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Designing a Complete Sports Analytics Pipeline with IPL Data

4 Scenarios
3 Hours 10 Minutes
Intermediate
project poster
Industry
sports
Skills
approach
data-understanding
data-wrangling
data-visualization
Tools
excel
sql
python
power-bi

Learning Objectives

Clean and standardize real IPL datasets using Python and pandas
Design SQL staging tables and aggregation views for sports analytics
Build Power BI dashboards using SQL views as a semantic layer
Implement DAX measures with proper error handling and interaction control

Overview

Prerequisites

  • Basic understanding of cricket, IPL data, and sports analytics.
  • Familiarity with SQL for querying and manipulating data.
  • Local SQL database setup (SQL Server / PostgreSQL / MySQL)
  • Experience with data visualization tools like Power BI to present insights clearly.
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