Course for Data Engineering with SQL

• SQL Fundamentals: Introduction to databases, basic SQL queries, table management, joins, and data manipulation.
• Advanced SQL Queries: Aggregate functions, subqueries, window functions, date/time handling, and automating tasks with views, procedures, and triggers.
• Database Design & Optimization: Normalization, indexing, transaction control, query optimization, and partitioning.
• Big Data & Real-World Applications: Recursive queries, working with unstructured data (JSON, XML), data warehousing concepts, and automating workflows.
• Case Study & Final Project: Hands-on project design, writing optimized queries, applying best practices, and presenting the final project.

By the end of this course, students will have a strong foundation in SQL for data engineering, equipping them with essential skills for data science tasks and data-related job roles. They will be proficient in querying, transforming, and optimizing large datasets, ensuring efficient data retrieval and preparation for analysis and machine learning applications. This course will serve as a crucial stepping stone for careers in data engineering, data science, business intelligence, and analytics.

• SQL Server Management Studio
• MySQL or PostgreSQL

All required tools are free, and instructions for downloading and installing them will be provided at the start of the program.