Understanding the business context is crucial to applying analytics effectively. Knowing the goals, challenges, and key performance indicators (KPIs) of the business helps in asking the right questions, interpreting data accurately, and making data-driven decisions that align with business objectives.

This course played a very helpful part in my journey in the field of Finance. It was a steppingstone for me to go forward with the required knowledge and skills. The course was also beautifully designed with all the needed knowledge on Quantitative Modelling.

This was a great class to take to get your feet wet and understand a concept in a business course. The professor was able to explain the concepts in an easy-to-understand way.

Very informative, insightful, and useful for those interested in developing a foundation in quantitative modeling.

The materials are explained clearly, although they might be considered a little too easy.

The teacher has clear logic in class and can explain quantitative modeling systematically

Very easy to follow, and a very suitable introductory class.

Fantastic course. Easy to pick and a great teacher.

It's very easy to understand.

Very engaging class. Thanks

easy to learn

Very good but doesn't go over the actual use of some of this math

Good fundamental lessons!

Course is very boring. No instruction regarding how to use the spreed-sheet or R to calculate those linear regression results. The results are just there. In some other fundamental that I took on coursera, those instructor gave some basic idea about how to use the tools/software. I was hoping for some very basic instruction about how to use R or excel at the very minimum.

Fairly straightforward and provided good content, but intros and summaries were often unnecessary and it seemed that a low percentage of the content was new material being learned. Still enjoyed it and learned useful terminology

The course comprised of very basic statistics and entry-level economics. Was a little disappointed because I was expecting something with the UPenn name to be more rigorous, but I can't complain at the price.

Felt like it could have been a little more plain....less theory, more application.

It was too basic. Could have been a little more in depth.

Could teach how to actually run the regressions

A lot of old content, needs to be updated

Needs more interaction from the teacher. Use animations to make the math more understandable or dynamic. Consider adding practice problems as a check to see if students are understanding the concepts.

Very academic (explaining models only) and the instructor is clearly reading off a board from the back... truly disappointing

Content is good. But the overall course could have been designed better with some hands on exercises.

the professor is really boring and i felt like sleeping as soon as he opened his mouth. Totally don't recommend it, its a waste of time and money

just theory and 0 practice