BASF - Approximating Competitor Market Share
 Open for Registration
  • Lecture time: Monday: 13:30:00 - 14:20:00 ET
  • Lab time: Friday: 13:30:00 - 15:20:00 ET
  • Domain: Agriculture
  • Keywords: Agriculture, Data Analysis, Data Exploration, Machine Learning, Market Research, Market Trends, Statistical algorithm, Statistics
  • Tools: Azure, Data Exploration, Machine Learning, Power BI, Python, Statistical Modeling, Statistics
  • Citizenship: Open to all students
Summary

Deliver a statistical approach to approximating competitive market share down at a more granular level. Then leverage such output to compute benchmarking analytics for quantifying the accessible market opportunity relative to our competitors.

Description

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

AY 2023 - 2024 Last updated: July 14, 2023, 2:23 p.m.