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⇱ Select Topics in Python: Natural Language Processing | Coursera


Select Topics in Python: Natural Language Processing

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Select Topics in Python: Natural Language Processing

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

7 hours to complete
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

7 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Analyze text in a variety of ways

  • Leverage the Natural Language Toolkit (NLTK) platform

  • Build a chatbot

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English

Build your subject-matter expertise

This course is part of the Select Topics in Python Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 3 modules in this course

Code and run your first NLP program in minutes without installing anything!

This course is designed for learners who have some experience with Python but are a novice to NLP. The modules in this course cover processing and analyzing text; analyzing speech, syntax, and semantics; and building a chatbot. To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and runnable code examples with suggested edits to explore code examples further, building a deeper understanding by doing. You’ll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling code blocks) to slowly building features, resulting in large coding projects at the end of the course.

Welcome to Week 1 of the Select Topics in Python: Natural Language Processing course. These assignments cover the basics of NLP and the NLTK library, pre-processing, processing, and analyzing text. The module ends with graded coding exercises.

What's included

6 readings5 app items

6 readingsβ€’Total 14 minutes
  • Navigating Codio Assignmentsβ€’5 minutes
  • How to Reset an Assignment in Codioβ€’5 minutes
  • Getting Started (optional download)β€’1 minute
  • Pre-Processing Text (optional download)β€’1 minute
  • Parsing Text (optional download)β€’1 minute
  • Analyzing Text (optional download)β€’1 minute
5 app itemsβ€’Total 125 minutes
  • Codio: Getting Startedβ€’20 minutes
  • Codio: Pre-Processing Textβ€’20 minutes
  • Codio: Parsing Textβ€’20 minutes
  • Codio: Analyzing Textβ€’20 minutes
  • Codio: Coding Exercisesβ€’45 minutes

Welcome to Week 2 of the Select Topics in Python: Natural Language Processing course. These assignments cover how to convert natural language into numerical representations that enable you to compute the similarity between provided text, and how to use a pre-trained language model. The module ends with graded coding exercises.

What's included

6 readings5 app items

6 readingsβ€’Total 14 minutes
  • Navigating Codio Assignmentsβ€’5 minutes
  • How to Reset an Assignment in Codioβ€’5 minutes
  • Word Frequency Analysis: Bag of Words (optional download)β€’1 minute
  • Term Frequency-Inverse Document Frequency (optional download)β€’1 minute
  • Text Similarity Metrics (optional download)β€’1 minute
  • Pre-Trained Language Models (optional download)β€’1 minute
5 app itemsβ€’Total 125 minutes
  • Codio: Word Frequency Analysis: Bag of Wordsβ€’20 minutes
  • Codio: Term Frequency-Inverse Document Frequencyβ€’20 minutes
  • Codio: Text Similarity Metricsβ€’20 minutes
  • Codio: Pre-Trained Language Modelsβ€’20 minutes
  • Codio: Coding Exercisesβ€’45 minutes

Welcome to Week 3 of the Select Topics in Python: Natural Language Processing course. These assignments cover the basics about how chatbots work and will create a series of chatbots - ranging from a simple, hard-coded chatbot in Python to a more sophisticated open domain chatbot that uses a pre-trained language model. The module ends with graded coding exercises.

What's included

5 readings4 app items

5 readingsβ€’Total 13 minutes
  • Navigating Codio Assignmentsβ€’5 minutes
  • How to Reset an Assignment in Codioβ€’5 minutes
  • The Simple Bot (optional download)β€’1 minute
  • The API Bot (optional download)β€’1 minute
  • Pretrained Model (optional download)β€’1 minute
4 app itemsβ€’Total 120 minutes
  • Codio: The Simple Botβ€’25 minutes
  • Codio: The API Botβ€’25 minutes
  • Codio: Pretrained Modelβ€’25 minutes
  • Codio: Coding Exercisesβ€’45 minutes

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Instructors

Codio
2 Coursesβ€’5,385 learners

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Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

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