Course Content
Introduction to SQL for Data Analysis
0/2
Overview of SQL and Relational Databases
Setting Up the Environment
SQL Basics and Data Retrieval
0/2
Basic SQL Queries
Working with Multiple Columns
Data Aggregation and Summarization
0/2
Using Aggregate Functions
Date and Time Functions
Advanced Filtering and Data Cleaning
0/2
Using Logical Operators
Cleaning and Formatting Data
Working with Joins and Subqueries
0/2
Understanding Joins
Subqueries and Common Table Expressions (CTEs)
Advanced SQL for Data Analysis
0/3
Window Functions
Pivoting and Unpivoting Data
Recursive Queries
Performance Optimization and Indexing
0/2
Query Performance Optimization
Working with Large Datasets
SQL for Business Intelligence and Reporting
0/2
Building Reports with SQL
Data Visualization Integration
Case Studies and Real-World Applications
0/3
Case Study 1: Sales and Revenue Analysis
Case Study 2: Customer Retention and Churn Analysis
Case Study 3: Fraud Detection
Final Capstone Project
SQL for Data Analysis
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