Great content and lectures, that possibly provides new dimensions to look/explain the situation in context, I guess I will comeback for references to continue with this journey in to 'Model Thinking'
very informative and insightful on how to use the various models at our disposal to take optimal decision. Also, was nostalgic to go back in time where these models were part of my university degree.
par José R B R F•
This is a very good course for many people. From engineers (I am one myself) to economists and policy makers, there is always something usefull. Also, the classes are fun to watch! I had a great time and learned a great deal. Thanks!
par Dave S•
This was a fantastically nuanced, and challenging course. Out of all of the MOOCs I've done so far, this has really changed the way I see events around me and has led me to look for patterns in things I've never considered before.
par Hans D K•
Excellent course to join the world of modelling (and big data). Very useful for marketing or regulatory/government affairs. Looking forward to deepening my modelling skills and applying them to real-life situations professionally.
par Charles C W•
This course changed the way I think about many issues. The professor's enthusiasm was infectious and the quizzes contributed to the learning process. Only request would be for additional, higher level courses on the same topic.
par Callum H•
I took this course at the University of Michigan and used the Coursera version as a study aid. This has been one of the most interesting and thought provoking classes I have taken in my academic career. Thank you Professor Page.
par Peter M•
What a refreshing portfolio of perspectives on modelling! This course answered a lot of questions that I've been accumulating overtime in the 'unanswered' log in my brain. Doing this course felt like a long overdue spring clean.
par Matthew M•
I appreciated this course's focus on providing students the tools to become a many model thinker. I found the content enlightening because of fresh insights it provided to previous coursework I took in economics and statistics.
par Valeriy N•
The course is a great introduction to a fascinating world of modeling. It beautifully combines theory and practical application that encourages thinking about the world in a new, logical, and intelligent way. Highly recommend!
par Steve L•
This is a great and challenging course for anyone who wants to learn and explore the fast changing world. The principles provided in this course serve as a strong foundation for us to be more productive as a global citizen.
par Gustavo S•
Great professor and resources, relevant concepts about different Thinking Models, Markov, Lyapunov, Blotto, Linear, Categorial, Nash Equilibrium, Paretto Efficiency, etc.
Useful to apply on workplace and daily life as well...
The most inspiring course I've ever watched. Millions of thanks and respect to professor Page. I will absolutely watch it again until I understand everything he says and be capable of explaining the models to my friends.
par Ameer U K•
An excellent course but to apply this practically would require one to be flexible in their understanding of the concepts and fit them into their current work and this is doable (a little bit of thinking out of the box)
par Davide G•
Even if you already have a strong math background, this course will open your eyes: it will provide you with extremely useful tools to think clearly about important problems. Scott is a great teacher, 100% recommended.
par antonio q•
A very good training, really pushed me to think in model terms, looking at most of the life aspect and see correlations, maybe causations, being challenged to use more models at once, I highly recommend this course
par Alexey M•
It is really great course!
Thanks for making it available.
I think it is course that everybody should take before going into machine learning/data science. It may help you to make better sense of what you will learn.
par Sara D R•
This overview of a variety of modeling concepts and applications was both challenging and interesting. The course requires study and effort which pays off with a broader perspective on simple and complex processes.
par AnhVu N•
It is a very interesting course. The lecture is easy to understand and the lecturer is very friendly. I got a lot of interesting and useful knowledge not only for my jobs but also for my life. Thank you very much!
par Ritayan B•
I found this to be extremely interesting. This is the course that you savour every second of. Both content and delivery are superlative. Highly recommended if you have any clue of what models are all about.
par Ross A•
Excellent course showing some interesting ways to analyse social relationships using simple models. The lecturer is excellent: clear explanations, well organised and provides nice examples of the concepts.
par N G•
One of the best courses I've seen. Broad coverage of different types of models and many have a place in the life of an analyst or data scientist. Excellent. I also strongly recommend Scott Page's books.
This course is simply AMAZING!!! Thank you Michigan University, & Mr. Scott for your meticulous efforts in bringing to the world quality education in the most simplified pattern!!! Kuddos to Coursera!!!
par Michael C•
Very good and inspiring course. It teaches around 20 different models, not overwhelming you with math but giving you nonetheless a good and solid introduction. Also, the reading material is really good.
par Denerson D P M•
Excelente curso para desenvolver modelos analíticos que vão muito além do senso comum, de forma estruturada e crítica, a partir de dados e inferências estatísticas, matemáticas e sócio-comportamentais.
par Kleber G S•
Ótimo curso !
Um dos melhores que já fiz, com certeza passei a enxergar múltiplas situações de forma diferente.
O Curso cumpre com seu objetivo de fazer pessoas melhores para um mundo melhor .
par Anshul T•
Wonderful course and equally wonderful instructor. I really like how Scott builds up from a very simple model and by explaining the intuition behind how we got the math, explains the maths.