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Optimization Methods for Business Analytics

Optimization Methods for Business Analytics

Learn how to use optimization methodologies and modeling approaches to effectively analyze data.

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Course Highlights

  • Requires effort of 6-8 hours per week

  • Enroll for Free | Pay for a verified certificate

  • Learn from professors of Massachusetts Institute of Technology

  • Offered by Massachusetts Institute of Technology

Duration: 42 Days

Mode of learning: Online self study

Course Overview

Who should do this course ?
  • The recommended audience for this course is undergraduates, as well as professionals interested in using optimization software. The content in this course has applications in logistics, marketing, project management, finance, statistics and machine learning.

What are the course deliverables ?
  • Theoretical aspects of Linear Programming

  • Basic Julia programming

  • Proficiency with linear and nonlinear solvers

More about this course
  • Optimization is the search for the best and most effective solution. In this mathematics course, we will examine optimization through a Business Analytics lens. You will be introduced to the to the theory, algorithms, and applications of optimization. Linear and integer programming will be taught both algebraically and geometrically, and then applied to problems involving data. Students will develop an understanding of algebraic formulations, and use Julia/JuMP for computation. Theoretical components of the course are made approachable, and require no formal background in linear algebra or calculus.

Eligibility
  • None, although a comfort with mathematics is expected.

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    Frequently Asked Questions

    Can I get refund or exchange the course if required?Can I start and pay later?
    Yes, you can start your course in the audit track, and upgrade to the verified track later. However, to access graded assignments you will need to upgrade to the verified track.
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