Explore the world of data analysis through a practical case study on Indian Premier League (IPL) data using Exploratory Data Analysis (EDA). Learn the importance of data analysis, its process, types of EDA, and how to handle outliers. Dive into a hands-on demonstration using Python to import libraries, analyze IPL statistics, and create visually appealing plots. Discover insights on maximum wickets, highest wins, and toss decisions. Gain valuable skills in data-driven decision-making applicable across various sectors and functions, setting the foundation for a career in data science, big data analytics, and machine learning.
IPL Data Analysis Using EDA - EDA Case Study - What Is EDA? - Great Learning
Overview
Syllabus
Introduction
Agenda
EDA Introduction
Data Analysis Process
Why is EDA Important
Types of EDA
Examples of EDA
Outliers
Advantages
Data Set
Demo
Importing Libraries
Data Analysis
Statistics
Questions
Maximum wickets
Plotting beautiful looking things
Highest Wins
Toss Decision
Taught by
Great Learning
