FIFA20 Data Exploration using Python

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在此指导项目中,您将:
100 Minutes
初级
无需下载
分屏视频
英语(English)
仅限桌面

By the end of this project, you will learn to use data Exploration techniques in order to uncover some initial patterns, insights and interesting points in your dataset. We are going to use a dataset consisting 5 CSV files, consisting of the data related to players in FIFA video game. We will clean and prepare it by dropping useless columns, calculating new features for our dataset and filling up the null values properly. and then we will start our exploration and we'll do some visualizations. Note: This project works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

您要培养的技能

  • Data Pre-Processing

  • Plotly

  • Pandas

  • Data Visualization (DataViz)

  • Exploratory Data Analysis

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