SQL for Data Analytics & Business Intelligence

Master SQL from the ground up and learn how to work with real-world business data. Build strong foundations in querying, joins, subqueries, CTEs, and window functions while solving practical analytics and reporting scenarios used by Data Analysts and Business Intelligence professionals.

• Level: Intermediate
• Duration: 20 hours of content
• Language: English
• Format: Recorded lessons
• Certificate of completion included
• Price: from ₹199

What you will learn in SQL for Data Analytics & Business Intelligence

• SQL Fundamentals – Learn the core concepts of SQL and databases
• Data Filtering & Sorting – Retrieve and organize data efficiently
• Joins & Relationships – Combine data from multiple tables
• Subqueries & CTEs – Write advanced and reusable queries
• Window Functions – Perform analytical calculations on data
• Business Reporting & Analytics – Solve real-world reporting and BI scenarios

Who this course is for

• Students – Build strong SQL foundations for academics and future careers
• Aspiring Data Analysts – Learn the SQL skills required for analytics and reporting roles Working Professionals
• Career Switchers – Start your journey into Data Analytics and Business Intelligence
• Working Professionals – Use SQL to work with business data and generate insights

What is included

• Video Lessons – Learn with short and focused lessons
• Study Notes – Quick revision notes and resources
• Quizzes – Test your understanding after each module
• Practice Questions – Strengthen concepts through practice
• Interview Questions – Prepare for interviews and assessments
• Certificate – Earn a certificate of completion
• Completion Credits – Earn platform credits for completing the course
• Renewal Credits – Save on course renewals and continue learning

SQL for Data Analytics & Business Intelligence curriculum

• SQL Foundations & Setup
  • What is SQL & Why It Matters
  • Where is SQL Used? Real-world Applications
  • SQL vs Excel -- When to Use What
  • Career Paths Where SQL is Used
  • Types of Databases (Relational vs Others)
  • Installing MySQL + MySQL Workbench Setup
  • Understanding the SQL Interface
• Understanding Databases & Tables
  • What is a Database?
  • Tables, Rows & Columns Explained
  • Relational Database Concept & Relationships
  • Reading an ER Diagram -- Intro (Tables & Links)
  • Understanding Data Types in SQL
  • Real-world Database Examples (Flipkart, Swiggy style)
• Building Your First Database & Tables
  • CREATE DATABASE & DROP DATABASE
  • CREATE TABLE -- Understanding Table Structure
  • Choosing the Right Data Types
  • Creating a Student Table -- Hands-on
  • Creating an Employee Table -- Hands-on
  • Common Beginner Mistakes in Table Creation
• Adding Data into Tables (DML)
  • INSERT INTO -- Single Record
  • INSERT INTO -- Multiple Records at Once
  • UPDATE Statement with WHERE
  • DELETE with WHERE (vs without!) -- Safety Warning
  • TRUNCATE TABLE vs DROP TABLE
• Writing Your First Queries (SELECT)
  • Writing Your First SQL Query
  • SELECT Statement -- Fetching All Columns
  • Selecting Specific Columns
  • SELECT DISTINCT -- Removing Duplicates
  • Column Aliases with AS
  • Arithmetic Operations in SELECT
  • Concatenating Columns (CONCAT)
  • Practice Session -- SELECT Queries
• Filtering Data (WHERE Clause)
  • WHERE Clause -- Filtering Rows
  • Comparison Operators (=, !=, >, =, <=)
  • AND, OR, NOT Operators
  • IN Operator
  • BETWEEN Operator
  • LIKE Operator + Wildcards (%, _)
  • IS NULL / IS NOT NULL
  • Filtering Real-world Data -- Practice
• Sorting & Limiting Results
  • ORDER BY -- Sorting Results
  • Ascending vs Descending & Multi-column Sort
  • LIMIT / TOP / FETCH FIRST
  • Cleaning & Formatting Query Output
• Constraints & Data Integrity
  • PRIMARY KEY
  • Composite PRIMARY KEY -- When One Column Isn't Enough
  • FOREIGN KEY
  • UNIQUE, NOT NULL, DEFAULT Constraints
  • CHECK Constraint
  • AUTO_INCREMENT
  • Real-world Constraint Examples
• Modifying Existing Tables (ALTER)
  • ALTER TABLE -- What It Is & When to Use It
  • ALTER TABLE -- ADD COLUMN
  • ALTER TABLE -- MODIFY COLUMN (Change Data Type / Size)
  • ALTER TABLE -- RENAME COLUMN & RENAME TABLE
  • ALTER TABLE -- DROP COLUMN
  • Best Practices While Altering Tables in Production
• SQL Functions
  • COUNT() -- Counting Rows with Real-world Examples
  • SUM() & AVG() -- Totals and Averages on Business Data
  • MIN() & MAX() -- Finding Extremes in Data
  • Combining Aggregate Functions in One Query
  • CASE WHEN -- Conditional Logic in SQL
  • CASE WHEN -- Syntax & Writing with Mentor
  • CASE WHEN -- Real-world Practice
  • UPPER(), LOWER(), LENGTH() -- Cleaning Text Data
  • SUBSTRING() & REPLACE() -- Extracting & Fixing Text
  • ROUND() & Numeric Functions
  • Date & Time Functions (DATE, NOW, DATEDIFF, etc.)
• Analyzing Data (GROUP BY & HAVING)
  • GROUP BY -- Grouping Rows
  • GROUP BY Multiple Columns
  • HAVING Clause
  • WHERE vs HAVING -- Key Difference
  • Finding Business Insights -- Sales & Employee Analysis
  • interview: Filtering, Sorting & Grouping
• Joining Tables
  • Why Joins are Needed
  • ER Diagrams Revisited -- Reading Relationships for Joins
  • INNER JOIN
  • LEFT JOIN -- Keeping All Records from Left Table
  • RIGHT JOIN & When to Use It
  • FULL JOIN
  • SELF JOIN
  • CROSS JOIN
  • Joining Multiple Tables
  • JOIN Practice Problems
  • interview: JOINs
• UNION & Set Operations
  • UNION vs UNION ALL -- Key Difference with Examples
• Subqueries
  • Introduction to Subqueries
  • Subqueries in WHERE Clause
  • Subqueries in FROM Clause
  • Subqueries in SELECT Clause
  • Nested & Correlated Subqueries
  • Real-world Subquery Examples
  • interview: Subqueries
• Views in SQL
  • What is a View? CREATE VIEW
  • Updating & Dropping Views
  • Advantages of Views
• Indexes & Query Performance
  • What is an Index & Why It Matters
  • CREATE INDEX & Unique Index
  • How Indexing Improves Performance
  • Drawbacks of Over-Indexing
• Stored Procedures
  • Introduction to Stored Procedures
  • Creating & Executing Stored Procedures
  • Passing Parameters
  • Modifying & Dropping Procedures
• User-defined Functions (UDFs)
  • Introduction to UDFs
  • Creating Scalar Functions
  • Creating Table-valued Functions
  • Using UDFs in Queries -- Real-world Practice
• Transactions & ACID
  • What are Transactions?
  • COMMIT, ROLLBACK, SAVEPOINT
  • ACID Properties Explained
  • Real-world Transaction Example
• CTEs (Common Table Expressions)
  • Introduction to CTEs
  • Simple CTE
  • Multiple CTEs in One Query
  • Recursive CTE
  • CTE vs Subquery -- When to Use What
  • interview: CTEs
• Window Functions
  • Introduction to Window Functions & OVER()
  • PARTITION BY Clause
  • ORDER BY Inside Window Functions
  • ROW_NUMBER()
  • RANK() & DENSE_RANK()
  • LEAD() & LAG()
  • FIRST_VALUE() & LAST_VALUE()
  • Running Total & Moving Average
  • Real-world Window Function Scenarios
  • interview: Window Functions
• SQL for Real-world Analytics
  • Customer Analysis Queries
  • Sales Dashboard Queries
  • HR Analytics Queries
  • E-commerce SQL Analysis
  • Banking Data Analysis
  • Instagram-style Database Queries
  • Netflix-style Database Queries
  • Swiggy/Zomato SQL Scenarios
• SQL Optimization
  • How SQL Executes a Query (Execution Order)
  • Query Optimization Basics & Common Mistakes
  • Improving Query Performance
  • Indexing Strategies
  • Writing Cleaner, Readable Queries
• SQL vs Python
  • SQL vs Python -- When to Use What (Data Analyst's View)
• SQL interviewaration
  • Beginner SQL Interview Questions
  • Intermediate SQL Interview Questions
  • Advanced SQL Interview Questions
  • Scenario-based SQL Questions
  • Top SQL Interview Patterns
  • Live SQL Problem Solving Session
• Hands-on SQL Projects
  • Student Management System
  • Library Management System
  • Hospital Database System
  • Inventory Management System
  • E-commerce Database Project
  • Food Delivery Database Project
  • HR Analytics Dashboard Project
  • Final Capstone SQL Project

Tools you will use

SQL

Your instructor

Kartik Gupta, Senior Data Scientist

Kartik Gupta is a seasoned Data Science, Analytics, and AI mentor known for helping learners build practical, industry-relevant skills. His areas of expertise include SQL, Excel, Machine Learning, Computer Vision, NLP, and Generative AI. Having trained lakhs of learners across EdTech platforms and academic institutions, he combines strong technical knowledge with a hands-on teaching style that makes complex concepts easy to understand and apply.

Access plans and pricing

• Monthly Access: ₹199 (regular price ₹249), access for 1 month. Perfect for getting started with SQL
• Quarterly Access: ₹399 (regular price ₹449), access for 3 months. Most learners complete the course within this period
• Extended Access: ₹499 (regular price ₹699), access for 6 months. Get 10% of up to 50 use code EARLYBIRD
• Annual Access: ₹799 (regular price ₹999), access for 1 year. Maximum flexibility with completion credit benefits

Frequently asked questions about SQL for Data Analytics & Business Intelligence

Is this course suitable for beginners?

Yes. This course starts with SQL fundamentals and gradually progresses to advanced topics such as joins, subqueries, CTEs, and window functions.

Do I need any prior programming experience?

No. No prior programming or database experience is required to start this course.

Will I receive a certificate after completing the course?

Yes. Learners who meet the course completion requirements will receive a verifiable Certificate of Completion.

How long will I have access to the course?

Access duration depends on the plan you choose. Plans range from 1 month to 12 months and include additional bonus access days.

Is this course suitable for Data Analytics and Business Intelligence roles?

Yes. The course focuses on SQL concepts and business scenarios commonly used by Data Analysts and Business Intelligence professionals.

What are Completion Credits and Renewal Credits?

Completion Credits reward eligible learners for completing their course and can be used on future purchases. Renewal Credits help reduce the cost of extending access to the same course.

Can I get a refund after purchasing a course?

Due to the digital nature of our courses and instant access to learning materials, all purchases are non-refundable. We encourage learners to review the course details, curriculum, and access plans carefully before enrolling.

What if I need more time to complete the course?

If your course access expires before completion, you may be eligible for Renewal Credits that can be applied toward extending access to the same course

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