Optimization with Python: Solve Operations Research Problems (Udemy.com)

A very useful course for anyone looking for an introduction to Optimization Research problem‑solving. The course clearly explains the different frameworks and solvers, and helps you understand which ones are best suited for various business cases.

The course is well structured and progressive. The explanations are clear. There are plenty of examples to help you apply what you learn. The resources allow you to delve deeper into theoretical concepts that are not covered in detail in the course.

I liked the practical approach used in this course for teaching a very heavy topic. Since the topic of optimization is very vast, I was expecting a little more deep-dive on theoretical part by the instructor. But instead, most of the theory are provided as reference pdfs, some of which are not very educational. However, this course helped me get a very good grasp of structured programming for solving optimization problems using python!

O curso é muito completo porque aborda todos os passos para resolver problemas de otimização com python recorrendo ao pyomo. Ensina os detalhes da instalação dos solvers, sugere a melhor forma de formular um problema e por fim resolvê-lo com a melhor ferramenta para cada caso.

Very nice course with lots of examples and exercises. Definitely useful for gaining/improving skills in solving mathematical problems with Python. However, I found two little flaws within the course - hence the 4 star rating. The instructor is experienced and knowledgeable in the topic of optimization and solver usage, but seems less fluent with programming itself - some code-related terms are misused and some generic code is added without explanation. Also, during many exercises the videos are just filled with timers (5-30 minutes) - this may not be a big deal, but eventually the course is a lot shorter than 13 hours shown by Udemy. I prefer when the exercises are introduced in one video and solved in another one - without the timer in-between. Having considered the tiny flaws, I still recommend the course as it introduced many different problems in details with use of various packages and the explanation was great.

For me the course was a good introduction to pyomo and other frameworks with examples. I already studied operations research so it served as a little refresher. Subtitles are not very good since they are auto generated, if you can understand english then its ok.

Der Kurs war super. Alle meine Ansprüche wurden erfüllt. Ich konnte zwar mit der Einführung in Optimierungsmodelle nicht so viel anfangen, weil ich diesen Teil schon kannte, dann habe ich ihn aber einfach wie empfohlen übersprungen. Dafür fand ich vor allem die Erklärung der Installierungsschritte super. Das hat meine Erwartungen übertroffen. Leider habe ich einen Mac und musste dann viele Dinge selbst googeln, aber ich habe trotzdem eine gute Anleitung bekommen. Ansonsten: das Thema an sich wurde sehr verständlich erklärt, auch die schrittweise Einbindung von neuen Python Funktionen war sehr hilfreich und optimal mit dem Lernfortschritt abgestimmt. Danke!

I really enjoyed the course. It was exactly what I was looking for and provided a very nice overview of classic operations research problems and how to solve them in python by using different frameworks and solvers. I strongly recommend it to anyone who is interested in operations research.

This is a very interesting course. It fulfill its purpose, i.e., it does show in detail how one can solve different types of optimization problems using solvers and Pyomo (a solver framework). Explanations are clear and the exercises are helpful. The instructor is not a native speaker of English, so one should expected a small mistake here and there regarding the use of the language. However, this does affect the learning process. I liked the course and I do recommend it.

Excellent course, that covers at an appropriate pace all the subjects from systems installations and Python Basics to detailed use-cases. Good references available for those wanting to dig deeper into specific topics. Videos are useful and easy to get back to as quick reference or reminder. The instructor is really responsive on questions asked. Genetic algorithms and evolutionary algorithms that are mentioned in the course description are indeed covered in the course content, but with less emphasis as use of solvers (which is what I was looking for). In the end, this course fully met my expectations. As a first experience with an online course, I am really satisfied and consider follow more. Thanks!