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This repository has been archived by the owner on Mar 22, 2021. It is now read-only.
use existing material ("curation"), rather than developing new video tutorials
assume 100-200 students per year following this class
example things to discuss:
quick primer on data, data structure, and why we need data to make better decisions
downloading of RStudio, and introduction to interface
using R - the very simple steps (e.g., loading data, loading packages, calculating means, etc.)
maybe develop one exercise with MC test (pass/fail), where we present students with a marketing data set and they have to do a couple of exercises on it
tips:
make use of publicly available courses to follow (e.g., data camp)
one notebook, with a marketing application that summarizes the learning with maybe exercises
o "this is a marketing data set with sales on a given day per brand"
o opdracht: load the data, do a t-test
o calculate means
o ...
The text was updated successfully, but these errors were encountered:
@RoyKlaasseBos
objective: complete novices should be able to familiarize themselves with R
scope: this is a basic course for anybody from the marketing management or marketing analytics programs to get a first glimpse of R.
locations:
principles:
example things to discuss:
tips:
o "this is a marketing data set with sales on a given day per brand"
o opdracht: load the data, do a t-test
o calculate means
o ...
The text was updated successfully, but these errors were encountered: