CSCAR training opportunities

By | September 21, 2018
table of diverse students looking off to the right


Consulting for Statistics, Computing and Analytics Research (CSCAR) provides consulting services and training opportunities in statistics, data science, and advanced research computation to researchers across campus, regardless of skill level or academic background. All members of the campus community interested in making more effective use of data analytic techniques are invited to make use of their services.

Free consulting is available to all U-M researchers; workshops are open to all members of the U-M community (some workshops have a fee, see for details). Introductory, intermediate, and advanced workshops are scheduled this semester on topics including:

  • Machine learning/neural networks with Tensorflow
  • Statistical analysis with R
  • Geographic information systems (GIS)
  • Linux command line
  • Statistical analysis with Stata
  • Web scraping
  • Flux
  • SQL
  • Python/Numpy
  • R programming topics
  • Using Make/CMake to automate builds
  • Building Android applications
  • Shared memory parallel computing with OpenMP

A full listing of CSCAR workshops being offered this semester is available on their website. One-on-one consulting services for researchers of all skill levels are also available in the area of statistics and data science, and research computation. Visit the CSCAR website for additional information, and to schedule individual consultation sessions. Questions can be directed to