Conducting Exploratory Data Analysis

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Course Overview

What You'll Learn

  • 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.

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.

Course FAQs

Is this an accredited online course?

Accreditation for 'Conducting Exploratory Data Analysis' is determined by the provider, Coursera Project Network. For online college courses or degree programs, we strongly recommend you verify the accreditation status directly on the provider's website to ensure it meets your requirements.

Can this course be used for continuing education credits?

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How do I enroll in this online school program?

To enroll, click the 'ENROLL NOW' button on this page. You will be taken to the official page for 'Conducting Exploratory Data Analysis' on the Coursera Project Network online class platform, where you can complete your registration.