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Avis et commentaires pour l'étudiant pour Analyse comptable par Université de Pennsylvanie

2,011 notes
347 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


Jun 12, 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.


Feb 05, 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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176 - 200 sur 341 Examens pour Analyse comptable

par Siqi F

Oct 20, 2017

awesome slides and quiz questions

par Aashish S

Oct 03, 2017

a very good course for accounting professionals.

par LOC N

Nov 06, 2016

great accounting ratio analysis

par David L

Jun 08, 2017


par ANN M

Jun 25, 2017

Great overview of analytic models with case studies.

par 许之亮

Nov 06, 2017

this is real practical course, l learn a lot from them . great.

par Pierre-Alexandre R

Oct 22, 2017

Great course, giving in-depth and valuable knowledege on accounting analytics! I highly recommend it.

par Govind R A

Aug 01, 2017


par Abhinav B

Jun 06, 2017

Excellent course for financial practitioners without a background in analytics.

par Lanyun L

Aug 05, 2017

This course is very useful and Professor gave us lots of examples to help understanding the accounting analysis methods. But it would be better to take the Introduction of Accounting Course by Professor before. Thanks for Professor and his humour again !

par kartik

Oct 07, 2017

Very important course so nicely taught! Thank you! :)

par yaoyaoholiday

Oct 27, 2017

Really excellent prepared class. This is the first time I have a clear picture of all the fraud-detecting tools! Thank you, professor!

par Siva P

May 12, 2017

Great Course! Really helpful!


Jul 03, 2017

Excellent Pedagogy!! Must Join!!

par Grant I

May 02, 2017

An excellent course. I only wish the portion on non-financial metrics included some examples or insight in how best to quantify non-financial metrics in do


Aug 28, 2017

great course

par Shuaib R S

Jul 02, 2017

Awespome course. Great stuffs to learn.

par Giammarco L

May 30, 2017

A great course!

par Sachin S

Sep 18, 2017

Sincere gratitude to Prof. Bushee and Ittner for delivering lecture with such finesse. Learned a lot and hopefully I get to use the concepts one day :D

par V.V.L.N. S

Mar 29, 2018

Excellent Course

par Wahid A K

Nov 16, 2017

Awesome course

par Fang S

Mar 19, 2018

Very useful. Never thought data science could be used in accounting.

par Prashant N M

May 02, 2018

The course content is so lucid that it levels up the learner irrespective of his/her functional/domain understanding. And the interesting part is practical applicability of learning in professional & personal area. Thank you Coursera; Brian J Bushee & Christopher D. Ittner

par Ihemanma W

Apr 08, 2018

Truthfully , It was a real challenge for me since i had no accounting backgrounds but it was amazing, and the professors were gifted. i couldn't help but wonder how they got so good in the field. And as a graduate of education, i think the teaching methodology was engaging and perfect for all kind of learners. Thank you so very much.

par WAN Z B H A

Dec 19, 2017