Stanford Root

Schedule

Stanford Root

Schedule

BUSGEN 111

Introduction to Business I: Strategic Economics and Data-Driven Decision-Making

UNITS:3
GRADING:Letter (ABCD/NP)
LEVEL:Undergrad
GER:—

This course offers a comprehensive exploration of the critical factors driving business success, integrating strategy and economics with data-driven decision-making. You will investigate how effective business strategies harmonize with customer dynamics, market forces, and organizational structures, while also learning to transform raw data into actionable insights. Through a blend of theoretical concepts and practical applications, you will develop the skills to create value, optimize pricing, and enhance organizational performance. By examining foundational economic principles alongside advanced analytical techniques, this course equips you with the tools needed to understand why some firms succeed while others fail in today's complex and data-rich business environment. The curriculum progresses from foundational concepts to advanced techniques, focusing on: Understanding how firms create and capture value through products and services. Analyzing the interplay between price, demand, and consumer behavior to enhance profitability. Developing pricing strategies that align with a firm's overall product portfolio. Exploring the intricacies of organizational design and leadership's role in fostering productivity. Addressing challenges of scaling a business with an emphasis on cost management and sustainable growth. Building mathematical models to visualize decision components and their relationships. Incorporating probability and statistics to quantify uncertainty in decision-making contexts. Exploring causality, regression analysis, and optimization to understand complex variable relationships. Introducing simulation techniques and scenario analysis to analyze complex business situations. This course offers a blend of engaging content, including videos, graphics, interactive activities, real-world case studies, and practical exercises, deepening your understanding and application of these concepts. This course provides a holistic view of what it takes to design and lead successful firms, equipping you with the tools to apply these principles in real-world business scenarios.

Syllabus for selected term:
View Winter 2027 Syllabus

Sections

1 Term
Case Study 1Open
ID: 28640
0 / 60 enrolled
DAYS:Not Applicable
TIME:Not Applicable
LOCATION:Not Applicable
INSTRUCTOR:
Wallace, Collin, Glickman, Matt
3units

BUSGEN 111: Introduction to Business I: Strategic Economics and Data-Driven Decision-Making

3 units · Letter (ABCD/NP)

This course offers a comprehensive exploration of the critical factors driving business success, integrating strategy and economics with data-driven decision-making. You will investigate how effective business strategies harmonize with customer dynamics, market forces, and organizational structures, while also learning to transform raw data into actionable insights. Through a blend of theoretical concepts and practical applications, you will develop the skills to create value, optimize pricing, and enhance organizational performance. By examining foundational economic principles alongside advanced analytical techniques, this course equips you with the tools needed to understand why some firms succeed while others fail in today's complex and data-rich business environment. The curriculum progresses from foundational concepts to advanced techniques, focusing on: Understanding how firms create and capture value through products and services. Analyzing the interplay between price, demand, and consumer behavior to enhance profitability. Developing pricing strategies that align with a firm's overall product portfolio. Exploring the intricacies of organizational design and leadership's role in fostering productivity. Addressing challenges of scaling a business with an emphasis on cost management and sustainable growth. Building mathematical models to visualize decision components and their relationships. Incorporating probability and statistics to quantify uncertainty in decision-making contexts. Exploring causality, regression analysis, and optimization to understand complex variable relationships. Introducing simulation techniques and scenario analysis to analyze complex business situations. This course offers a blend of engaging content, including videos, graphics, interactive activities, real-world case studies, and practical exercises, deepening your understanding and application of these concepts. This course provides a holistic view of what it takes to design and lead successful firms, equipping you with the tools to apply these principles in real-world business scenarios.

Offered in Winter 2027 at Stanford University.

Winter 2027 sections

  • Case Study — TBA TBA — Wallace, Collin, Glickman, Matt (Undergrad)

More BUSGEN courses

  • BUSGEN 101: The AI-powered Org: Evolution, Rebirth or Death?
  • BUSGEN 102: The Future of Money and Payments
  • BUSGEN 105: From Start-Up to Mature Company: Strategic Mgmt of Entrepreneurial Ventures and Established Firms
  • BUSGEN 106: Becoming Effective Leaders
  • BUSGEN 108: Causality, Decision Making and Data Science
  • BUSGEN 110: Foundations of Corporate Finance
  • BUSGEN 112: Introduction to Business II: Financial Acumen and Effective Communication
  • BUSGEN 113: Are U.S. Treasuries Safe or Risky? Government Debt in the U.S. and Other Mature Economies
  • BUSGEN 114: The Language of Business: Financial Accounting and Decision-Making
  • BUSGEN 115: Games, Decisions and Negotiations
  • BUSGEN 116: Free Systems: Preserving Liberty in an Algorithmic World
  • BUSGEN 133: Showing Up

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