Data Analysis for Scientists
Multi-disciplinary introduction to data analysis across the Sciences emphasized through problems in current research conducted at Keene State College, including Biology, Chemistry, Environmental Studies, Engineering, Astronomy, etc. Data visualization and communication is a primary focus. Topics include: basic programming techniques, file input/output, visualization, data mining, times series, image and movie analysis. Prerequisites: 24 credits of ISP, including ITW 101 and QL course. Fall
Section: IIPHYS-342-01
Credits: 4
Faculty: Sarah McGregor
Days: MWF
Times: 12:00PM‑1:10PM (MWF)
Start/End Date: 08/28/23 - 12/15/23
Instruction Method: Lecture-based Learning
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