The Columbia University is offering free online course on Demand and Supply Analytics. This course is about modeling and how computer models can support managerial decision making.
In this twelve week course, applicants will learn how to use data to develop insights and predictive capabilities to make better business decisions. This course will start on March 19, 2018.
Course At A Glance
Length: 12 weeks
Effort: 8-10 hours pw
Subject: Business & Management
Institution: Columbia University and edx
Certificate Available: Yes, Add a Verified Certificate for $375
Session: Course Starts on March 19, 2018
Columbia University is one of the world’s most important centers of research and at the same time a distinctive and distinguished learning environment for undergraduates and graduate students in many scholarly and professional fields.
About This Course
The course has two distinct parts:
- The first half of the course we will cover supervised learning techniques for regression and classification. In this framework, we possess an output or response that we wish to predict based on a set of inputs. We will discuss several fundamental methods for performing this task and algorithms for their optimization. Our approach will be more practically motivated, meaning we will fully develop a mathematical understanding of the respective algorithms, but we will only briefly touch on abstract learning theory.
- In the second half, we shift to unsupervised learning techniques. In these problems the end goal less clear-cut than predicting an output based on a corresponding input. We will cover three fundamental problems of unsupervised learning: data clustering, matrix factorization, and sequential models for order-dependent data. Some applications of these models include object recommendation and topic modeling.
Why Take This Course?
This course will help learners become intelligent users and consumers of these models. To this end, we will cover the basic elements of modeling – how to formulate a model and how to use and interpret the information a model produces.
- To identify, evaluate, and capture business analytic opportunities that create business value
- Build models to support and help make managerial and business decisions
- Basic analytical methods and their applications
- Analyze case studies on organizations that successfully deployed analytical techniques
Omar Besbes is an Associate Professor in the Decision, Risk, and Operations division at the Graduate School of Business, Columbia University.
Adam Elmachtoub is an Assistant Professor of Industrial Engineering and Operations Research at Columbia University, where he is also a member of the Data Science Institute.
How To Join This Course
- Go to the course website link
- Create an edX account to SignUp
- Choose “Register Now” to get started.
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