Exploratory Data Analysis

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Coursera Project Network
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In this Guided Project, you will:

Understand the concept of Exploratory Data Analysis

Create visual methods to analyze the data

Analyze trends, patterns, relationships in the data

Clock2 hours
IntermediateIntermediate
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

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.

Skills you will develop

Python ProgrammingExploratory Data AnalysisEDA

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  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

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

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Frequently asked questions

Frequently Asked Questions

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