π‘ Real-time data pipeline with Kafka, Flink, Iceberg, Trino, MinIO, and Superset. Ideal for learning data systems.
The Fifa-Dataset-SQL-Data-Analysis project uses SQL to explore FIFA player data, analyzing performance and attributes to extract meaningful insights on player statistics, trends, and patterns in football.
This repository helps you gain valuable insights from your sales data using SQL and RFM analysis and segment customers based on their RFM score and the churn rate.
Pizza Sales Report project, where we leverage SQL for data analysis and Power BI for creating interactive visualizations. This project provides in-depth insights into pizza sales data, including daily and monthly trends, sales by pizza category and size, and identifying top-selling pizzas based on revenue, quantity, and total orders.
π‘ Real-time data pipeline with Kafka, Flink, Iceberg, Trino, MinIO, and Superset. Ideal for learning data systems.
SQL project analyzing MLB schools, salaries, careers, and comparisons. Explores top schools, team spending, player career spans, team loyalty, batting hand trends, and decade-by-decade height/weight changes using advanced queries and analytics.
A collection of real-world SQL projects focused on business insights, data analysis, and advanced querying using MySQL.
Explore pizza sales trends via SQL analysis and dynamic Power BI dashboards. Discover daily/monthly insights, category-based sales, and top-selling pizzas by revenue and quantity.
Advanced MySQL to analyze marketing campaigns. Where our website traffic is coming from, how different sources perform in terms of traffic volume and conversion rates, and how we can adjust bids to optimize our budgets among other busyness request.
10 ad-hoc business requests solved using SQL queries for Consumer Goods (FMCG) domain. Includes query optimization, schema documentation, and actionable business insights
An example for analyzing time-event data
Explore and analyze data with this SQL-based project. Utilizing SQL queries, joins, aggregations, and subqueries, uncover valuable insights in the dataset. Access the SQL scripts for detailed analysis and insights extraction.
This project aims to create a comprehensive data analysis system based on the Wide World Importers (WWI) database.
PostgreSQL data pipeline for NFL play-by-play analytics with full ETL, schema design, and optimized SQL views.
Containing data analysis with SQL projects on various topic
π Analyze ad-hoc requests using SQL to deliver actionable business insights for AtliQ Hardware, enhancing decision-making in the FMCG sector.
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