Skill Path

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.

To start this Skill Path, upgrade your plan.
7,502 learners enrolled
  • Skill level

    Intermediate
  • Time to complete

    Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary
    10 hours
  • Certificate of completion

    Yes
  • Prerequisites

    2 courses
    We 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.

The platform

Hands-on learning

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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.
    Chris
    Codecademy 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.
    Rodrigo
    Codecademy Learner @ UK
  • Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.
    John-Andrew
    Codecademy Learner @ USA

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How it works

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    We guide you through exactly where to start and what to learn next to build a new skill.
  3. 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.

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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.