• Lecture time: Thursday: 09:30:00 - 10:20:00 ET
  • Lab time: Tuesday: 09:30:00 - 11:20:00 ET
  • Domain: Agriculture
  • Keywords: Agronomy, API, Crops, Data Visualization, ETL, Predictive Analysis
  • Tools: Excel, Power BI, Python, Tableau
  • Citizenship: Open to all students
Summary

Enable operations management to predict workload and resource allocation to recognize variability in the seed testing process and in the quality of test results. Arrive at performance metrics derived from user telemetry and create individual, workgroup, and managerial dashboards.

Description

***Please see the PDF for a detailed project description. When registering for this project in UniTime, look for 'Indiana Crop Improvement Association' in the Note section, and select the appropriate CRN.***