The Olympics Data Analysis Using Python 2021 video covers a brief history of the Olympic games and will make you understand how to analyze and visualize past Olympics data for drawing crucial insights. This Olympics Exploratory Data Analysis Tutorial video will help you learn how to use Python libraries and their associated functions for creating interesting visualizations and analyzing vast data. The datasets used in this video can be download from Kaggle: https://www.kaggle.com/heesoo37/120-years-of-olympic-history-athletes-and-results  

What is Data Analysis?
Data Analysis is the process of exploring and analyzing large datasets to find hidden patterns, unseen trends, discover correlations and valuable insights. Data Analytics and visualization can be used for Improved Decision Making, Better Customer Service, Efficient Operations as well as Effective Marketing. There are various steps involved in the data analytics process. Below are steps:
1. Understand the problem
2. Data Collection
3. Data Cleaning
4. Data Exploration and Analysis
5. Interpret the results

A Brief About the Olympic Games:
Olympics is one of the biggest sporting events featuring summer and winter sports competitions where thousands of athletes from around the world participate in a variety of competitions. More than 200 nations participate.The Olympic Games are usually held every four years, alternating between the Summer and Winter Olympics every two years in the four-year period. The International Olympic Committee (IOC) as formed in 1894 and the first modern Olympics was held in 1896.

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