SQL for Data Analysis

Module 1: Introduction to SQL and Relational Databases

• Basics of SQL
• Overview of relational databases

Module 2: Basic SQL Queries

• SELECT statements
• Filtering with WHERE, LIMIT

Module 3: Aggregate Functions and Grouping

• Using COUNT, SUM, AVG, MIN, MAX
• GROUP BY and HAVING clauses

Module 4: Joining Tables

• INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN
• Combining data from multiple tables

Module 5: Subqueries and Nested Queries

• Writing efficient subqueries
• Using EXISTS, IN clauses

Module 6: Data Modification Statements

• INSERT, UPDATE, DELETE operations

Module 7: Advanced SQL Concepts

• Window functions
• CASE statements

Module 8: Data Cleaning and Validation

• Handling NULLs and duplicates
• Data consistency checks

Module 9: Performance Optimization

• Query tuning and indexing basics

Module 10: Practical Exercises and Project

• Real-world data analysis scenarios
• Building reports using SQL

Experience in the Industry Gain knowledge from experts with practical SQL for Data Analysis project experience in a variety of sectors.

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Clear & Effective Teaching Excellent communication and real-world examples simplify complex subjects.

Hands-On Learning Focus Students can apply their abilities in real-world situations with the use of case studies and real-time projects.

Up-to-Date Knowledge Trainers stay current with the latest tools, techniques and best practices.