This is a course to teach basic Python programming skills through data analysis. The book and course materials are all free and licensed as Creative Commons. There is no complex math in the course, the programs are generally quite short, and the workload is no more than a few hours per week. By the time you complete the course, you will understand be able to read, parse, and manipulate data using Python. Hopefully at the end of the course you will like programming well enough to take another course in programming or web development. You can register and launch, take the course, and earn your place on the map at any time and at your own pace.
The reusable and remixable OER materials for this course can be downloaded here.
This course is Open Enrollment.
This course is taught by Dr. Chuck on Coursera and covers the impact of technology and networks on our lives, culture, and society continues to increase. The very fact that you can take this course from anywhere in the world requires a technological infrastructure that was designed, engineered, and built over the past sixty years. To function in an information-centric world, we need to understand the workings of network technology. This course will open up the Internet and show you how it was created, who created it and how it works. Along the way we will meet many of the innovators who developed the Internet and Web technologies that we use today.
This course aims to teach everyone the basics of programming computers using Python. We cover the basics of how one constructs a program from a series of simple instructions in Python. The course has no pre-requisites and avoids all but the simplest mathematics. Anyone with moderate computer experience should be able to master the materials in this course. This course will cover Chapters 1-5 of the textbook “Python for Informatics”. Once a student completes this course, they will be ready to take more advanced programming courses.
This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. This course will cover Chapters 6-10 of the textbook “Python for Informatics”.
This course will show how one can treat the Internet as a source of data. We will scrape, parse, and read web data as well as access data using web APIs. We will work with HTML, XML, and JSON data formats in Python. This course will cover Chapters 11-13 of the textbook “Python for Informatics”.
This course will introduce students to the basics of the Structured Query Language (SQL) as well as basic database design for storing data as part of a multi-step data gathering, analysis, and processing effort. The course will use SQLite3 as its database. We will also build web crawlers and multi-step data gathering and visualization processes. We will use the D3.js library to do basic data visualization. This course will cover Chapters 14-15 of the book “Python for Informatics”.
The Dr. Chuck Online Python course is now available on Coursera and is called "Programming for Everybody". The Coursera version of the course will be given at various start times during the year. If you want to learn the material at your own pace, you can still take Python for Informatics self-paced here and earn a Dr. Chuck badge. Both courses feature the same materials. The course continues to feature a complete set of CC-BY licensed Open Educational Materials.