Lecture
Basics of Spatial Data Science
Course and term details
- Sequence
- 40
- Part of term
- 1
- Term
- Fall 2026
- Delivery
- Online-Asynchronous
- Delivery code
- I
- Linked section
- No
- Open section
- Yes
Fall 2026
GIST5050 CRN 12689Basics of Spatial Data Science
LectureOnlineAlbeke, Shannon EOnline · async
Section data from the UW course catalog via uwyoschedule. Confirm seats and meeting times in WyoWeb before you register.
Schedule
Days TBD
08/31/2026 – 12/11/2026
Meeting type
No Meeting · LEC
Faculty
Albeke, Shannon EPrimary
salbeke@uwyo.edu
Seats
4
open of 10 seats
Enrollment and waitlist
- Enrollment
- 6
- Maximum enrollment
- 10
- Seats available
- 4
- Wait capacity
- 5
- Wait count
- 0
- Wait seats available
- 5
Course description
An introduction to the basics of spatial data science. We introduce foundational GIS concepts, integration of multiple software packages (e.g. relational databases, Program R, Python, and ArcPro), proven database designs, and scripting, leading to increased efficiency during data analyses. These information science principles are demonstrated using project-based examples. Graduate level course, undergraduate students permitted to take course with permission from instructor.
Section information
**This online section is reserved only for graduate students in GIST online certificate and masters programs. Please reach out to gist@uwyo.edu to enroll** An introduction to the basics of spatial data science. We introduce foundational GIS concepts, integration of multiple software packages (e.g. relational databases, Program R, Python, and ArcPro), proven database designs, and scripting, leading to increased efficiency during data analyses. These information science principles are demonstrated using project-based examples. Graduate level course, undergraduate students permitted to take course with permission from instructor.
Credits
3
3
All credit fields
- Credit range
- 3
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