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

Programming for Data Science (Coursera) Coursera
University of Leeds

Programming for Data Science (Coursera)

CS: Programming Data Science

Explore the basics of programming and familiarise yourself with the Python language. After completing this course, you will be able to write Python programs in Jupyter Notebook and describe basic programming. In this course, you will learn everything you need to start your programming journey. You will discover the different data types available in Python and how to use them, learn how to apply conditional and looping control structures, and write your own functions.

Sep 21st 2026
3 Weeks
Programming Python Data Science
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.

Sep 14th 2026
3 Weeks
Python Python Programming Coursera Plus
Details
Uso de bases de datos con Python (Coursera) Coursera
University of Michigan

Uso de bases de datos con Python (Coursera)

CS: Software Engineering Computer Science

Este curso presentará a los estudiantes los conceptos básicos del lenguaje de consulta estructurado (Structured Query Language, SQL), así como el diseño básico de bases de datos para almacenar datos como parte de una iniciativa de varios pasos para recopilar, analizar y procesar datos. El curso utilizará SQLite3 como base de datos. También crearemos rastreadores web y procesos de visualización y recopilación de datos de varios pasos. Utilizaremos la biblioteca D3.js para realizar la visualización básica de datos.

Sep 14th 2026
5-12 Weeks
Programming Python Databases
Details
Machine Learning: Concepts and Applications (Coursera) Coursera
University of Chicago

Machine Learning: Concepts and Applications (Coursera)

Data Science

This course gives you a comprehensive introduction to both the theory and practice of machine learning. You will learn to use Python along with industry-standard libraries and tools, including Pandas, Scikit-learn, and Tensorflow, to ingest, explore, and prepare data for modeling and then train and evaluate models using a wide variety of techniques. Those techniques include linear regression with ordinary least squares, logistic regression, support vector machines, decision trees and ensembles, clustering, principal component analysis, hidden Markov models, and deep learning.

Sep 21st 2026
5-12 Weeks
Python Machine Learning Clustering
Details
Introduction to Machine Learning (Coursera) Coursera
Duke University

Introduction to Machine Learning (Coursera)

Data Science

This course will provide you a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc.) as well as demonstrate how these models can solve complex problems in a variety of industries, from medical diagnostics to image recognition to text prediction.

Sep 21st 2026
5-12 Weeks
ML NLP Machine Learning
Details
Machine Learning Rapid Prototyping with IBM Watson Studio (Coursera) Coursera
IBM

Machine Learning Rapid Prototyping with IBM Watson Studio (Coursera)

Data Science

An emerging trend in AI is the availability of technologies in which automation is used to select a best-fit model, perform feature engineering and improve model performance via hyperparameter optimization. This automation will provide rapid-prototyping of models and allow the Data Scientist to focus their efforts on applying domain knowledge to fine-tune models. This course will take the learner through the creation of an end-to-end automated pipeline built by Watson Studio’s AutoAI experiment tool, explaining the underlying technology at work as developed by IBM Research.

Sep 14th 2026
4 Weeks
Python Artificial Intelligence Prototyping
Details
Audio Signal Processing for Music Applications (Coursera) Coursera
Stanford University,Universitat Pompeu Fabra

Audio Signal Processing for Music Applications (Coursera)

CS: Software Engineering

In this course you will learn about audio signal processing methodologies that are specific for music and of use in real applications. We focus on the spectral processing techniques of relevance for the description and transformation of sounds, developing the basic theoretical and practical knowledge with which to analyze, synthesize, transform and describe audio signals in the context of music applications.

Sep 14th 2026
5-12 Weeks
Python Sound Signal Processing
Details
Estructuras de datos de Python (Coursera) Coursera
University of Michigan

Estructuras de datos de Python (Coursera)

CS: Software Engineering Computer Science

Este curso presentará las estructuras de datos básicas del lenguaje de programación Python. Veremos los conceptos básicos de la programación de procedimientos y exploraremos cómo podemos usar las estructuras de datos integrados de Python, como listas, diccionarios y tuplas, para realizar análisis de datos cada vez más complejos. Este curso abarcará los capítulos 6 a 10 del libro de texto “Python para todos”. Este curso cubre Python 3.

Sep 14th 2026
5-12 Weeks
Python Data Structures Dictionary
Details
Introduction to Open Source Application Development (Coursera) Coursera
Illinois Tech

Introduction to Open Source Application Development (Coursera)

CS: Software Engineering

This course introduces basic concepts of systems programming using a modern open source language. You will learn to apply basic programming concepts toward solving problems, writing pseudocode, working with and effectively using basic data types, abstract data types, control structures, code modularization and arrays. You will learn to detect errors, work with variables and loops, and discover how functions, methods, and operators work with different data types. You will also be introduced to the object paradigm including classes, inheritance, and polymorphism.

Sep 14th 2026
5-12 Weeks
Programming Python Object-Oriented Programming
Details