  We analyze the changes in the training and educational efforts of the SciNet
HPC Consortium, a Canadian academic High Performance Computing center, in the
areas of Scientific Computing and High-Performance Computing, over the last six
years. Initially, SciNet offered isolated training events on how to use HPC
systems and write parallel code, but the training program now consists of a
broad range of workshops and courses that users can take toward certificates in
scientific computing, data science, or high-performance computing. Using data
on enrollment, attendence, and certificate numbers from SciNet's education
website, used by almost 1800 users so far, we extract trends on the growth,
demand, and breadth of SciNet's training program. Among the results are a
steady overall growth, a sharp and steady increase in the demand for data
science training, and a wider participation of 'non-traditional' computing
disciplines, which has motivated an increasingly broad spectrum of training
offerings. Of interest is also that many of the training initiatives have
evolved into courses that can be taken as part of the graduate curriculum at
the University of Toronto.
