Power Bi Project | IPL Data Analysis | Web Scrapping | Part 2

In this video, we move to Part 2 of the IPL Data Analysis Project, where we focus on data scraping and data preparation for Power BI dashboards.

You’ll learn how to collect IPL data using Python and export it into CSV format, which will be used in upcoming Power BI visualizations and dashboards.

🔍 What’s covered in this video:
• Introduction to IPL data sources
• Data scraping using Python
• Understanding raw data
• Exporting data to CSV
• Preparing data for Power BI analysis

📁 GitHub Repository (Code + CSV Files):
👉https://github.com/dipakwaghmode007/IPL_DataAnalysis_PowerBI_Project

💡 Who should watch this video?
• Power BI beginners
• Data Analysts & Aspiring Data Scientists
• Anyone interested in real-world IPL data analysis
• Learners who want hands-on Power BI projects

📌 Previous Video (Part 1 – Introduction):
Introduction to IPL Data Analysis Project

🚀 Upcoming Videos in this Playlist:
• Data Cleaning & Transformation
• Power BI Data Modeling
• DAX Measures & KPIs
• Interactive IPL Dashboards

🔔 If you’re serious about learning Power BI, make sure to Like, Share & Subscribe to the channel for the complete IPL analytics series.

📩 For queries, feedback, or collaboration:
dipakwaghmode310303@gmail.com

Видео Power Bi Project | IPL Data Analysis | Web Scrapping | Part 2 канала Data With Dipak