商业分析中的数据、模型和决策

Data, Models and Decisions in Business Analytics

Learn fundamental tools and techniques for using data towards making business decisions in the face of uncertainty.

1075 次查看
哥伦比亚大学
edX
  • 完成时间大约为 12
  • 高级
  • 英语
注:因开课平台的各种因素变化,以上开课日期仅供参考

你将学到什么

Fundamental concepts from probability, statistics, stochastic modeling, and optimization to develop systematic frameworks for decision-making in a dynamic setting

How to use historical data to learn the underlying model and pattern

Optimization methods and software to solve decision problems under uncertainty in business applications

课程概况

In today’s world, managerial decisions are increasingly based on data-driven models and analysis using statistical and optimization methods that have dramatically changed the way businesses operate in most domains including service operations, marketing, transportation, and finance.

The main objectives of this course are the following:

Introduce fundamental techniques towards a principled approach for data-driven decision-making.
Quantitative modeling of dynamic nature of decision problems using historical data, and
Learn various approaches for decision-making in the face of uncertainty

Topics covered include probability, statistics, regression, stochastic modeling, and linear, nonlinear and discrete optimization.

Most of the topics will be presented in the context of practical business applications to illustrate its usefulness in practice.

课程大纲

Introduction to Probability: Random variables; Normal, Binomial, Exponential distributions; applications
Estimation: sampling; confidence intervals; hypothesis testing
Regression: linear regression; dummy variables; applications
Linear Optimization; Non-linear optimization; Discrete Optimization; applications
Dynamic Optimization; decision trees

预备知识

Undergraduate probability, statistics and linear algebra. Students should have working knowledge of Python and familiarity with basic programming concepts in some procedural programming language.

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