problems through structured exercises to truly master SQL—not just watch or read about it.

Real-World Use Cases

See how SQL is used in real-life business scenarios and data analysis. We teach not just *what* SQL is, but *how* it's used in practical applications.

Supportive Learning Environment

Join a community of learners and experienced mentors. Get your questions answered, participate in discussions, and stay motivated throughout the journey.

Earn Your SQL Bootcamp Certificate

Complete the SQL Bootcamp and receive a certificate that validates your ability to write, analyze, and optimize queries across real-world data sets—ideal for data analysts, developers, and aspiring data professionals.

Industry-Relevant Credential

Showcases your practical SQL knowledge and readiness for data-driven roles.

Shareable Certificate

Display it on LinkedIn, your resume, or portfolio to boost your visibility with employers.

Proof of Real-World Experience

Demonstrates your ability to solve real business problems using structured query language.

Ready to Take Control of Your Data?

Unlock your professional potential by enrolling in our SQL Fundamentals for Data Professionals Bootcamp today!

Frontend Developer Mastery

Backend Developer Launchpad

Fullstack Developer Career Tracks

Who Should Join?

Why Students Love Us

SQL Fundamentals Bootcamp
Curriculum

SQL Fundamentals Bootcamp Curriculum

Module 1: Laying the Foundation - Understanding Relational Databases and Basic Queries (Week 1)

Module 2: Sorting, Limiting, and Combining Data (Week 2)

Module 3: Analyzing Data with Aggregate Functions and Grouping (Week 3)

Module 4: Beyond the Basics - Data Manipulation and Database Design (Week 4)

What Will You Learn?