by Paulin Shek
As a new Mango Consultant, I had my first experience of a Mango training course a few weeks ago. I observed Aimée Gott @aimeegott_R teach a 2-day public training course – “Introduction to R for Analytics”. Feedback is recorded from all Mango training courses and Aimée is one of the highest scorers so she is an ideal person for me to learn from. Due to the fact that I’d never considered training as a career before joining Mango, I found the experience to be fascinating on multiple levels, and it gave me much food for thought for the train journey home.
The first thing that I noticed was the pace of the course. Aimée spent a long time on the introduction – the chapter that I’d skipped when I first read through the training materials! But as with all things that Aimée does, this was purposeful. The introduction covers, amongst many other things, websites and forums related to the R community, especially websites like stackoverflow or other places to get help. The aim of the course is to equip people with the necessary programming skills as quickly as possible, and a very important part of that is to be able get help and continue learning after the course ends.
However, it didn’t end there; I made many other observations about the pace of the course throughout the two days. The pace of the second day increased in comparison to the first. On the first day, a lot of time was spent ensuring the data types and vector manipulation were fully understood but the second day we got stuck in to learning about statistical functions in R, followed by the package ggplot2. Again, there was rationale behind this: “By ensuring people have a strong understanding of the basics, they …read more
Source:: r-bloggers.com