Sometimes it seems very "mechanic". The instructor is clearly reading a script.

Why were we talking about money managers and hedge funds? What does that have to do with data analytics for business? I never saw the connection and they never explained it.

Meh. It was just okay.

I found this course interesting, but a bit too simple.

From the answers of other students that I marked many are non-native speakers of English who hadn't really understood the questions.

I would have liked the course to have been more hands on. I would have also liked to have seen other platforms utilized.

Ex:

Hypothetical situations to apply course content to.

Group assignments with real time chat.

Better formatted supplemental readings to compliment the lecture videos.

Also, I feel like the instructors failed to explain some of the business jargon used, which wasn't remedied by referencing the dictionary.

Comprehensive and general techique

I found the lectures marginally useful. The instructor may know what he is talking about but takes a rather unstructured approach to articulating it. Having come from a business background and going into BI full-time, I was seeking novel ways to evaluate business performance. The glossary cheatsheets delivered on this best - but the videos I found to have simple, tired repeated perspective. It could be more useful if you have no business background whatsoever.

Good introduction to business metrics. I was less enthusiastic about all the investment metrics and formulas, but that might just be me.

The class is a pretty nice overview of metrics in general. it is more broad than it is deep, and sometimes the videos and explanations were not the most easily digested. While the content was helpful, this class could have been greatly improved if slides were provided instead of just a transcript. Finally, some of the explanations and definitions, though interesting, weren't often well tied together. The final assignment case study was definitely useful in thinking about several of the metrics covered over the four weeks.

not much is taught here but I guess should be a good beginning for the specialization.

I had a hard time finding material to study.

I wish the class had more reading material.

Good intro

I thought that they could have gone more in depth in terms of metrics, how to calculate them, and use them in real life situations. The course seemed to focus too much on the type of companies that use data, as well as what type of jobs there are in this field. I didn't find it too relevant or helpful in terms of making me more productive at work.

this course is good for people with pure technical background who has little or no idea about business. For those who have been involved in business, there isn't much new. However the best part of the course was the clear definition of various job profiles and skill sets required for each profile. Thats the best takeaway. If you have good idea about business KPIs, then you can give this course a miss. Next courses are more techinical and will help people with business background

Survey course. Excited to apply the knowledge and learn concrete skills in the upcoming courses within this specialization.

The business case on the Coffee Roaster company is really helpful. For the rest, it seems to me just a collection of disparate metrics with no solid foundation.

Great introduction to the Subject

Very basic terms. Not very helpful for later concepts and would not recommend for business professionals that have experience

The course title is a bit misleading. There were too much math in the course.

Interesting enough, good start to the specialization but not the most content for a standalone course.

The course was within expectations. No

Too easy.

Everything was going good until week 3, in spite of passing the course week 3 remains a little blurry in my head because of lack of explanation.

Boring!

videos can be more interactive with more information on the slides. feel that slides downloaded is not worth the time. I seem to see the professor on screen more then important information we need to take note of. Some modules need to go indepth explanation but does not, especially on