Natural Language Processing
Turn text into actionable data with practical NLP skills
Natural Language Processing (NLP) is the field that enables computers to interpret, generate, and analyze human language by converting text and speech into structured data.
For learners, practical NLP study emphasizes measurable skills like text preprocessing, familiarization with language-model types, and implementing topic modeling to extract themes from corpora. Short, project‑oriented exercises and tool‑focused workflows reinforce these competencies and prepare learners to apply NLP techniques in real‑world tasks.
At a Glance
Getting Started with Natural Language Processing is an introductory course that explains how computers represent and work with human language, emphasizing hands-on translation between text and data.
Offered by Codecademy, it introduces core techniques such as text preprocessing, basic language models, and topic modeling through practical exercises and guided feedback.
| Level | Beginner |
| Rating | 4.3 out of 5 |
| Duration | 1+ hour |
| Languages | English |
| Learners | 10K+ learners |
| Certificate | Certificate of completion (paid tiers) |
| Access | Access for as long as your subscription is active |
| Course includes |
|
| Price | Subscription-based; included with paid plans (certificate on paid tiers) |
What This Course Teaches
The course frames outcomes as measurable competencies you can demonstrate: processing raw text, recognizing and explaining model types, and extracting themes from documents through applied techniques.
By the end of the course, learners should be able to apply preprocessing steps, explain different language-model categories, and implement topic-modeling methods on example datasets.
How the Course Is Structured
The course is organized into 3 modules and combines a core lesson, an assigned external reading, and a concluding quiz; the platform lists an overall completion time of about 1 hour for the full sequence.
The short, modular structure is paced for beginners and intended to be finished in a single focused session.
Curriculum overview
01 Getting Started with Natural Language Processing ▾
Introduces core NLP concepts and explains how text is represented and processed as data, with guided examples.
02 Algorithms of Oppression: How Search Engines Reinforce Racism ▾
Assigned external reading that highlights social and ethical considerations in language systems and search algorithms.
03 Getting Started with Natural Language Processing Quiz ▾
A short assessment to check comprehension of the course’s main concepts and techniques.
- Getting Started with Natural Language Processing Quiz
Audience & Requirements
This beginner-friendly course is aimed at learners who want a practical introduction to how computers represent and act on human language, including students, data enthusiasts, and professionals exploring applied NLP use cases. It is designed as a short, hands-on overview rather than a deep, mathematical treatment of language models.
- Beginners exploring NLP concepts and practical workflows.
- Data enthusiasts who want to add basic text-analysis skills.
- Professionals seeking to understand NLP tools for applied projects.
- Learners interested in ethical and social implications of language systems.
- No special prerequisites; the course is listed as beginner-friendly.
- Codecademy account (free or paid) to access the course content.
- Willingness to complete short quizzes, an external reading, and guided exercises.
Final Verdict
This concise, practical introduction is worth taking for beginners and professionals who need a clear, low‑risk way to learn core NLP techniques and decide whether to pursue deeper study.
The course delivers solid value given its positive reviews and wide learner adoption, and the platform’s subscription model plus an optional paid certificate make it a convenient stepping stone; however, those seeking advanced, research‑level training should choose a more comprehensive program.
Pluralsight