探索性数据分析

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Coursera Project Network
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在此指導 項目中,您將:

Understand the concept of Exploratory Data Analysis

Create visual methods to analyze the data

Analyze trends, patterns, relationships in the data

Clock2 hours
Intermediate中級
Cloud無需下載
Video分屏視頻
Comment Dots英語(English)
Laptop僅限桌面

In this 1-hour long project-based course, you will learn exploratory data analysis techniques and create visual methods to analyze trends, patterns, and relationships in the data. By the end of this project, you will have applied EDA on a real-world dataset. This class is for learners who want to use Python for applying data visualization and data analysis, and for learners who are currently taking a basic machine learning course or have already finished a machine learning course and are searching for a practical data visualization and analysis project course. Also, this project provides learners with basic knowledge about exploratory analysis and improves their skills in creating maps which helps them in fulfilling their career goals by adding this project to their portfolios.

您要培養的技能

Python ProgrammingExploratory Data AnalysisEDA

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:

  1. Define exploratory data analysis with an overview of the whole project

  2. Import libraries and exploring the dataset

  3. Check missing values and outliers

  4. Create visual methods to analyze the data

  5. Analyze trends, patterns, and relationships in the data

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

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