Data Science

Linear Programming for Data Science

4.69 (48 Ratings)


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About this course

Linear programming is an optimization technique for a system of linear constraints and a linear objective function. And in this course you will get introduced to Linear Programming, it's Graphical method, sensitivity analysis, and assumptions in Linear Programming and some hand-on exercise


  • Linear Programming

Course Syllabus

Linear Programming for Data Science

  • Introduction to Linear Programming
  • Graphical method
  • Sensitivity analysis
  • Assumptions in Linear Programming
  • Case study - Investment Problem
  • Case study - Portfolio optimization
  • Case study - Recruitment planning

Course Certificate

Get Linear Programming for Data Science course completion certificate from Great learning which you can share in the Certifications section of your LinkedIn profile, on printed resumes, CVs, or other documents.

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