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REAL WORLD SQL PROJECTS & INTERVIEW SERIES
Rating: 4.3 out of 5(29 ratings)
3,006 students

REAL WORLD SQL PROJECTS & INTERVIEW SERIES

REAL WORLD SQL PROJECTS & INTERVIEW SERIES
Last updated 5/2025
English

What you'll learn

  • REAL TIME SQL PROJECT
  • SQL CONCEPTS
  • ADVANCED SQL CONCEPTS
  • PRACTICAL APPROACH

Course content

2 sections12 lectures3h 19m total length
  • REAL TIME PROJECT IN SQL_PROJECT - 1- PART_126:07
  • REAL TIME PROJECT IN SQL_PROJECT - 1 - PART_221:38
  • REAL TIME PROJECT IN SQL_PROJECT - 2 - BASIC STORED PROCEDURES WITH JOINS26:23
  • REAL TIME PROJECT IN SQL_PROJECT - 3_PART-118:24
  • REAL TIME PROJECT IN SQL_PROJECT - 3_PART-218:46
  • REAL TIME PROJECT IN SQL_PROJECT-4_DATA CLEANING PROJECT IN SQL19:54

Requirements

  • BASIC SQL KNOWLEDGE

Description

An SQL project typically involves creating or working with a database using SQL (Structured Query Language). Here’s a breakdown of what an SQL project might entail:

1. Project Scope:

  • Objective: Define what you want to achieve with your SQL project. This could be anything from creating a new database to analyzing existing data.

  • Requirements: Identify the specific requirements or goals. For example, are you building a database for a new application, or are you analyzing data for insights?

2. Database Design:

  • Schema Design: Create a schema that defines how data will be structured. This includes designing tables, defining relationships, and choosing appropriate data types.

  • Normalization: Ensure your database design is normalized to eliminate redundancy and ensure data integrity.

3. SQL Queries:

  • CRUD Operations: Implement basic SQL queries for Create, Read, Update, and Delete operations.

  • Complex Queries: Write more complex queries involving joins, subqueries, and aggregations to analyze and manipulate the data.

4. Implementation:

  • Database Creation: Use SQL statements to create the database schema and tables.

  • Data Insertion: Populate your database with sample or real data using INSERT statements.

5. Testing:

  • Query Testing: Test your SQL queries to ensure they return the expected results.

  • Performance Testing: Optimize queries for performance if working with large datasets.

6. Documentation:

  • Project Documentation: Document your database design, queries, and any specific features or constraints.

  • User Guide: Create a guide for users on how to interact with the database or how to run specific queries.

7. Deployment:

  • Deployment Strategy: Plan how you will deploy the database in a production environment, if applicable.

  • Backup and Recovery: Implement strategies for data backup and recovery.

8. Presentation:

  • Report: Prepare a report or presentation summarizing your project, including objectives, design decisions, and outcomes.

In some videos I have used Hindi as well. So this course will be in Hindi and English Mixed language.

Will be adding more videos very soon...

Who this course is for:

  • DATA ASPIRANTS