हिंदी में Complete SQL course- covering basic to advanced SQL topics for SQL Database (PostgreSQL) in Hindi
⏱️ Length: 7.1 total hours
⭐ 4.45/5 rating
👥 31,348 students
🔄 May 2025 update
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- Course Overview
- This comprehensive ‘Complete SQL’ course is meticulously designed to transform you from an absolute beginner into an advanced SQL practitioner, covering all essential concepts and techniques.
- Delve into the foundational principles of relational databases and how SQL serves as the universal language for data interaction.
- Explore the nuanced distinctions between various SQL commands and their optimal application for data retrieval, manipulation, and definition.
- The curriculum is structured to provide a deep dive into the intricacies of data modeling and efficient database schema design.
- Gain profound insights into advanced SQL constructs that enable complex data analysis and sophisticated reporting.
- Understand the importance of data integrity and consistency, learning how to implement robust solutions within a database environment.
- This course places a strong emphasis on practical application, ensuring you gain hands-on experience with real-world scenarios and datasets.
- All content is delivered in Hindi, making complex technical concepts easily digestible and accessible for a specific linguistic audience.
- With a focused duration of 7.1 hours, the course is engineered for maximum learning efficiency without compromising on depth.
- Reflecting a high standard of quality, the course boasts a 4.45/5 rating from a large community of over 31,000 satisfied learners.
- Regularly updated to incorporate the latest industry practices and features, with the most recent update in May 2025, ensuring relevance and modernity.
- Beyond syntax, cultivate a problem-solving mindset crucial for dissecting business requirements into actionable SQL queries.
- Learn to navigate and query the powerful PostgreSQL database system, a widely used open-source RDBMS in professional environments.
- Acquire the skills to build, maintain, and query robust databases, a critical asset in today’s data-driven world.
- Requirements / Prerequisites
- Absolutely no prior knowledge or experience with SQL or databases is necessary, as the course starts from the very basics.
- A fundamental understanding of how to operate a computer and navigate basic software applications is recommended.
- Access to a stable internet connection for streaming video lectures and downloading necessary software.
- A computer (Windows, macOS, or Linux) capable of running PostgreSQL and its associated tools.
- An eagerness to learn a powerful and in-demand programming language for data management.
- Comfort with following instructions and engaging with content delivered entirely in the Hindi language.
- Dedication to practice the concepts learned through provided exercises to solidify understanding.
- A curious mind eager to explore the world of data and its manipulation.
- Skills Covered / Tools Used
- Data Definition Language (DDL): Mastering commands like CREATE, ALTER, and DROP for databases, tables, and views.
- Data Manipulation Language (DML): Proficiently using INSERT, UPDATE, and DELETE statements to manage data within tables.
- Data Control Language (DCL): Understanding GRANT and REVOKE for managing user permissions and database security.
- Transaction Control Language (TCL): Implementing COMMIT, ROLLBACK, and SAVEPOINT to ensure data integrity during transactions.
- Advanced Filtering and Sorting: Utilizing complex WHERE clauses, ORDER BY with multiple columns, and LIMIT/OFFSET for pagination.
- Set Operations: Applying UNION, INTERSECT, and EXCEPT for combining or comparing result sets from multiple queries.
- Common Table Expressions (CTEs): Writing recursive and non-recursive CTEs for improved query readability and efficiency.
- Window Functions: Employing powerful analytical functions like ROW_NUMBER(), RANK(), LAG(), LEAD(), and aggregate functions over partitions.
- Subqueries in SELECT, FROM, and WHERE: Leveraging nested queries for complex data retrieval and conditional logic.
- Database Normalization: Understanding 1NF, 2NF, 3NF, and BCNF to design efficient and resilient database schemas.
- Indexing Strategies: Learning to create and manage various types of indexes to significantly boost query performance.
- Views: Creating virtual tables to simplify complex queries and manage access permissions.
- Stored Procedures and Functions: Developing reusable blocks of SQL code for automation and encapsulated logic.
- Triggers: Implementing automated actions in response to specific events on a table (e.g., INSERT, UPDATE, DELETE).
- PostgreSQL Database: Gaining hands-on expertise with installing, configuring, and interacting with PostgreSQL.
- pgAdmin 4: Becoming adept at using this intuitive graphical interface for PostgreSQL administration and development.
- Command-line SQL clients: Basic interaction with the database using psql or similar tools.
- Data Type Management: Working with diverse data types including numeric, string, date/time, boolean, and JSONB in PostgreSQL.
- Benefits / Outcomes
- Attain a deep, functional understanding of SQL that extends beyond basic querying to advanced data analysis and database management.
- Develop the capability to design, implement, and maintain robust relational database systems effectively.
- Be able to confidently tackle complex data extraction and transformation challenges using advanced SQL techniques.
- Position yourself for success in various data-centric roles such as Data Analyst, Business Intelligence Developer, Data Engineer, or Database Administrator.
- Enhance your professional efficiency by writing optimized, clear, and maintainable SQL code.
- Gain the foundational knowledge required to transition into advanced data science or machine learning roles.
- Master the art of debugging and troubleshooting SQL queries, leading to quicker problem resolution.
- Be proficient in working with PostgreSQL, a highly valued skill in today’s tech landscape.
- Build a solid portfolio of practical SQL projects that demonstrate your comprehensive skill set to potential employers.
- Improve your overall data literacy and analytical thinking, invaluable in any modern professional setting.
- Equip yourself with the expertise to confidently discuss database concepts and SQL queries in technical interviews and professional discussions.
- Contribute significantly to data-driven decision-making processes within any organization.
- Acquire a transferable skill that is applicable across numerous industries and database platforms.
- PROS
- Comprehensive Coverage: Spans from foundational concepts to advanced topics, ensuring a complete learning path for all skill levels.
- Practical Focus: Emphasizes hands-on application, allowing learners to immediately implement theoretical knowledge through guided examples and exercises.
- Industry-Relevant Database: Utilizes PostgreSQL, a powerful, open-source, and widely adopted relational database management system, providing marketable skills.
- Language Accessibility: Taught entirely in Hindi, making complex SQL concepts accessible and understandable to a specific demographic that prefers instruction in their native language.
- High Student Satisfaction: A 4.45/5 rating from over 31,000 students attests to the course’s quality, effectiveness, and positive learning experience.
- Efficient Learning Curve: At 7.1 hours, the course is designed to be concise yet thorough, optimizing knowledge transfer without unnecessary filler, respecting learners’ time.
- Up-to-Date Content: The May 2025 update ensures the curriculum reflects current best practices, latest SQL features, and evolving industry standards, keeping the content fresh and relevant.
- Career Enhancement: Directly prepares students for challenging BI job interviews, improves efficiency in existing data-centric roles, and opens doors to new career opportunities in data.
- Expert Instruction: Structured to foster deep understanding of SQL principles, not just rote memorization, encouraging critical thinking and problem-solving skills.
- Beginner-Friendly Start: Caters to absolute beginners with no prior SQL experience, building a strong foundation before progressing to advanced topics.
- CONS
- Language Specificity: Being taught exclusively in Hindi might limit its accessibility for learners who do not understand or prefer English for technical instruction.
Learning Tracks: Hindi,Development,Database Design & Development
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