Proff. Richard Waterman Sir is simply great. I have never seen any professor with having so apt and subtle illustration skills before. Great course. Truly enhances my knowledge here.

More theoretical that I anticipated, without much of an opportunity to apply the concepts, but it does a really good job of establishing the theoretical underpinnings behind modeling.

covers the basic concepts of quantitative modeling . very simple and basic . motivated to continue with the specialization to learn more in depth about the topics by implementing them

Great course if you already have background and exposure to statistical modeling. I could be challenging to pick up material quickly if you lack sufficient stats or quant background.

Great professor! I enjoyed this course very much!

The only reason I'm giving 4/5 stars is because it wasn't as challenging as I would've thought. It was too simplified in my opinion.

The course provides basics for modelling understanding, it gives you several instruments that are to be developed further. You as a learner know what areas are to be deep dived into

It would be good if we have better slides in terms of animation where we switch from one graph to another or when we describe a particular point in pictures for clear understanding

The course is extremely well crafted but brief, Don't expect a Full Fledged Analytics Deep dive rather a hawk eye understanding of the analytical business modelling methodologies.

Thorough introductions on Fundamental concepts is provided that builds upon further advanced applications with practical examples. All in all, a very useful start to the course !

The overall course content is very well structured. Just one small suggestion - The presentation slides are not interactive. These should be in video mode and not in still mode.

This module provides a quick overview of all the common mathematical models used in business and focuses on their interpretation, without going too much into the maths itself.

More examples from real life should have been incorporated for learning. However, very compact course and awful presentations and instructor rightly modeled for this course.

For a short program, the professor was able to introduce in an easy way some key information about the subject with mastery. Awesome fundamentals. Can wait to go deeper now.

It would be nice if you could incorporate problem solving in this course. It will compliment the theory and would also teach students how to use different statistical tools.

In-depth explanation of the theory. However, the class could've been more engaging/practical. The quizzes should provide case studies instead of regurgitation of the theory.

I found the course very interesting. My only regret is that the course was only four weeks long, as I found myself wanting to dig further into the different types of models.

It was surprisingly simplified, the graphical illustrations and citing real examples helped to understand the equations better. It was a great learning experience for me.

Overall good high-level explanation of the material. The only thing that I dislike is that there is no "homework" or problem set with which we can test our understanding.

Muy explicativo en modelamiento matemático pero buscaba aprender mas de finanzas ya que conocía la mayoría de los contenidos por asignaturas cursadas en la universidad.

Enjoyed the course. GREAT INSTRUCTION. Course material matched expectations on the exam. Overall, the course provided a solid introduction to Quantitative Modeling.

I knew nothing about modeling until I took this course. Upon completion, I definitely know more now and am looking forward to taking other classes in this discipline.

Quite a nice introduction though definitions of the various compenents contained within all of the formulas could be more clearly defined and displayed on the slides.

Good beginner / refresher course on statistics and probability but does not involve any modeling. Likely a good class for those that need more work on math concepts.

In depth explanations are provided with a great reference to real life illustrations which helps a lot in understanding concept/methods with a much simpler approach.

Lacks explanations. I.e. Log-log model - how it was transformed and back-transformed is unclear. Similarly, Monte Carlo simulation is in fact not explained at all.