15.276 数据沟通与可视化表达 (Communicating with Data)

MIT Course 15 · Communication · 沟通与传播 · 课号 15.276

TL;DR

• 数据沟通的核心在于将复杂量化分析提炼为驱动高管决策的清晰叙事与行动方案。
• 遵循认知感知原则设计统计图表，避免图表垃圾，提升信息信噪比与关键洞察传达效率。
• 构建从数据发现、假设验证到逻辑论证的完整管理层汇报架构与互动应对策略。

课程简介 / Description

Communicating With Data has a distinctive structure and content, combining fundamental quantitative techniques of using data to make informed management decisions with illustrations of how real decision makers, even highly trained professionals, fall prey to errors and biases in their understanding. We present the fundamental concepts underlying the quantitative techniques as a way of thinking, not just a way of calculating, in order to enhance decision-making skills. Rather than survey all of the techniques of management science, we stress those fundamental concepts and tools that we believe are most important for the practical analysis of management decisions, presenting the material as much as possible in the context of realistic business situations from a variety of settings. Exercises and examples drawn from marketing, finance, operations management, strategy, and other management functions.

讲义 / Lecture Notes

• 1
  • Introduction (PDF)
• 2
  • Decision Analysis I - Kendall Crab and Lobster Case (PDF)
• 3
  • Laws of Probability (PDF)
• 4
  • Decision Analysis II - Graphic Corp. Case
• 5
  • Value (PDF)
• 6
  • Discrete Probability (PDF)
• 7
  • Binomial Distribution (PDF)
• 8
  • Portfolio Risk Management (PDF)
• 9
  • Normal Distribution (PDF)
• 10
  • Central Limit Theorem (PDF)
• 11
  • Sampling and Sample Means (PDF)
• 12
  • Simulation (PDF)
• 13
  • Gentle Lentil Case
• 14
  • Estimation and Mis-estimation (PDF)
• 15
  • Ontario Gateway Case
• 16
  • Regression I (PDF)
• 17
  • Regression II
• 18
  • Regression III
• 19
  • Communication Exercise
• 20
  • Summary (PDF)
• 21
  • Final Exam

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