Back to Class

Thanks to friends at the “Escuela Politécnica Nacional” in Ecuador, I got the chance to be in front of students after a loooong time off the classroom and talk about Data Science with R. Well in front meaning in front of my laptop during a zoom call, but still…

It’s never boring talking about stuff I like, but I gotta admit, sometimes I doubt if my talking/explanations are fulfilling the students’ expectations. Nonetheless, after asking them for anonymous and sincere feedback, I realized that I did quite a good job.

BUT… most recommendations were related to using real data, real examples, same stuff but applied to a real scenario. So, just in case, if you’re reading this and happen to have data that need analyzing/modeling and you would like to have some results presented in a cool way, hit me up, maybe we can join efforts and get a win-win-win-…-win situation.

Shiny dashboards and RMarkdown reports were also in the list of recommendations I got. So all in all, I’m happy to see that more people are getting interested in using R. It’s definitely motivating for all of us R users.

In case one or many of the students that were on the call read this, thanks for the opportunity and thanks for allowing me to learn & improve. Hope to get more chances like this one and be able to help, teach and share while learning.

And just for fun:

library(cowsay)
say("Cheers everyone!! Off to the next one", "poop")

## 
##  ----- 
## Cheers everyone!! Off to the next one 
##  ------ 
##     \   
##      \
##      (   )
##   (   ) (
##    ) _   )
##     ( \_
##   _(_\ \)__
##  (____\ ___)) [nosig]