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Industry
sports
Skills
approach
data-understanding
data-modelling
quality
Tools
excel
sql
python
power-bi
Learning Objectives
Create an interactive dashboard to visualize key performance metrics and team strategies.
Build and implement data-driven strategies for player selection and match planning.
Learn to clean and process large datasets for actionable insights.
Develop skills in data modeling and analysis specific to sports data.
Overview
This project focuses on leveraging data science to help the Indian Premier League (IPL) teams make informed decisions on player selection and game strategies. As a Data Analyst hired by the team, learners will work with a dataset to answer key questions regarding player performance, team dynamics, and match strategies. The goal is to clean, process, and analyze data to build actionable insights that will guide decisions on batting line-ups, bowling strategies, and match tactics, ultimately helping the team create the best possible lineup and improve their chances of winning.
Prerequisites
- Basic understanding of cricket, IPL data, and sports analytics.
- Familiarity with SQL for querying and manipulating data.
- Knowledge of Python for data wrangling and visualization tasks.
- Experience with data visualization tools to present insights clearly.