SQL Projects

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About Course

In today’s data-driven world, SQL has become an indispensable tool for data analysts and scientists. Demonstrating proficiency in SQL through a robust project portfolio is essential for career advancement. By working on diverse SQL projects, you not only enhance your technical skills but also showcase your ability to derive meaningful insights from data.

 

What Will You Learn?

  • About the Dataset
  • The dataset consists of 11 columns, each column representing an attribute of purchase on a product -
  • Order ID - A unique ID for each order placed on a product
  • Product - Item that is purchased
  • Quantity Ordered - Describes how many of that products are ordered
  • Price Each - Price of a unit of that product
  • Order Date - Date on which the order is placed
  • Purchase Address - Address to where the order is shipped
  • Month, Sales, City, Hour - Extra attributes formed from the above.

Course Content

SQL Data Analytics Project
Purpose: Analyze sales data to identify trends, top-selling products, and revenue metrics for business decision-making. Description: In this project, you will dive into a large sales dataset to extract valuable insights. You will explore sales trends over time, identify the best-selling products, calculate revenue metrics such as total sales and profit margins, and create visualizations to present your findings effectively. This project showcases your ability to manipulate and derive insights from large datasets, enabling you to make data-driven recommendations for optimizing sales strategies. Additional Tools: Excel or data visualization tools like Tableau or Power BI can help you create visually appealing charts and graphs to present your findings effectively. Excel: Used for data manipulation, calculations, and basic visualizations. Data visualization tools like Tableau, Power BI, or Google Data Studio: Used for creating interactive and visually appealing dashboards and charts.

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