SQL & ORACLE FOR DATA SCIENCE: FROM DATA STORAGE TO INSIGHT 🎯 Course Objective: To equip participants with practical skills in using SQL and Oracle databases to store, query, clean, and manage data for data science and analytics tasks. 🧑‍💻 Who This Training Is For: • Beginners in data science or data analysis • IT professionals transitioning to data roles • Students and recent graduates in computer science, statistics, or business • Anyone interested in enterprise data management 📚 What You Will Learn: Module 1: Introduction to Databases & SQL • What is a database? • What is SQL? • Basic SQL syntax and commands Module 2: Working with Oracle Database • Introduction to Oracle RDBMS • Setting up Oracle environment • PL/SQL basics Module 3: Querying & Managing Data • SELECT, WHERE, GROUP BY, ORDER BY • JOINS, Subqueries, and Views • INSERT, UPDATE, DELETE operations Module 4: Data Cleaning & Transformation • Handling missing or inconsistent data • Data types and conversions • Aggregation and summarization Module 5: Integration with Data Science Tools • Exporting data for analysis • Connecting Oracle to Python or R • Real-world data projects 🛠️ Tools & Platforms Used • Oracle Database (local setup) • Oracle SQL Developer • Sample business datasets 🕒 Duration: • 6 weeks (2–3 sessions per week, each 1.5–2 hours) 📜 Certificate: Participants will receive a certificate of completion after successfully finishing the course and final project. 🌐 Mode of Delivery: • This training will be conducted online via Zoom (link to be shared with registered participants).