π― SQL Intermediate Project Summary | Employee Attrition Analysis In this final project of my SQL Intermediate series, I analyzed employee attrition data using SQL to uncover valuable business insights. The project covers data exploration, filtering, aggregation, grouping, joins, subqueries, and advanced SQL techniques to identify factors influencing employee turnover. π Key Highlights: β Employee Attrition Analysis β Data Cleaning & Exploration β SQL Queries for Business Insights β Aggregate Functions & Grouping β Joins and Subqueries β Real-World Data Analytics Project β Data-Driven Decision Making π Tableau Dashboard: https://public.tableau.com/views/Attrition_17774811734890/Dashboard1 π SQL Project Files: https://github.com/athulyaesther777/PyAI_Hub/tree/main/SQL_Course/Level_2_Intermediate If you found this project helpful, don't forget to Like π, Share π, and Subscribe π for more SQL, Python, Data Analytics, and Data Science content. #SQL #SQLProject #DataAnalytics #EmployeeAttrition #DataScience #BusinessAnalytics #SQLTutorial #DataAnalysis #Tableau #Database #AnalyticsProject #Python #CareerInData #LearnSQL #DataAnalyst SQL Intermediate Project Employee Attrition Analysis SQL Project for Beginners SQL Data Analytics Project Data Analyst Portfolio Project SQL Tutorial Learn SQL SQL Queries SQL Interview Preparation Business Analytics Employee Attrition Dashboard Tableau Dashboard Data Science Project Data Analytics Portfolio Database Management SQL Joins SQL Subqueries Aggregate Functions SQL Real World SQL Project Data Analyst Project
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