Natural Language Processing and Capstone Assignment

UC Irvine places two NLP modules alongside a discussion of data science’s past, present and future. The course title identifies a capstone assignment, while the published module outline gives less detail about its exact deliverable. Preview that assignment when comparing project requirements.

What you will learn

• Study the course’s introductory NLP methods.
• Connect language-processing work with a data-science workflow.
• Assess a capstone task against its published requirements.

Who this suits

Intermediate learners; detailed prerequisites are not specified in the published course facts.

Before you enroll

Check the capstone brief, programming language and assessment rubric before enrolling. The module titles alone do not establish which language models or libraries the project will use.

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Put it into practice

Write a short project brief for a text-analysis problem. Specify the input, intended output and evaluation criteria before selecting a model or library.

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.

View the curriculum and current access options at Coursera.

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