IBM IBSC 2026-01-28 | Module 4 Live Session | SQL, Relational Databases, Joins & Querying Data скачать в хорошем качестве

IBM IBSC 2026-01-28 | Module 4 Live Session | SQL, Relational Databases, Joins & Querying Data

In this live session for Module 4, we introduce the foundations of relational databases and SQL, one of the most important tools in the data science workflow. This week focuses on how structured data is stored, queried, and managed inside database systems. We explore how SQL allows data scientists to efficiently retrieve and analyze information stored across multiple related tables. In this session we cover: • What databases are and why they act as the source of truth for organizations • Database Management Systems (SQLite, PostgreSQL, MySQL) • Relational database design and table normalization • Primary keys and foreign keys • Referential integrity and why relationships between tables matter • SQL as a declarative language vs procedural programming • CRUD operations (Create, Read, Update, Delete) • The ACID properties of databases • Writing SQL queries using SELECT, JOIN, GROUP BY, ORDER BY, and LIMIT • Understanding LEFT JOIN vs INNER JOIN • Using subqueries and common table expressions (CTEs) • Integrating SQL with Python, SQLite, and Pandas The big idea: Data scientists rarely work with isolated CSV files. Most real-world data lives inside relational databases, and SQL is the language that allows us to explore, filter, and combine that data efficiently. All notebooks and live session materials for this bootcamp are available here: https://github.com/ABoothInTheWild/ibm_dat... #DataScience #SQL #Databases #Python #Pandas #DataEngineering #Analytics #IBMBootcamp