SQL Case Studies

This repository showcases various case studies demonstrating the application of SQL in different domains: Data Science Jobs, Google Play Store, Shark Tank India, Swiggy, and Industry-based Queries.

Data Science Jobs

This case study explores how SQL can be used to identify and analyze data related to data science jobs.

• Possible tasks:
  • Querying job boards for relevant positions
  • Filtering data by skills, experience, location, etc.
  • Analyzing salary trends and job descriptions
• Benefits:
  • Gain insights into the data science job market
  • Make informed career decisions

Google Play Store

This case study delves into how SQL can be leveraged to analyze data from the Google Play Store.

• Possible tasks:
  • Exploring app download statistics
  • Identifying user ratings and reviews
  • Analyzing app categories and trends
  • Performing sentiment analysis on reviews
• Benefits:
  • Understand user behavior and app performance
  • Develop data-driven app marketing strategies

Shark Tank India

This case study examines the role of data science in investment decisions within the context of Shark Tank India.

• Possible tasks:
  • Analyzing historical investment data
  • Identifying patterns in successful pitches
  • Building predictive models for investment outcomes
  • Creating visualizations for investors
• Benefits:
  • Make data-driven investment decisions
  • Increase the likelihood of successful investments

Swiggy

This case study investigates how SQL can be utilized to optimize delivery operations on the Swiggy platform.

• Possible tasks:
  • Analyzing delivery routes and times
  • Identifying areas with high order volume
  • Optimizing delivery logistics
  • Predicting customer demand
• Benefits:
  • Improve delivery efficiency and customer satisfaction
  • Reduce delivery costs

Industry-based Queries

This case study focuses on applying SQL to solve real-world problems across different industries.

• Possible tasks:
  • Data cleaning and deduplication
  • Performance analysis (sales, marketing, etc.)
  • Customer segmentation and targeting
  • Inventory management and stock control
  • Reporting and data visualization
• Benefits:
  • Enhance data quality and accessibility
  • Gain valuable insights for business decision-making

Additional Notes

• This repository contains the SQL scripts used in each case study (if applicable).
• Feel free to explore and adapt these examples to your specific data and needs.
• Consider including links to relevant resources for further learning on SQL and data science.

We hope this repository provides a valuable starting point for exploring the power of SQL in various domains!