End-to-end sports data analytics project for your resume. In this project, we will cover web scraping (from the ESPN Cricinfo website), python, pandas, and Power BI to perform analyses on T20 world cup cricket data.

*Note* : The Bright Data interface has been updated as part of their product enhancement. To access the Datasets & Web Scraper IDE, please select the third icon from the left-side menu bar. Then, click on the *'My Scrapers'* option. There, you will find the collectors. From this point, you can proceed with the same process as shown in the video.

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Code & other files can be downloaded from here: [ Ссылка ]

Bright Data error guide: [ Ссылка ]

⭐️ Timestamps ⭐️
00:00:00 Overview
00:00:29 Problem statement
00:02:33 Requirement scoping
00:09:21 Data collection using web scraping (from ESPN Cricinfo website)
00:21:57 Data cleaning and transformation in Python Pandas
00:44:01 Data transformation in Power Query
00:56:52 Data modeling and building parameters using DAX
01:08:17 Build dashboard in Power BI
01:20:53 Collect insights from the dashboard and select the final 11 players
01:38:04 Challenge for you and prize

In this end-to-end data analytics project for beginners and advanced users, we have used cricket T20 world cup (2022) data to build insights on a best 11 players team that we can assemble from the earth that can go and play with aliens. We used bright data web scraping to collect data from espncricinfo website then we performed some data transformation and cleaning in pandas, followed by building dashboards in power bi. This is a solid data science resume project that will make your resume stand out in the competition. It is a fully guided data analytics project with all the materials included.

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