Very informative

Insightful

excellent

good

It's ok. Bushee is very knowledgeable and a very enthusiastic teacher, but his lessons are too dense compared to the content in the rest of the Wharton BA programs. I actually like all the detail, but I think it's covered too quickly and the course should probably be made longer to deal with it all. There are ratios and balance sheet jargon just flying at you at a breathless pace. It would be better to focus on a few key ones and then walk through the examples a little more slowly. The quizzes were extremely tricky with too many choose more than one answers. It was difficult to find the parts of the video to review missed questions because 1) the transcripts are machine generated and make it difficult to search specific words and 2) it's difficult to remember where the concept was covered because there was so much in each video.

The last week felt very disconnected from the first week and like it belonged in a different course almost. It was pretty good, though. I liked how it contained specific examples and charts.

It's ridiculous that there are no listed prereqs for this course, yet within the first 15 minutes we're told to stop and take an introductory accounting course (no recommendation given, just "a course") because the prof is going to assume we're already up to speed on accounting terminology and concepts. The first three weeks have many supporting Excel files, but topics this challenging would have benefited greatly from practice questions and scenarios, similar to those found in Operational Analytics. I found the fourth week to be the most enjoyable and informative, although there was a distinct lack of supplemental material compared to the preceding weeks.

The first three weeks focussed heavily on ratios and detecting fraud and earnings management in an organization, the fourth week seemed to actually relate to data analytics and how non-financial aspects of a company play a role in the financial outcomes. I really do not see where a data analyst who is not in accounting field would be using the fraud detection scenarios in real life. A data analyst would be focused on improving the business and doing the analyses that pertain to improving certain aspects of a business, not finding his manager's earnings management using an M-score etc.

I do want to write a lot but this is course was sooo exhausting, full of formulas and technical terms and not even mentioning the pre-requisites before enrolling!

But one major thing that I would like to mention that it would be a great help to give the answers (or the logic) of the questions in the quizes that we got wrong....at least after the third trial ?! Anyways you sometimes do change questions in each trial, you can do that always but please tell us where we are thinking wrong or how to approach.

I would add more examples on how to populate the data, even spend time on optional videos where the professor or his assistant goes through testing ratios (something similar to Operations Analytics). I feel like the professor was rushing through his explanations and the models. Maybe people found the course very useful however I felt like there was too much text and immediate switch to Excel file that was elaborated shortly. Overall, I am not sure how to apply these ratios in my final project...

I love the professors, but unfortunately, I do not feel much connection to me (not really seeing so much importance for me to identifying if a company is making fake financial statements; I am not an investor, and my everyday work does not really have so much to do with financial statements).

The Managerial Accounting (week 4) transforms my mindset!! I really appreciate that. That one single week of course can literally help so many companies/NGOs. That week 4 should be promoted more!!

I liked it, although I felt like they were 2 courses: One for the first three weeks, another one during the last week.

The "First Course" was OK, but it was regular accounting stuff. I was rusty on that so I enjoyed it.

The "Second Course" was the one related with Analytics.

I give it 3 Stars because you can see some lack of preparation in the team. And because didn't made a proper link between Accounting and Analytics.

The first two weeks were not interesting for me (and that made it hard to get through them). The third was already a bit better and the fourth was the most interesting week. It was because in my position I don't compare companies, I work in one company and I'm trying to implement the best accounting analytics for that company. I'm not trying to identify whether my company is conducting fraud.

I know it's first time to give low rank but unfortunately this is about my feelings to this course, because in that course it's disappointing in order to it connects to finance professionals I don't have that knowledge about finance, I thought it will give me the full knowledge about that field like other courses in the same Specialization.

With my Accounts/Business/Finance/Statistics Graduation/Post Graduation Education and Teaching & Work Experience, I believe the Professor/Educator who Designed and Presented this Course requires atleast a Basic Training before putting together an important Course like Accounting Analytics.

The first part pretty much covers a common valuation class which is fine, however, the videos weren't anywhere near an academic niveau. A lot of useless information and not serious enough for a learning platform. The last video was very well explained and informative.

Sorry to say but among the four courses of this specialization, this one really disappointed me. Not the fault of teachers or institute, i think the only mistake they made is try to fit too many topics in one course. Anyway this is only my opinion!

A lot of information and was good for getting a general jist of the accounts side of things, however I found it more complex/information-loaded than need be, considering the specialization claims you do not need any past experience for the course.

Prof Brian Bushee is really excellent but I felt that Prof Chris Ittner's lecture was quite fluffy for an analytics course. Would have appreciated practice problems and case study practices like the operation analytics class

I thought there was too much time spent on analysing accounting data to find fraudulent activities and much less time spent on analysing data to help identify weaknesses and areas to improve the performance of companies.

I found Week 1,2,3 with Professor Bushee hard to digest and the exams were not easy. I expected better explanations of the concepts. I found the other instructors in other parts of the specialization way more effective.

Some concepts were really interesting and easy to understand and some of them were really tough. But I guess this is because i have very little background in accounting. Good course though.

The course itself is good. Nevertheless, it says that it doesn't require any previous experience... But there is actually experience required on financial statements and concepts.

should include more exercises in week 3. lecturer did a decent job in explaining this difficult topic like earning management but could do better explaining it more cleaarly.

I don't have the background in accounting. It is too hard for me to follow the lesson. However, I still could follow the lesson, even though I must give more energy there.

The tests were from Weeks 1-3 were very very inaccurate, and full of mistakes. These mistakes were extremely time consuming, and made the overall experience disappointing.