Monthly Archives: March 2017

The Tidyverse Curse

I’ve just finished a major overhaul to┬ámy widely read article, Why R is Hard to Learn. It describes the main complaints I’ve heard from the participants to my workshops, and how those complaints can often be mitigated. Here’s the only … Continue reading

Posted in Data Science, R | 17 Comments

Forrester’s 2017 Take on Tools for Data Science

In my ongoing quest to track The Popularity of Data Science Software, I’ve updated the discussion of the annual report from Forrester, which I repeat here to save you from having to read through the entire document. If your organization … Continue reading

Posted in Analytics, Data Science, R, SAS, SPSS | 2 Comments

Jobs for “Data Science” Up 7-fold, for “Statistician” Down by Half

The Bureau of Labor Statistics projects that jobs for statisticians will grow by 34% between 2014 and 2024. However, according to the nation’s largest job web site, the number of companies looking for “statisticians” is actually in sharp decline. Those … Continue reading

Posted in Analytics, Data Science, R, SAS, Statistics, Uncategorized | 1 Comment