🚀Here I am sharing the SQL roadmap that I used when I was learning SQL🎯Explore the complete PL/SQL course for FREE on my website at https://www.rebellionrider.com/category/pl-sql/ ============ Watch how to configure Oracle on VS Code https://youtu.be/6mwAx4sGhwk ============ The camera gear I use in my Videos https://www.amazon.in/shop/manishsharma?listId=DU9UM0XL97KM&ref=idea_share_inf ============ Connect With Me on My Social Media https://www.instagram.com/RebellionRider/ https://www.facebook.com/TheRebellionRider/ https://twitter.com/RebellionRider https://www.linkedin.com/in/mannbhardwaj/ ============ FAQ Which book to refer to learn - PL/SQL https://amzn.to/2QE1jX0 Performance Tuning https://amzn.to/2sgiAw4 1z0-071 Exam https://amzn.to/2sgfeJw Python Programming https://amzn.to/305UEbh ============ AFFILIATE DISCLOSURE: Some of the links used in the description will direct you to Amazon.in. As an Amazon Associate, I earn from qualifying purchases at no additional cost to you. #rebellionrider ============= Let's be honest, I dove into SQL thinking it was this mythical beast that only coding wizards could tame. But guess what? It turned out to be a superpower anyone can unlock – and believe me, This SQL Roadmap is FREAKING VALUABLE! Now, the big question: how long does it take to learn? The truth is, it depends on your background and goals. Here's a roadmap to get you started: • SQL Basics (1-2 weeks): Grasp the core concepts like creating tables, querying data, and using filters. This is your foundation! • Intermediate SQL (2-4 weeks): Dive deeper into joins, functions, and data manipulation. Here's where the magic starts to happen! • • Advanced SQL (Varies): Master window functions, stored procedures, and complex queries. This is where you become a data rockstar! Remember, this is just a general guide. The key is to practice consistently. Here is the road map that I used for learn SQL. Basic (2-3 Weeks): • Fundamentals: o Introduction to Databases and SQL o Data Types (e.g., integer, string, date) o Understanding Relational Databases (tables, columns, rows) o The Data Manipulation Language (DML): SELECT statements (retrieving data) WHERE clause (filtering data) ORDER BY clause (sorting data) LIMIT clause (specifying results) • Working with Data: o INSERT statements (adding data) o UPDATE statements (modifying data) o DELETE statements (removing data) Intermediate (2-4 Weeks): • Building Queries: o JOINs (connecting tables): INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN o Subqueries (queries within queries) o Filtering with advanced WHERE clauses (operators, functions) o GROUP BY clause (aggregating data) o Aggregate Functions (COUNT, SUM, AVG, MIN, MAX) o HAVING clause (filtering grouped data) • Data Management: o Creating and altering tables o Data types and constraints o Working with Views (virtual tables) Advanced : Performance Optimization: Indexing strategies Query optimization techniques Understanding execution plans Advanced Features: Window functions (advanced aggregations) Stored procedures and functions User-Defined Functions (UDFs) Triggers (automated actions) Database Administration: Security and access control Backups and recovery Database administration tools 📺 Subscribe for more SQL tutorials and stay ahead in your tech journey! 🚀