Jonathan Nagler: writing good code
Today’s data scientist must know how to write good code. Regardless of whether they are working with a commercial off-the-shelf statistical software package, R, Python, or Perl, all require the use of good coding practices. Large and complex datasets need lots of manipulation to wrangle them into shape for analytics, statistical estimation often is complex, and presentation of complicated results sometimes requires writing lots of code.