what kinds of "final projects" do your learners take away with at the end of your workshop?
How important would you say it is that learners work on projects that are very similar to the work they do on a day-to-day basis?
A lot of lessons in data science, either online or in person, focuses on coding. However there is little available on project set up basics. Any recommendations?
Do you think Cheatsheets are useful documentation formats to help novices or trained UseRs?
often novices who I informally teach have v challenging tasks they want to automate with R - how can I best support them without just doing it for them?
Questions from talk at rstudio::global: