Research Data & Computation

Computational lab course that spans research data processing workflow starting just after the point of acquisition through to computation and visualization.

Topics Include

  • Stanford specific best practices for data storage
  • Code management
  • File formats
  • Data curation
  • Toolchain creation
  • Interactive and batch computing
  • Dynamic visualization
  • Distributed computing

Students will work with a dataset of their choosing when working through topics


Course Page
Price
$2,800.00 Subject to change
Delivery
Online, instructor-led
Level
Introductory
Commitment
10 weeks, 6-10 hrs/week
School
Stanford School of Engineering
Language
English