Data Analysis with SQL

Data Analysis with SQL

Using SQL for data analysis means working with a special language designed to pull useful information from large databases. SQL lets users ask specific questions—like “Which products sold the most?” or “How many users joined last week?”—and get answers quickly by organizing and filtering the data stored in tables.

It’s a valuable skill for anyone who works with data, because SQL makes it easier to find trends, measure performance, and make better choices. Instead of looking through huge files manually, SQL helps analyze big data sets in seconds, turning complex information into clear results that support smarter decisions.

Who should take the Exam?

This exam is ideal for:

• Data analysts and data scientists
• Business analysts and financial analysts
• Marketing and sales professionals
• IT professionals transitioning into data roles
• Students pursuing analytics or business degrees
• Entry-level professionals wanting to upskill
• Product managers working with user data
• Freelancers and consultants analyzing client data

Skills Required

• Basic familiarity with spreadsheets or databases
• Logical thinking and comfort with structured tasks
• No programming experience required
• Willingness to learn syntax and query logic

Course Outline

Domain 1 - Introduction to SQL and Databases

Domain 2 - Core SQL Syntax and Query Structure

Domain 3 - Aggregating and Grouping Data

Domain 4 - Joining Tables for Deeper Insights

Domain 5 - Subqueries and Nested Queries

Domain 6 - Common Table Expressions (CTEs)

Domain 7 - Window Functions and Advanced Analysis

Domain 8 - Data Cleaning and Transformation with SQL

Domain 9 - Real-World Case Studies and Projects

Domain 10 - Query Optimization and Best Practices