Whether it’s a Weatherblur dataset, or data you are interpreting from another source, approaching a big bank of numbers can be intimidating. Students (and, let’s be honest, us!) need support in how to begin to analyze and explore data. Guiding students through a series of questions with more and more complex datasets will give them confidence in working with messy data. Which is a good thing – because data seems to be getting messier and messier!
Try using this simple template from our partners at Tuva to help students explore datasets. Use sample datasets on Tuva, your own Weatherblur data, or any other source of datasets (we suggest the recent sports stats..or, if the pandemic is still around..some historical sports stats!).
We also LOVE the resources coming out of the United Kingdom and their Barefoot Computing Program. It does require registering, but we think you’ll find it more than worth it. Here is an example of a great lesson plan for students introducing basic data concepts, such as attributes, in a fun and interactive way.