Learn optimization techniques using Python for solving real-world problems in machine learning, operations research, and more.

This course provides a comprehensive beginner through to advanced learning pathway to gain skills in data visualization with both Plotly and Dash in Python.

Learn self-supervised learning techniques and apply them to real-world machine learning tasks.

Discover NLP with spaCy: tokenization, preprocessing, pipelines, training, evaluation, and deployment. Perfect for all skill levels.

Gain mastery of Python 3 by learning best practices, advanced programming techniques, and real-world applications.

In this course, we'll learn to write unit tests for python applications using Pytest framework. It's a small step toward becoming a better developer :)

Master web scraping with Python, HTML, Requests, Beautiful Soup, and Scrapy. Learn skills like pagination and gain hands-on experience in data-driven careers.

Create visually appealing plots and graphs using Matplotlib, a popular Python visualization library.

Apply machine learning and image processing techniques to analyze medical images using Python.

This second course in Django for Everybody explores data models in Django and how it communicates with a database. This course also explores basic Structured Query Language (SQL) and database modeling and how they work in the Django model.

This course is a "no prerequisite" introduction to Python Programming. You will learn about variables, conditional execution, repeated execution and how we use functions. The homework is done in a web browser so you can do all of the programming assignments on a phone or public computer.

The second course in Python for Everybody explores variables that contain collections of data like string, lists, dictionaries, and tuples. Learning how to store and represent and manipulate data collections while a program is running is an important part of learning how to program.