CSES-4234: Agro Data Integration
Description: Data science applications in the agricultural sciences. Data pipelines and modern Linux, cluster and cloud-based computing environments. Command line interface and shell scripting. Programming and data processing in Python programming language. Data analysis and visualization in R programming language. Agronomic data analysis and data mining.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 0
Average GPA: N/A
Strict A Rate (No A-) : N/A%
Average Withdrawal Rate: N/A%