Data Analysis and Visualization with Python

Arizona State builds analysis on basic programming operations. Lists, dictionaries and other sequences come before reading and writing files, then a module on analysis libraries. The roughly sixteen-hour syllabus offers a beginner route with explicit mathematical foundations.

What you will learn

• Choose Python sequence structures for a data task.
• Read and write information through files.
• Use Python libraries to manipulate and present data.

Who this suits

Beginners with basic algebra, statistics and an understanding of how a computer works.

Before you enroll

Those foundations are stated prerequisites. Review the opening programming work if you have mainly used spreadsheet interfaces.

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Put it into practice

Read a small public data file into Python and produce one visual summary. Explain the sequence structure used and show how a malformed row is handled.

Source and review

This overview is based on the provider's published information, checked on 12 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

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