In this data-driven world, companies are often interested in knowing what is the "best" course of action, given the data. For example, manufacturers need to decide how many units of a product to produce given the estimated demand and raw material availability? Should they make all the products in-house or buy some from a third-party to meet the demand? Prescriptive Analytics is the branch of analytics that can provide answers to these questions. It is used for prescribing data-based decisions. The most important method in the prescriptive analytics toolbox is optimization. This course will introduce students to the basic principles of linear optimization for decision-making. Using practical examples, this course teaches how to convert a problem scenario into a mathematical model that can be solved to get the best business outcome. We will learn to identify decision variables, objective function, and constraints of a problem, and use them to formulate and solve an optimization problem using Excel solver and spreadsheet.
VP
The course is good for learning fundamentals of optimisation using linear programming !
JH
There are a lot of examples to work through and learn from which I find helps make the material easier to learn.
CL
Good teaching style with step by step guidance. Thanks for the connecting high school math (that I learned many years ago) to real life context. I look forward to the next course.
JI
The professor was easy to follow. I learned more from this course than a whole semester of Optimization in my graduate class.
AO
I love the calmness and the fact the course was detailed and concise as possible. Professor Soumya Sen is a great teacher.
CW
It was an interesting refreshed for the most part and went very quickly. Could have used just a little more info on using Excel Solver. Thanks for the class!
AJ
hands on oriented. good balance of theory and practical
NR
Very insightful course. Love the detail explaination for solving simple LP problems.
TB
I found this course excellent, almost one could say, optimal!
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I thoroughly enjoyed this Coursera course on “Optimization for Decision Making”. Having been fascinated by optimization during my high school days, I eagerly enrolled. The course content surpassed my expectations. The lecturer’s clear explanations and engaging case studies provided both a refresher and a deep dive into solving optimization problems.
Optimization for Decision Making is good course.It 's not too complex for me.I can make easy and immidiately decision from use graphical.Moreover, I can decision which have to buy or making something .It's very useful for all business to control your cost.
Good teaching style with step by step guidance. Thanks for the connecting high school math (that I learned many years ago) to real life context. I look forward to the next course.
The professor was easy to follow. I learned more from this course than a whole semester of Optimization in my graduate class.
I love the calmness and the fact the course was detailed and concise as possible. Professor Soumya Sen is a great teacher.
There are a lot of examples to work through and learn from which I find helps make the material easier to learn.
The course is good for learning fundamentals of optimisation using linear programming !
Very insightful course. Love the detail explaination for solving simple LP problems.
I found this course excellent, almost one could say, optimal!
hands on oriented. good balance of theory and practical
Good course.very practical orientated.
Lectures were very clear and concise!
Very nice course, thanks coursera
It is an excellent course. Thanks
Excelente
good
It was an interesting refreshed for the most part and went very quickly. Could have used just a little more info on using Excel Solver. Thanks for the class!
it will be better if we can download the pdf for the course materials so the learner will be easier to review the course without going back to the video (especially when doing the practice or the graded exam). since i think the learner target is for the beginner level, it also better if we also able to download all of the excel files that used in this course (at least the default template) As for the course itself I find it helpfull and interesting