SQL Programming for Data Analytics

The SQL for Data Analytics course is designed to equip learners with the essential skills needed to work confidently with data stored in relational databases. SQL (Structured Query Language) is the foundation of data analytics, enabling professionals to extract, clean, and analyze data efficiently. In this course, you will learn how to: Write powerful queries to filter, sort, and summarize data. Combine data from multiple tables using joins and subqueries. Perform advanced analytics with window functions and CTEs. Clean and prepare raw data for analysis. Optimize queries for performance and scalability. Integrate SQL with analytics and visualization tools. The course follows a hands-on, practice-driven approach with real-world datasets from business, finance, and retail domains. By the end, learners will be able to transform raw data into actionable insights and support data-driven decision-making using SQL. This course is ideal for: Students aspiring to build a career in data analytics. Working professionals seeking to enhance their SQL skills. Anyone looking to strengthen their ability to work with large datasets.