Apply Natural Language Processing with Python
Learn Python for Natural Language Processing, the field behind chatbots, search engines, and autocorrect.
Includes Machine Learning, Data Science, Python, Regular Expression, NLTK, spaCy, TensorFlow, scikit-learn, Genism, and more.
Skill level
IntermediateTime to complete
Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary10 hoursProjects
4Prerequisites
2 coursesWe suggest you complete the following courses before you get started with Apply Natural Language Processing with Python:- Getting Started with Python for Data Science
- Python for Data Science: Working with Data
About this skill path
Natural language processing (NLP) is all about how computers work with human language. From your virtual assistant recommending a restaurant to that terrible autocorrect you sent your cousin, the field is a rapidly growing presence in our lives. This Skill Path will get you started using Python to analyze and even generate text. Don’t just use NLP tools — make them!
Skills you'll gain
- Parse text with regular expressions
- Create computer models of text
- Generate text with deep learning
Syllabus
8 units • 8 lessons • 4 projects • 8 quizzes- 1
Welcome to the Natural Language Processing Skill Path
Your NLP journey starts here.
- 2
Getting Started with Natural Language Processing
Delve into the exciting world of Natural Language Processing (NLP) with this overview of major topics in the field.
- 3
Text Preprocessing
Get a taste of regular expressions (regex) and find out how to prepare your text data for most NLP tasks.
- 4
Language Parsing
Apply regular expressions (regex) and other natural language parsing tactics to find meaning and insights in the texts you read every day.
- 5
Language Quantification
Learn different ways to represent language numerically, including bag-of-words, tf-idf, and word embeddings.
- 6
Text Generation
Learn about seq2seq and LSTM neural networks commonly used in NLP work and how to implement them for machine translation.
- 7
NLP Portfolio Project
You’ve learned a lot and it’s time to show off your skills. Analyze text message data any way you like in this portfolio project.
Certificate of completion available with Plus or Pro
Earn a certificate of completion and showcase your accomplishment on your resume or LinkedIn.
Projects in this skill path
- practice Project
Discover Insights into Classic Texts
Perform a natural language parsing analysis with regular expressions to gain insights into Oscar Wilde's _The Picture of Dorian Gray_ or Homer's _The Iliad!_ - practice Project
Mystery Friend
Use scikit-learn's bag-of-words functions and Naive Bayes classifier to figure out which of your friends sent you an anonymous postcard! - practice Project
Read the News Analysis
In this project you will use tf-idf to analyze a collection of news articles.
Earn a certificate of completion
Show your network you've done the work by earning a certificate of completion for each course or path you finish.- Show proofReceive a certificate that demonstrates you've completed a course or path.
- Build a collectionThe more courses and paths you complete, the more certificates you collect.
- Share with your networkEasily add certificates of completion to your LinkedIn profile to share your accomplishments.
Reviews from learners
- The progress I have made since starting to use codecademy is immense! I can study for short periods or long periods at my own convenience - mostly late in the evenings.ChrisCodecademy Learner @ USA
- I felt like I learned months in a week. I love how Codecademy uses learning by practice and gives great challenges to help the learner to understand a new concept and subject.RodrigoCodecademy Learner @ UK
- Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.John-AndrewCodecademy Learner @ USA
Our learners work at
Skill paths help you level-up
Get a specialized skill
Want to level up at work? Gain a practical, real-world skill that you can use right away to stand out at your job.Get step-by-step guidance
We guide you through exactly where to start and what to learn next to build a new skill.Get there quickly
We’ve hand-picked the content in each Skill Path to fast-track your journey and help you gain a new skill in just a few months.
Ready to learn a new skill?
Get started on Apply Natural Language Processing with Python with a free Codecademy account.Looking for something else?
Related resources
- Article
Data Science Applications
Read about the different projects you can do with data science! - Article
Introduction to ChatGPT 5
Learn about ChatGPT 5, the most recent and groundbreaking language model from OpenAI. - Article
The Machine Learning Process: Look What Taylor Swift Made Me Do
Fun ML tutorial on Taylor Swift
Related courses and paths
- Skill path
Build Chatbots with Python
Build rules-based and generative AI chatbots with PythonIncludes 6 CoursesWith CertificateBeginner Friendly29 hours - Course
Text Preprocessing
Learn to clean text with Python 3 using regular expressions (regex) and NLTK.With CertificateIntermediate2 hours - Career path
Data Scientist: Natural Language Processing Specialist
NLP Data Scientists find meaning in language, analyze text and speech, and create chatbots. They use Python, SQL, & NLP to answer questions.Includes 31 CoursesWith CertificateBeginner Friendly100 hours
Browse more topics
- Python3,511,972 learners enrolled
- Data Science4,346,523 learners enrolled
- Machine Learning634,552 learners enrolled
- Code Foundations7,220,260 learners enrolled
- Computer Science5,673,263 learners enrolled
- Web Development4,830,679 learners enrolled
- For Business3,220,453 learners enrolled
- JavaScript2,802,809 learners enrolled
- Data Analytics2,338,786 learners enrolled
What's included in skill paths
Practice Projects
Guided projects that help you solidify the skills and concepts you're learning.Assessments
Auto-graded quizzes and immediate feedback help you reinforce your skills as you learn.Certificate of Completion
Earn a document to prove you've completed a course or path that you can share with your network.