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.

This course builds a classic Rock Paper Scissors game in Python using a modular programming method for a beginner-level coder.

Learn how to build robust machine learning pipelines that can handle and recover from unexpected disasters.

This course covers generative AI with OpenAI’s ChatGPT, emphasizing prompt design and practical uses in marketing, research, and code generation.

This course helps you learn the basics of natural language processing with deep learning and machine learning algorithms.

Deep learning has revolutionized NLP and problems that require a large amount of work in terms of new features. Tuning can now be efficiently solved using NLP.

This course teaches optimization in machine learning with NumPy and SciPy, covering fundamentals, convex and non-convex techniques, and advanced algorithms.

Sharpen your data analysis skills by solving challenging puzzles with Pandas.

Understand common mistakes in storing passwords and learn best practices for password security.

This course will walk you through the most common scenarios for manipulating PDF Files using the Python programming language.