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

4.5
étoiles
2,753 évaluations
513 avis

À propos du cours

Accounting Analytics explores how financial statement data and non-financial metrics can be linked to financial performance.  In this course, taught by Wharton’s acclaimed accounting professors, you’ll learn how data is used to assess what drives financial performance and to forecast future financial scenarios. While many accounting and financial organizations deliver data, accounting analytics deploys that data to deliver insight, and this course will explore the many areas in which accounting data provides insight into other business areas including consumer behavior predictions, corporate strategy, risk management, optimization, and more. By the end of this course, you’ll understand how financial data and non-financial data interact to forecast events, optimize operations, and determine strategy. This course has been designed to help you make better business decisions about the emerging roles of accounting analytics, so that you can apply what you’ve learned to make your own business decisions and create strategy using financial data. ...

Meilleurs avis

FA
11 juin 2018

One of the most practical courses I have taken in Coursera. Highly recommended for professionals in Business, Strategy, and Finance & Accounting departments, as well as stock market investors.

PB
4 févr. 2016

The course makes accounting interesting and especially the examples are very illustrative. Virtual students bring some fun. The 4th week is however really integrated in the course structure.

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326 - 350 sur 504 Avis pour Analyse comptable

par Shaharol N B M

25 déc. 2018

Excellent

par Diego A P G

27 mars 2017

Excelente

par Swaraj D

11 févr. 2017

Excellent

par JIPENG

16 mars 2016

数据分析的简单易懂

par PRAVEEN D

13 févr. 2016

Excellent

par snezana k

28 mars 2020

the best

par Jethro H

17 juin 2016

perfect!

par Nelson M C

13 avr. 2021

great

par MARTIN R

18 nov. 2020

Great

par 程鑫

21 févr. 2020

GOOD!

par Manasvee M K

28 déc. 2018

GREAT

par WAN Z B H A

19 déc. 2017

Great

par Ngkn

1 juil. 2016

great

par 张鹏

18 sept. 2019

非常棒!

par Kuljeet K

1 mars 2017

Good

par 张冬晴

28 févr. 2016

很棒

par Amit C

4 avr. 2020

v

par Mindru D

18 oct. 2017

S

par Govind R A

1 août 2017

F

par Feini L

5 mars 2021

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.

par Mohammad A

31 janv. 2020

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.

par Vera D

28 avr. 2020

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.

par James T

18 mai 2020

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.

par María d l Á Á P

14 nov. 2020

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.

par MUHAMMAD Z N H H

28 déc. 2020

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.