FIFA20 Data Exploration using Python

4.6

51 個評分

提供方

2,076 人已註冊

在此指導項目中,您將:
100 Minutes
初級
無需下載
分屏視頻
英語(English)
僅限桌面

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.

您要培養的技能

  • Data Pre-Processing

  • Plotly

  • Pandas

  • Data Visualization (DataViz)

  • Exploratory Data Analysis

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

指導項目工作原理

您的工作空間就是瀏覽器中的雲桌面,無需下載

在分屏視頻中,您的授課教師會為您提供分步指導

審閱

來自FIFA20 DATA EXPLORATION USING PYTHON的熱門評論

查看所有評論

常見問題