Course Description

This comprehensive SQL course is designed to equip learners with the essential skills needed to analyze and manipulate data efficiently. Whether you're a beginner or looking to refine your SQL expertise for data analytics, this course covers everything from fundamental SQL queries to advanced functions and performance optimization.

By the end of this course, you'll confidently write complex SQL queries and extract meaningful insights from large datasets! 💡✨

🎯 Course Objectives

✅ Master SQL Basics & relational databases
✅ Retrieve & filter data using SELECT statements
✅ Sort, aggregate & group data efficiently
✅ Implement joins & subqueries for complex data manipulation
✅ Utilize window functions for advanced analytics
✅ Optimize query performance for handling large datasets
✅ Apply SQL techniques to real-world analytics scenarios

📚 Course Outline 📌 Module 1: Introduction to SQL & Databases

🔹 Overview of relational databases
🔹 SQL syntax & structure
🔹 Setting up a database environment & installing MySQL

📌 Module 2: Data Retrieval & Filtering

🔹 SELECT statements & column selection
🔹 Filtering data with the WHERE clause
🔹 Sorting results with ORDER BY
🔹 Using DISTINCT to remove duplicates

📌 Module 3: Aggregation & Grouping

🔹 COUNT, SUM, AVG, MIN, MAX functions
🔹 GROUP BY & HAVING clauses
🔹 Using aggregate functions in data analytics

📌 Module 4: Joins & Subqueries

🔹 Different types of joins – INNER, LEFT, RIGHT, FULL
🔹 Writing subqueries & nested queries
🔹 Using CTEs (Common Table Expressions) for improved readability

📌 Module 5: Advanced SQL Functions

🔹 Window functions – RANK, ROW_NUMBER, LAG, LEAD
🔹 String & Date functions for data transformation
🔹 CASE statements & conditional expressions

📌 Module 6: Performance Optimization

🔹 Indexing & query optimization techniques
🔹 Understanding execution plans
🔹 Best practices for writing efficient SQL queries

📌 Module 7: Real-World Data Analytics with SQL

🔹 Analyzing business data with SQL
🔹 Case studies & hands-on projects
🔹 Best practices in SQL for data analytics

🚀 Final Project

📊 Apply everything you've learned! Work on a real-world dataset, use SQL techniques to derive insights, optimize queries, and present findings!

🔍 Prerequisites

⚡ Basic understanding of data concepts (helpful but not required!)
⚡ No prior SQL experience needed!

🎓 Who Should Enroll?

✅ Aspiring Data Analysts & Data Scientists 📊
✅ Business Analysts & Decision-Makers 🏢
✅ Software Engineers & Developers 👨‍💻
✅ Anyone eager to leverage SQL for data-driven insights! 🔍

🚀 Enroll now & take your data analytics skills to the next level! 🎯💡