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Complete SQL Full Course in Hindi - learn SQL from zero to advanced on SQL Server with real IPL cricket data. This free playlist by CodeWithMunnaX takes you step by step from "what is a database" to joins, window functions, CTEs, stored procedures, indexing and performance tuning, so you can work as a data analyst, data scientist or backend developer and crack SQL interviews. New videos are added regularly, so watch in order. 🗄️ Free SQL notes with a live SQL playground for every topic: https://codewithmunnax.com/notes/sql 🌐 All free courses and notes: https://codewithmunnax.com/courses 📖 FULL SYLLABUS - MODULE BY MODULE Module 1 - Intro to SQL: what SQL is and why learn it, database, DBMS and server, types of databases, database structure from server to table, tables, rows, columns and primary keys, data types, types of SQL commands and roadmap. Module 2 - Query Data (SELECT): parts of an SQL query, SELECT, FROM and column aliases, WHERE, ORDER BY, GROUP BY with aggregate functions, HAVING, DISTINCT, TOP and the logical execution order of a query. Module 3 - Data Definition (DDL): CREATE TABLE, constraints (PRIMARY KEY, NOT NULL, DEFAULT, UNIQUE, CHECK, FOREIGN KEY), ALTER TABLE, changing a data type, DROP TABLE and the life of a table. Module 4 - Data Manipulation (DML): INSERT one row and many rows, INSERT INTO SELECT, SELECT INTO, UPDATE, DELETE, DELETE vs TRUNCATE vs DROP and safe update and delete habits. Module 5 - Filtering Data: building conditions, comparison operators, AND, OR, NOT, precedence, BETWEEN, IN and NOT IN, LIKE and wildcards, IS NULL and IS NOT NULL. Module 6 - JOINs and SET operators: INNER, LEFT, RIGHT, FULL and CROSS JOIN, anti joins, joining multiple tables, UNION, UNION ALL, EXCEPT and INTERSECT. Module 7 - Row-Level Functions: string, numeric, date and time functions, formatting and casting, NULL handling with ISNULL, COALESCE and NULLIF, and the CASE statement. Module 8 - Aggregation and Window Functions: aggregate functions, GROUP BY, OVER, PARTITION BY, window frames, ROW_NUMBER, RANK, DENSE_RANK, NTILE, LAG, LEAD, FIRST_VALUE and LAST_VALUE. Module 9 - Advanced SQL Techniques: subqueries, correlated subqueries and EXISTS, CTEs and recursive CTEs, views, temporary tables, stored procedures and triggers. Module 10 - Performance Optimization: indexes, clustered vs non-clustered, rowstore vs columnstore, execution plans, indexing strategy and table partitioning. Module 11 - AI and SQL: use AI to write, clean, debug, explain and optimize SQL, and the golden rules of the AI plus SQL workflow. 🎯 WHAT YOU WILL ACHIEVE - Understand how databases and tables work - Write confident SQL queries on your own - Join multiple tables and summarise data - Use window functions, CTEs and subqueries like a professional - Understand indexes and make slow queries faster - Be ready for SQL interview questions and practical tests 🧠 HOW THIS COURSE IS TAUGHT - Hindi explanation in simple language - Real IPL cricket data, so every concept is easy to remember - Taught on SQL Server. The core SQL concepts are the same in other databases, so the skills transfer - Short reels for quick revision of key topics on the channel - Free notes and a live SQL playground to practice every topic 👥 WHO IS THIS COURSE FOR - Complete beginners with no coding background - Data analyst and data science students - BCA, MCA, B.Tech and graduation students - Python and web developers who want database skills - Anyone preparing for SQL interviews and placements ✅ HOW TO FOLLOW THE COURSE 1. Watch the videos in order, starting with the syllabus video. 2. Read the matching notes and practice in the live playground after every video. 3. Write your doubts in the comments, I reply to every one. 4. Revise with the short reels before interviews. ❓ FAQ Q: Is this SQL course free? A: Yes. All videos, notes and the live playground are free. Q: Do I need coding knowledge before starting? A: No. The course starts from zero. Q: Which database is used? A: SQL Server. The core SQL skills work with MySQL and PostgreSQL too. Q: How long will the course take? A: Follow one or two videos a day with practice and you can finish the basics in a few weeks. Q: In which language is the course? A: Hindi, with English technical terms. 📚 MORE FREE COURSES BY CODEWITHMUNNAX Python Full Course, Pandas, NumPy, Matplotlib, Seaborn, Python OOPs and Python File Handling are available on the channel and on https://codewithmunnax.com/courses 💬 Doubt? Comment on any video. Free doubt solving: https://codewithmunnax.com/contact 👍 Subscribe for new SQL and Python videos every week: https://www.youtube.com/@CodeWithMunnaX?sub_confirmation=1 🌐 Website: https://codewithmunnax.com 📸 Instagram: https://www.instagram.com/codewithmunnax 💼 LinkedIn: https://www.linkedin.com/in/munna-kumar-93234b241 💻 GitHub: https://github.com/CodeWithMunnaX
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SQL Full Course Syllabus in Hindi - this is the roadmap video of the free SQL Full Course by CodeWithMunnaX. See exactly what you will learn from zero to advanc...
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In this playlist, you will learn how to work with different types of files and understand how Python can read, create, write, update, append, and manage data. 📚 Topics Covered: 📖 Read Mode (r) ✍️ Write Mode (w) ➕ Append Mode (a) 🆕 Create Mode (x) 🔄 Read & Write Modes (r+, w+, a+) 📍 File Pointer, seek() & tell() 📄 Text & Binary Files 📊 CSV File Handling 🔗 JSON File Handling ⚠️ Exception Handling 💻 Practical File Handling Examples & Projects This playlist is perfect for Python beginners, BCA/B.Tech/MCA students, Data Science and AI/ML learners, backend developers, and anyone preparing for Python interviews File handling is an important Python concept because real-world applications need to read, create, write, update, append, and manage files and data. This playlist is designed for Python beginners, BCA/B.Tech/MCA students, Data Science learners, AI/ML beginners, Backend Developers, and anyone preparing for Python interviews. Why Learn File Handling? File handling is used in many real-world situations. For example: 📄 Reading configuration files 📊 Processing CSV datasets 🗂️ Managing application data 📝 Creating reports 📦 Processing JSON APIs 💾 Storing application information 🤖 Data Science & Machine Learning workflows ⚙️ Automation scripts 🖥️ Backend applications Learning file handling gives you a strong foundation for working with real-world data in Python. 🔔 Subscribe for More Tutorials If you are learning: 🐍 Python 📊 Data Science 🤖 AI/ML 🧠 Generative AI ⚙️ Backend Development 💻 Full Stack Development subscribe to the channel for more practical programming tutorials. 👍 Like the videos 💬 Ask your questions in the comments 🔔 Subscribe and turn on notifications for upcoming tutorials! Python file handling, Python file handling tutorial, Python file handling complete course, Python file handling for beginners, Python read file, Python write file, Python append file, Python file modes, Python read mode, Python write mode, Python append mode, Python create mode, Python open function, Python read(), Python readline(), Python readlines(), Python write(), Python writelines(), Python file pointer, Python seek(), Python tell(), Python CSV file handling, Python JSON file handling, Python text file handling, Python binary file handling, Python programming tutorial, Python beginner course, Python complete course, Python tutorial for beginners. #Python #PythonTutorial #PythonProgramming #FileHandling #PythonFileHandling #PythonForBeginners #Coding #Programming #DataScience #AI #MachineLearning #BackendDevelopment #PythonCourse #LearnPython
