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 EDA, its various types, and advantages while gaining hands-on experience with Python programming. Dive into multivariate analysis, box plots, and data preprocessing techniques. Engage with fun questions, work with real-world datasets, and utilize Google Colab for a comprehensive learning experience. Discover how to extract valuable insights from data and apply these skills to solve practical problems across various industries.
IPL Data Analysis Using EDA - Exploratory Data Analysis Case Study
Overview
Syllabus
Introduction
Agenda
Exploratory Data Analysis
Why EDA is important
Types of exploratory data analysis
Examples of exploratory data analysis
Multivariate analysis
Box plots
Advantages of EDA
Welcome
Questions
Data Sets
Fun Questions
Google Collab
Getting Started
Error
Data Analysis
Data Preprocessing
More Fun Questions
Conclusion
Taught by
Great Learning
