You will find a couple of tools for statistical analysis of great value as
we progress through material in this class. I suspect you would not really
fancy performing a discriminant function analysis on a couple thousand cases
by hand :-).
You will likely want to have ...
Texteditor (one that can talk GREP). There are many available,
including TextWrangler, jEdit, etc.
R 3..0.1+ (currently 3.6.1)
RStudio (currently 1.2.1335)
Options and installation instructions can be found in my
blog. The sections of relevance for the class are in part 5 -
Installations for R and Python.
Consider adopting Jupyter, it is a multimedia notebook that allows you to
integrate different components of one analysis in the same visual context,
data, notes, results, conclusions. The Jupyter notebook is organized around
a collection of individual cells, each of which containing lain vanilla
python code, python code that integrates with R, results of analyses,
graphics, and notes/comments.