“Without data analysis, I wouldn’t have been a good opener.”
– Rohit Sharma
Data plays a crucial role in modern cricket, influencing strategies, player performance, and match outcomes. In this project, we apply the same approach to analyze IPL 2026 ball-by-ball data.
This video is designed to help you learn Pandas and Matplotlib through a practical, real-world dataset, enabling you to build strong data analysis skills while working on a meaningful use case.
Timestamp
Intro (00:00–3:00)
Project Setup (3:25–5:04)
Data Loading & Exploration (6:01–12:47)
Basic Statistics (12:47–15:21)
Feature Engineering (15:22–24:05)
Team Performance (1:01:20–1:09:30)
Batsman Analysis (1:09:44–1:15:28)
Bowler Analysis (1:30:36–1:40:50)
Dismissal Patterns (1:40:55–1:42:56)
Summary & Insights (1:59:14–2:06:07)
In this project, you will learn:
Data exploration and manipulation using Pandas
Deriving match and player-level insights
Creating clear and impactful visualizations using Matplotlib
Understanding how data-driven decisions are made in real scenarios
📁 Dataset & Notes:
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https://arbrecreations-my.sharepoint.com/:f:/g/personal/abhishekm_arbre_in/IgBPwKnf84BIQLrzBHnZMwwoAY_iKoohBffKMCvdPhEwUAs?e=ccBSdm
This project is ideal for anyone looking to develop a strong foundation in Data Analytics by working with real-world data.
Consistent practice with such projects will help you transition from learning concepts to applying them effectively.
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