This is a solid workshop that can be both taught as a stand-alone workshop or as part of the Python track on the digital institutes.
This workshop was co-written by Rafael Davis Portela and Patrick Smyth.
It was first taught at CUNY GC by Rafael Davis Portela in the Spring of 2021 as a two hour online syncronous workshop.
Abstract:
In this hands-on workshop, we will learn the basics of data exploration, analysis and visualization with Python. We will introduce and work with the Pandas library and Jupyter Notebook, tools that have become the standard for data analysis with Python. Some introductory Python knowledge is necessary, since we will not have time to go over the basics during the workshop. But do not let that scare you. If you take our online Introduction to Python workshop ( https://github.com/DHRI-Curriculum/python ) before coming to this one, you will be fine. This workshop will be held online with Zoom."
- Students need to be familiar with the Python language. We should suggest them to take the Intro to Python workshop first.
- Students should install Anaconda on their computers, so they have Jupyter Notebook and all the libraries we use.
- Alternatively, students can use Google Colab, which runs in the browser and require no installation.
- It would benefit students if they came to this workshop with some basic notions of how Jupyter Notebook works (or Google Colab, if that's the case). Any 5-10 minute long tutorial on youtube should be enough for that. Whoever is leading the workshop should give them the link.
Feedback was very good. Students liked the content, depth and pace.
Students also requested for this workshop to be longer. A 3-hour long session with a break (15 to 30 minutes) in the middle would probably be ideal. The current version of the workshop has no challenges/exercises. Adding a couple of them should be enough to extend the duration of the workshop.