This was a very basic foundation course on data careers and business metrics. Gives a lot of examples of companies and their varying levels of need for data employees. There is a short segment in here on Financial services which i found to be a bit misplaced, and I would have liked more detail on the business metrics side as well as on the financial services side (if it is indeed well placed and I just didn't catch the correlation).

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.

The course structure and content is not exactly logically organised. At some moment, you get a question in your head, like, why all of a sudden they are talking about this or that? why would I need this information, if I don't plan to work in that area? Overall, seems like a collection of modules cut from the full run academic studies and tossed together in one pot.

It's great in general. It tries to give the student a general rapid knowledge which is great but hard to grasp sometimes and confusing another times especially for those like me with no previous background getting exposed to equations, definitions and business terminology. the routine lecture way and low visual or interactive learning added to the problem..

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.

Student Feedback was subpar. They offered little to no feedback on the work. Week 3's content was too mathematical, in that the explanations were too quick. There were not enough supplementary resources to understand what the instructor was getting at. You will likely need a course in business math to understand the math concepts here.

A good solid introduction to metrics that I believe will form the basis of the following courses in the specialization. The content jumps around a little bit in week 3 with some technical info that seemed out of place (hedging, stock calcs etc) but otherwise the content was useful and appropriate for the level intended.

The videos change very abruptly. There is very little flow and continuity between the videos. It feels like a collection of short videos, as compared to being a course/module. Especially Week 4, very random and not detailed.

However, full marks for Prof Egger. (Biased opinion as I have seen other videos/courses as well)

The course content was good, but it didn't have enough problems based on the math formulas shown. The final, peer-reviewed project was disappointing. I would rather answer many multiple choice questions in a final test instead of being at the mercy of a random internet-user's judgment for short answer questions.

It's OK, I think there's a few areas that could use some more depth of explanation. As with a few coursera courses there seems to be an assumption that students know the material being discussed and so it isn't explained. Most of the time in this unit that isn't the case but it does occur a bit.

Good course for those with limited exposure to business metrics. Would be more valuable to include 5 or 6 standard Key Performance Indicators (KPI's) by function (marketing, sales, operations, finance), etc. that will be typically encountered in an advanced undergraduate or MBA program.

The first weeks were a nice introduction to some of the basics of what data analysis is and how it is used. Unfortunately the last week displayed none of that as the professor just dropped you in the deep end, talking about financial analysis without explaining what anything really is.

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

This was a good introductory course, with some very informative video and instruction. I only give it 3 stars because I felt it really lacked interactivity. Although quizzes were required throughout, I felt too much of the class was simply sitting back and watching lectures.

To be honest, this course does not really qualify anyone for a job with certain metrics as it only scratches the surface. Further, the combination of jobs related to data such as a data scientist and the presented metrics and tasks do not really correspond in my opinion.

The course structure was good. However, it was mentioned that no prior knowledge is required but a lot of things related to commerce which a CS graduate doesn't learn which made it hard for me to comprehend a lot of things. Also, my certificate isnt properly printed.

Pretty good overview for simple business metrics definitions and basic level analysis. It is a good refresher for those with an analytics background, but also puts things in a perspective from a business setting which is good for when you are working in the field.

There are many people whose native language is not English, in the course reference it is mentioned that it has subtitles in Spanish, during the course it was only the first video, hopefully they can change it and reach more people with the desire to learn.

Great general overview on data analysis and common metrics used. However, there was a heavy emphasis on financials which becomes pretty technical and not explained clearly, so if you're not focused on financial data analysis I would pick another course.

In my opinion this course is superficial. I didn't get real knowledge from it. At the same time this course might be just an intro to the series of courses about Business Analytics. So I'm looking forward to try them all!

Anyway, thanks for the course!

The course is bit short only 3 weeks of material and ,I think the material is also kind of an overview of busines metrics but overall its okay it would be great if there are more lecture material and assignments to practice the material.

This is a LONG course with a lot of videos. It needs more practical work to be truly engaging. That said - Daniel Egger really knows his stuff and I really appreciated the interviews with graduates in different industries. Thank you.

I like the teaching style of professor to include practical sections related to career path. I think it would be better if the content of this course can be richer and more practical, including more skill-related lessons.

This course is a very good introduction to Business Analytics and what is required to become one. Though, I found it hard to follow lecture because the Professor speaks in a way that is very hard to follow naturally.

This is a very basic course, and too much time is spent on explaining basic business concepts. Videos could be much shorter with supplementary notes for those who are completely unfamiliar with business language.