ENT 402
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Entrepreneurship Analytics
Course Description
Analysis of expected profitability of startups. Students collect and analyze data to find demand curves, cost curves, profit curves, optimal prices and competition in various competitive environments. Economic principles are used to make decisions about whether to launch new ventures.
When Taught
Fall
Min
3
Fixed/Max
3
Fixed
3
Fixed
0
Other Prerequisites
For Entrepreneurial Management majors only.
Title
Experimentation Under Uncertainty
Learning Outcome
Design and conduct real-world experiments that generate data to resolve key uncertainties in early-stage ventures.
Title
Profit Analytics and Pricing Judgment
Learning Outcome
Gather data on customer demand, interpret profitability analytics from automated tools, and evaluate pricing and cost decisions accordingly.
Title
Market Entry and Competitive Strategy
Learning Outcome
Assess market attractiveness by analyzing competition, barriers to entry, and differentiated value using Shiny-powered modeling tools.
Title
Data-Informed Decision Practice
Learning Outcome
Interpret analytical results from Shiny apps and data experiments to guide venture-specific customer, supplier, pricing, and positioning decisions.
Title
Integrity and Stewardship of Truth in Analytics
Learning Outcome
Demonstrate intellectual honesty and humility in gathering data, interpreting results, and communicating uncertainty-recognizing the duty to seek and act on truth.
Title
Becoming a Lifelong Evidence-Seeking Entrepreneur
Learning Outcome
Internalize the mindset and process of using evidence to guide venture judgment and reduce uncertainty throughout life.
Title
Strategic Judgment Under Uncertainty
Learning Outcome
Make early-stage strategic decisions-about markets, models, and positioning-based on evidence, experimentation, and sustainable advantage.
