Columbia University - Data, Models and Decisions in Business Analytics
- Offered byedX
Data, Models and Decisions in Business Analytics at edX Overview
Data, Models and Decisions in Business Analytics
at edX
Learn fundamental tools and techniques for using data towards making business decisions in the face of uncertainty.
Duration | 10 hours |
Start from | Start Now |
Mode of learning | Online |
Schedule type | Self paced |
Difficulty level | Beginner |
Official Website | Go to Website  |
Credential | Certificate |
Data, Models and Decisions in Business Analytics at edX Highlights
Data, Models and Decisions in Business Analytics
at edX
- Start instantly and learn at your own schedule.
- Requires effort of 8-10 hours per week
- A great course for learning Business Analytics
- Learn expert professor of Columbia University
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Data, Models and Decisions in Business Analytics at edX Course details
Data, Models and Decisions in Business Analytics
at edX
Skills you will learn
What are the course deliverables?
- 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
More about this course
- 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.
Data, Models and Decisions in Business Analytics at edX Curriculum
Data, Models and Decisions in Business Analytics
at edX
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
Data, Models and Decisions in Business Analytics at edX Entry Requirements
Data, Models and Decisions in Business Analytics
at edX
Eligibility criteria
- Undergraduate probability, statistics and linear algebra. Students should have working knowledge of Python and familiarity with basic programming concepts in some procedural programming language.
Conditional Offer
- Not mentioned
Data, Models and Decisions in Business Analytics at edX Admission Process
Data, Models and Decisions in Business Analytics
at edX
Important Dates
May 25, 2024
Course Commencement Date
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Data, Models and Decisions in Business Analytics
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