Demand and Supply Analytics, Certificate

  • Anytime
    Application Deadline
  • 84 days
    Duration
  • English
    Language
EdX is an online learning platform trusted by over 12 million users offering the Business Analytics - Theory and Practice Program in collaboration with Columbia University – ColumbiaX. Learn how to use data to develop insights and predictive capabilities to make better business decisions.

About

The Demand and Supply Analytics course, part of the Business Analytics MicroMasters Program from Columbia University - ColumbiaX is about modeling and how computer models can support managerial decision making. A model is a simplified representation of a real situation and modeling is the process of developing, analyzing and interpreting a model in order to help make better decisions. Models can be invaluable tools in managing and understanding the complexity and risk inherent in many business problems. As a result, models have become an increasingly important part of business at all levels from daily operations to strategic decision making.

What you'll learn:

  • 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

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. The course emphasizes “learning by doing” so that students will be expected to formulate, solve, and interpret a number of different optimization and simulation models using Excel spreadsheets. An important theme in the course is to understand the appropriate use of models in business and the potential pitfalls from using models incorrectly or inappropriately.

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 modelling.

The Demand and Supply Analytics programme is part of the Business Analytics MicroMasters Program.

Detailed Programme Facts

Programme Structure

Courses include:
  • Introduction
  • Predicting outcomes I
  • Predicting outcomes II
  • Quality of predictions

English Language Requirements

This programme requires students to demonstrate proficiency in English.

Schedule IELTS

Academic Requirements

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

Tuition Fee

  • International Applies to you

    375 USD/full
    Tuition Fee
    Based on the original amount of 375 USD for the full programme and a duration of 84 days.
  • National Applies to you

    375 USD/full
    Tuition Fee
    Based on the original amount of 375 USD for the full programme and a duration of 84 days.
We've labeled the tuition fee that applies to you because we think you are from and prefer over other currencies.
  • 5% discount coupon: Z7LZNQ4TN3B2JTWU valid for any free course + certificate upgrade

Funding

Check the programme website for information about funding options.

StudyPortals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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