Coursera

Select Topics in Python: Natural Language Processing (Coursera)

Offered by Codio,
Select Topics in Python: Natural Language Processing (Coursera)

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.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

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.
Course 4 of 4 in the Select Topics in Python Specialization.

What You Will Learn

  • Analyze text in a variety of ways
  • Leverage the Natural Language Toolkit (NLTK) platform
  • Build a chatbot

Syllabus

WEEK 1
NLP Basic Workflow
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.

WEEK 2
Methods for Analyzing Natural Language
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.

WEEK 3
Creating an NLP-Powered Chatbot
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.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Data Science in Stratified Healthcare and Precision Medicine (Coursera) Coursera
University of Edinburgh

Data Science in Stratified Healthcare and Precision Medicine (Coursera)

Health & Society Statistics & Data Analysis

An increasing volume of data is becoming available in biomedicine and healthcare, from genomic data, to electronic patient records and data collected by wearable devices. Recent advances in data science are transforming the life sciences, leading to precision medicine and stratified healthcare. In this course, you will learn about some of the different types of data and computational methods involved in stratified healthcare and precision medicine.

Nov 2nd 2026
5-12 Weeks
Medicine Healthcare Machine Learning
Details
Algorithmic Thinking (Part 1) (Coursera) Coursera
Rice University

Algorithmic Thinking (Part 1) (Coursera)

CS: Theory

Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language. This two-part class is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to computational problems.

Nov 2nd 2026
4 Weeks
Python Computing Algorithms
Details
Llama for Python Programmers (Coursera) Coursera
University of Michigan

Llama for Python Programmers (Coursera)

CS: Software Engineering CS: Programming

Llama for Python Programmers is designed for programmers who want to leverage the Llama 2 large language model (LLM) and take advantage of the generative artificial intelligence (AI) revolution. In this course, you’ll learn how open-source LLMs can run on self-hosted hardware, made possible through techniques such as quantization by using the llama.cpp package.

Nov 9th 2026
3 Weeks
Python Python Programming Coursera Plus
Details
Algorithmic Thinking (Part 2) (Coursera) Coursera
Rice University

Algorithmic Thinking (Part 2) (Coursera)

CS: Theory

Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language. This two-part class is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to computational problems.

Nov 2nd 2026
4 Weeks
Python Computing Algorithms
Details
Understanding and Applying Text Embeddings (Coursera) Coursera
DeepLearning.AI

Understanding and Applying Text Embeddings (Coursera)

Data Science

The Vertex AI Text-Embeddings API enhances the process of generating text embeddings. These text embeddings, which are numerical representations of text, play a pivotal role in many tasks involving the identification of similar items, like Google searches, online shopping recommendations, and personalized music suggestions.

Nov 9th 2026
1 Week
Python Programming Natural Language Processing Natural Language Generation
Details
Estruturas de dados Python (Coursera) Coursera
University of Michigan

Estruturas de dados Python (Coursera)

CS: Software Engineering CS: Programming

Este curso apresentará as estruturas de dados centrais da linguagem de programação Python. Vamos superar os fundamentos da programação de procedimentos e explorar como podemos usar as estruturas de dados integradas do Python, como listas, dicionários e tuplas, para realizar análises de dados cada vez mais complexas. Este curso cobrirá os capítulos 6 a 10 do livro “Python para Todos”. Este curso aborda o Python 3.

Nov 2nd 2026
5-12 Weeks
Programming Python Semantics
Details
Visualization for Data Journalism (Coursera) Coursera
University of Illinois at Urbana-Champaign

Visualization for Data Journalism (Coursera)

Statistics & Data Analysis Data Science

While telling stories with data has been part of the news practice since its earliest days, it is in the midst of a renaissance. Graphics desks which used to be deemed as “the art department,” a subfield outside the work of newsrooms, are becoming a core part of newsrooms’ operation. Those people (they often have various titles: data journalists, news artists, graphic reporters, developers, etc.) who design news graphics are expected to be full-fledged journalists and work closely with reporters and editors.

Nov 2nd 2026
5-12 Weeks
Python Storytelling Data Analysis
Details
Applied Plotting, Charting & Data Representation in Python (Coursera) Coursera
University of Michigan

Applied Plotting, Charting & Data Representation in Python (Coursera)

Statistics & Data Analysis Data Science

This course will introduce the learner to information visualization basics, with a focus on reporting and charting using the matplotlib library. The course will start with a design and information literacy perspective, touching on what makes a good and bad visualization, and what statistical measures translate into in terms of visualizations. The second week will focus on the technology used to make visualizations in python, matplotlib, and introduce users to best practices when creating basic charts and how to realize design decisions in the framework.

Nov 2nd 2026
4 Weeks
Python Data Analysis Data Science
Details