SQL & Snowflake – Complete Data Analytics & Data Warehousing Course

This comprehensive SQL and Snowflake course is designed for beginners, students, working professionals, aspiring Data Analysts, Business Analysts, Data Engineers and professionals looking to build practical skills in cloud data warehousing and analytics.

The course starts with SQL fundamentals and gradually progresses to advanced SQL concepts. Students will learn how to retrieve, filter, sort and aggregate data and work with multiple tables using different types of joins. The course also covers subqueries, Common Table Expressions (CTEs), CASE statements, date and string functions, views, stored procedures and advanced analytical queries.

The Snowflake module introduces students to modern cloud data warehousing concepts and the Snowflake platform. Students will understand Snowflake architecture, databases, schemas, tables, virtual warehouses, roles, users, stages and different approaches for loading and managing data.

Students will also learn how SQL is used within Snowflake for data transformation and analytics. Practical topics include creating tables, loading CSV data, working with semi-structured data, data transformation, views, performance optimization and efficient query development.

The training is highly practical and focuses on real-world business scenarios rather than only theoretical concepts. Students will work with datasets and exercises to build confidence in writing SQL queries and developing Snowflake-based data solutions.

Prerequisites: No prior SQL or Snowflake experience is required. Basic computer knowledge and an interest in data analytics are sufficient.

What students need: A laptop/desktop and internet connection. Students will be guided through the required SQL and Snowflake environment setup during the course.