Advanced SQL Full Course 2025 | Advanced SQL Tutorial for Beginners | Advanced SQL | Simplilearn

🔥Post Graduate Program In Data Analytics: https://www.simplilearn.com/ihfc-iitd-data-analytics-genai-course?utm_campaign=FcwHVeIUQSk&utm_medium=Lives&utm_source=youtube 🔥IIT Kanpur Professional Certificate Course In Data Analytics (India Only): https://www.simplilearn.com/iitk-professional-certificate-course-data-analytics?utm_campaign=FcwHVeIUQSk&utm_medium=Lives&utm_source=youtube 🔥Data Analyst Masters Program (Discount Code - YTBE15): https://www.simplilearn.com/data-analyst-masters-certification-training-course?utm_campaign=FcwHVeIUQSk&utm_medium=Lives&utm_source=youtube In this advanced SQL Full Course 2025 by Simplilearn, we begin with the basics of SQL and DBMS concepts before moving into core SQL fundamentals. You’ll learn ER diagrams, different SQL command types, MySQL installation, built-in functions, GROUP BY, joins, and triggers. The course also covers advanced concepts like normalization, subqueries, table joins, views, PostgreSQL, and common table expressions (CTEs). To apply your learning, you’ll work on a SQL project for data analysis and extend into related areas like EDA with Python, AI-driven data analytics, and data cleaning in data mining. We’ll also explore how ChatGPT can integrate with Excel for analytics. Finally, the course concludes with the top 50 SQL interview questions to prepare you for job opportunities. Following are the topics covered in the SQL Full Course 2025 00:00:00 - Introduction to SQL Full Course 2025 00:02:54 - SQL Tutorial For Beginners 00:06:11 - What is DBMS 00:18:02 - SQL Fundamentals - What is ER Diagram? - Types of SQL commands - Installation of MySQL - MySQL Built-in Functions - Group By Function in SQL - Joins in SSQL - Triggers in SQL 02:44:27 - Normalization in SQL 02:54:23 - Subqueries in SQL 06:13:15 - Joining Tables 06:27:25 - Views in SQL 06:49:39 - PostgreSQL 08:21:48 - SQL CTE (Common Table Expressions) 08:33:43 - SQL Project for data analysis 09:37:02 - EDA with Python 10:26:03 - Data Analytics