Conducting Exploratory Data Analysis

Offered By
In this Guided Project, you will:
1.5 hours
Intermediate
No download needed
Split-screen video
English
Desktop only

Conduct exploratory data analysis with a systematic approach to investigate different aspects of your data: comparisons, relationships, compositions, and distributions. This guided project gives you a framework so you can conduct your own exploratory data analysis and make your work more professional and organized. The language is Python and the libraries used are seaborn, pandas, and matplotlib.

Skills you will develop

  • Seaborn

  • Data Analysis

  • Data Visualization (DataViz)

  • Matplotlib

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:

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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