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Olympics Data Analysis Using Python 2021 | Olympics Exploratory Data Analysis Tutorial | Simplilearn
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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.
➡️ About Post Graduate Program In Data Analytics
This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.
✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 8X higher live interaction in live online classes by industry experts
- Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Resume preparation and LinkedIn profile building
- 1:1 mock interview
- Career accelerator webinars
✅ Skills Covered
- Data Analytics
- Statistical Analysis using Excel
- Data Analysis Python and R
- Data Visualization Tableau and Power BI
- Linear and logistic regression modules
- Clustering using kmeans
- Supervised Learning
🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688
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