Exploring and Analyzing Fifa's Datasets Using Python

提供方
Coursera Project Network
在此指导项目中,您将:

Prepare a dataset for analysis

Analyze the dataset to gain useful insights

Clock1 Hour 30 Minutes
Beginner初级
Cloud无需下载
Video分屏视频
Comment Dots英语(English)
Laptop仅限桌面

In this 1-hour long project-based course, you will learn how to load a dataset into a pandas dataframe, you will learn how to tidy a messy dataset (Data Tidying), you will get to also visualize the dataset using Matplotlib and seaborn, you will learn how to engineer new features, you will also get to learn how to merge datasets (Data Integration) By the end of this project, you will be able to fully analyze a FIFA dataset using python’s Pandas library. Throughout the tasks you will be able to identify and apply the key aspects about data analysis such as Data Cleaning, Data transformation, Data Visualization , Data tidying and feature engineering. All these skills are crucial to the world of data engineering and are very beneficial in today’s job market that is leaning more and more towards utilizing data in every way Note: This course 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

  • Information Engineering
  • Data Analysis
  • Pandas
  • Data Visualization (DataViz)
  • Data Tidying

分步进行学习

在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:

  1. Load the Datasets

  2. Tidy the Dataset

  3. Visualize the Dataset

  4. Engineer Features

  5. Merges the Datasets

  6. Create a Radar Plot

指导项目工作原理

您的工作空间就是浏览器中的云桌面,无需下载

在分屏视频中,您的授课教师会为您提供分步指导

常见问题

常见问题

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