SQL for Data Analytics 📊

Welcome to the comprehensive guide on using SQL for data analytics. This series covers everything from the basics of data preparation to advanced techniques like cohort analysis and anomaly detection.

📖 Course Curriculum

⭐1. Introduction 🧹2. Preparing Your Data 📈3. Time Series Analysis 👥4. Cohort Analysis 📝5. Text Analysis 🚨6. Anomaly Detection 🧪7. Experiment Analysis ⚙️8. Building Complex Data Sets

What You'll Learn

Strategic Foundations: Understand where SQL fits in the modern data stack compared to Python/R.
Data Preparation: Master data cleaning, profiling, and reshaping techniques.
Advanced Analytics: Dive deep into time series, cohort behavior, and anomaly detection.
Experimental Rigor: Use SQL to analyze A/B tests and validate hypotheses.
Optimization: Learn best practices for code organization and complex multi-dimensional aggregation.