Updated: Dec 21, 2019
Let's begin to demystify data science and describe the racial implications. We spent 2-hours (+ a few minutes) sharing the origins of the data science discipline, data's cultural context as well as providing our data science definition. Presentations, containing slides and engaging attendees in discussion, are good, but hands-on activities are better.
Our master class covers:
A Brief History of Data Science
Race & Data
What Data Science Is
What Data Science Is NOT
Hands-On with Jupyter Notebook
We did a short data science project walk-through using the Jupyter Notebook. Making data science more tangible with a concrete example helps with understanding and learning. So you may start your data science learning journey, the class content is now available on GitHub.
Contact us, if you'd like to delve deeper into data work!