Complete IPL Data Analysis Case Study with SQL | SQL Tutorial for Beginners to Advanced скачать в хорошем качестве

Complete IPL Data Analysis Case Study with SQL | SQL Tutorial for Beginners to Advanced

Complete IPL Data Analysis Case Study with SQL | SQL Tutorial for Beginners to Advanced ‪@iThinkData‬ Find the detailed solution queries and the dataset with the link : https://github.com/vaibhavchavan20/IP... In this comprehensive IPL Data Analysis project, I take you through a step-by-step breakdown of analyzing real-world IPL cricket data using SQL. Whether you're a cricket lover or an aspiring data analyst, this case study will help you uncover hidden insights from the IPL dataset. Throughout this tutorial, you will learn how to use SQL to perform powerful data queries and generate in-depth insights on player and team performances, all while enhancing your data analysis skills. 🎯 Key Topics Covered: 1. Match and Player Performance Analysis Analyze how players and teams performed across different IPL seasons, including key batting and bowling metrics. 2. Batting Insights Identify the top 3 finishers in each IPL final based on runs scored in death overs. Find all players who got out in the 90s and explore their dismissal patterns. 3. Bowling Insights Discover bowlers who successfully defended low scores (6 or fewer runs) in the final over of a match. Identify bowlers with the most 4- and 5-wicket hauls in IPL history. Analyze bowlers with the most wickets in death overs across multiple seasons. 4. Team-Wise & Season-Wise Performance Trends Deep dive into team performance across different seasons, tracking wins, losses, and standout performances. 🚀 What You’ll Learn: Writing advanced SQL queries (CTEs, JOINS, AGGREGATIONS). Data analysis techniques to extract meaningful cricket insights. Practical SQL skills applied to real-world datasets. How to analyze player statistics, team performance, and match highlights. 📁 Dataset Used: IPL Matches and Deliveries Data Refer the dataset here https://github.com/vaibhavchavan20/IP... This project is perfect for beginners learning SQL or data analysis, as well as advanced users looking to enhance their skills with a practical case study based on real sports data. Whether you’re prepping for an interview or working on a portfolio project, this tutorial has something for everyone! 🔍 Key Skills Covered: SQL Query Writing Common Table Expressions (CTEs) Analytical SQL Functions (ROW_NUMBER, COUNT) Advanced Data Aggregation Techniques Real-World Cricket Data Analysis 🛠 Tools Used: SQL (Structured Query Language) IPL dataset for analysis 👨‍💻 Who is this for? Data Analysts Data Science Enthusiasts Cricket Fans who love to dive into stats SQL Beginners & Advanced Learners 🌟 Stay Connected with iThinkData ! 🌟 🚀 Follow me everywhere for more insights, tutorials, and data related tips, interview tips: 👨‍💼 LinkedIn:   / vaibhav-chavan   📊 Let’s connect professionally and build a powerful data-driven network! 💼🌐 💬 Join My WhatsApp Channel: https://whatsapp.com/channel/0029Vaoi... 📱 Be the first to get exclusive content, project updates, and new videos! 🚀📊 💻 GitHub: https://github.com/vaibhavchavan20 💡 Check out my code, projects, and collaborate on data science & analytics solutions! 💻🔍 🎥 Subscribe to iThinkData:    / @ithinkdata   🔔 Don't miss out on weekly data challenges, tutorials, and expert insights! 💡📈 f you found this helpful, don’t forget to like, comment, and share! 🚀 Stay tuned for more case studies and solutions in this series. #SQLChallenge #SQLTutorial #DannyMaSQL #DataAnalytics #SQLBeginners #DannyMa8WeekSQLChallenge #SQLCaseStudy #DannyDinerSQL #iThinkData #IPLAnalysis #sqlproject #powerbitutorial #datavisualization Don’t forget to like, share, and subscribe to support the channel and stay updated on more exciting data analysis content!