Avis et commentaires pour d'étudiants pour Analyse comptable par Université de Pennsylvanie

Excellent

数据分析的简单易懂

Excellent

the best

perfect!

great

Great

GOOD！

GREAT

Great

great

非常棒！

Good

很棒

v

S

F

This course, compared to the ones before in this BA Specialisation, requires a bit of accounting background knowledge, which Prof. Bushee has made clear in the first week. This could lead to a slow and rough start. But I would say once you take time on yourself, figuring out all these definitions in accounting mentioned in the course, it actually turns out to be a really interesting and informative one. I appreciate those inbetween virtual student comments from Prof. Bushee's videos, making the dry definitions and ratios fun to learn and to think about. Prof. Ittner's week 4 has the logic one needs when looking at a problem.

This course requires solid knowledge in accounting, so should include accounting fundamentals as a prerequisite for this course, I think the plan for BA specialization should take this into future consideration.

In the other hand professors were very good in explaining their material especially Bushee, and it gave me great new insights on how to track earning manipulations, use prediction tools for decision-making etc.

As an introductory course to accounting analytics I think this course was very good but not excellent.

Good course, requiring some prior knowledge of Accounting. It equipped me with a good knowledge of financial statements analysis and earning management basics. The big data block is not actually about the big data, it still gives you a good overview of how to identify earnings management on a greater scale. I was particularly excited about the correlation between financial and non-financial measures, but it has honestly disappointed me. I found it this block rather theoretical and ill-presented.

I found Professor Ittner very enjoyable and entertaining. He was animated and smiling why presenting. I liked that a lot. Professor Bushee on the other hand, needs improvement in his presentation. The content was great, however, the delivery of the information needs work. The two major issues 1) He was way too close up to the camera like he was in my face which made it uncomfortable to look at the screen, 2) I felt the animated classroom was a complete waste of time and did nothing for me.

I found the lessons to be quite instructive and thorough, but not as clear as expected. I know there must be a level of analysis to correctly identify the what's being asked in the quiz, but the high amount of information in the slides and the presentations, paired with lack of explanation, made it difficult to focus and to comprehend all the material to then take the quiz successfully. However, I was able to learn a lot and it was a great experience overall.

Week 4 could have been delivered by going beyond the concepts. Professor Ittner did a great work at delivering the theoretical aspects of linking non-financial measures to financial performance, but I believe more spreadsheets and formulas, and a bit less concepts could give the course a "bang for the buck". Overall, I love the course and would probably take another one of Wharton's Business Analytics courses.

I really enjoyed the Course and have learned a lot. The lectures given by Professor Brian was really helpful and interesting. I wish I could say the same for Professor Ittner. I think his lecture was a bit too much of information at a stretch. It was helpful but it was a bit difficult to concentrate on it too longer. But overall, I have learned quite a lot and am very satisfied with the course

Pretty tough for the first two sections if you, like me, don't know anything about the basics of accounting or financial statements, but still doable. If you have the time, I do recommend taking an accounting overview first to ground you in basic concepts.

Second two sessions are great for folks like me who already work in what they call "big data" analytics.