Data, Models and Decisions in Business Analytics

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.


Course Objectives:

  • 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.


Recommended Background

  • Recommended for individuals heading towards a career in data science / currently in a business data analyst/ data scientist role.
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Course ID

ED131

Skill Focus

Smart Technology

Instructor(s)

Columbia University

Employee Type

New applicants, Leadership

Method of Delivery

Digital

Estimated Effort

120 hrs

Cost

Audit Free


Certification is paid for $ 149.00 ; Full financial aid available for certification