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Voltar para Introduction to Spreadsheets and Models

Comentários e feedback de alunos de Introduction to Spreadsheets and Models da instituição Universidade da Pensilvânia

2,452 classificações
412 avaliações

Sobre o curso

The simple spreadsheet is one of the most powerful data analysis tools that exists, and it’s available to almost anyone. Major corporations and small businesses alike use spreadsheet models to determine where key measures of their success are now, and where they are likely to be in the future. But in order to get the most out of a spreadsheet, you have the know-how to use it. This course is designed to give you an introduction to basic spreadsheet tools and formulas so that you can begin harness the power of spreadsheets to map the data you have now and to predict the data you may have in the future. Through short, easy-to-follow demonstrations, you’ll learn how to use Excel or Sheets so that you can begin to build models and decision trees in future courses in this Specialization. Basic familiarity with, and access to, Excel or Sheets is required....

Melhores avaliações


Jun 22, 2017

This course has made me understand cost accounting, has provided a fresh perspective on how to solve some of the challenges i had with management accounting and as a bonus, made me love maths again :)


Sep 12, 2017

So many tools that I knew existed and have tried to use the How-To's to learn how they work and until the Prof takes you through them one-at-a-time, they never make sense. Great Stuff!

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301 — 325 de {totalReviews} Avaliações para o Introduction to Spreadsheets and Models

por Matt S

Jul 07, 2017

The questions are poorly worded could better correlate with the lecture.

por Nil D R L

Sep 06, 2016

The course is fine but very short videos and lack deeply explanations.

por HenrietteLan

Sep 21, 2019

Some points (at least those mentioned in the quiz)are not so clear.

por Manuel P G

Dec 23, 2016

It is quite basic and sometimes the quiz can be a little confusing.

por Zhuo Z

Mar 12, 2017

Just wish to have some concept check before taking the quiz.

por Sentanu R

Feb 12, 2017

It was not challenging. Could raise the difficulty a little.

por Ossama Z

Aug 10, 2018

The material is not up to what is explained in the videos.

por Aniruddha D

Oct 08, 2016

The course does not make you learn spreadsheets in detail.

por zhang x

Jun 05, 2019

Questions are just not related...and "Random Generated"

por Patrick K

Feb 20, 2018

quizzes were poorly written but interesting content

por Ifeanyichukwu H N

Aug 02, 2018

Some Quiz questions were a little bit open ended


Dec 29, 2019

Students need more explanation and practice.

por Francisco J S M

Nov 22, 2017

Content is good but not practical enough

por Tomas C d l F

Aug 10, 2016

too superficial in the discussed ideas

por Bei J

Jul 01, 2017

quiz design is extremely confusing

por Hector P

Apr 18, 2016

A bit too basic at the beginning.

por XI R

Feb 13, 2018

Material is not deep enough.

por Viktor L

Mar 23, 2016

Good course overall

por Thomas V

Oct 15, 2018

No implementation

por Yu P Y

Jun 02, 2016

Good introduction


Mar 18, 2016

Poor quize

por Shrenik V Z

Jan 10, 2018


por Orlando C

May 07, 2018

The Wharton School and Penn by extension has taken such tremendous effort to put together a great on-line offering. Some of their finest professors have made some of their rigorous coursework easily accessible via this platform.

This course however is one of the weakest that I have experienced both on this platform and from The Wharton School. The material covered is indeed dry in nature but the lectures - uninspiring - make it more so. The quizzes, designed to test your retention and understanding of material covered are ambiguously worded and not at all helpful in developing skill level around modeling. In more than one case, students are asked to write formulas that can use input data to create an output that will help make a decision. Many correct formulas are not recognized as correct by an overly rigid set of data in the grading system. That creates confusion - not helpful in developing skills.

Words such as "simplify" and "logical" appear in quizzes. These words are subjective, so the "logic" of a student may be different from the "logic" of the professor. Again, creates confusion.

It could be that one of the objectives of the professor is to get the student to think differently about modeling so as not to be overly linear. If that is the case, that is a good objective. However, whatever the objectives are - they are not clear nor directly put.

If you have little experience with financial models you will likely find this course to be both confusing and frustrating. If you have had some exposure to financial models you may find this course to be even more confusing and frustrating.

por Geir E A A

Aug 26, 2018

Unfortunately, I have to say I was disappointed with this course. Especially right after doing the "Foundations to Quantitative Modeling", which held a high standard containing very thorough- and clear instructions. I felt that parts of this course were not explained thoroughly enough which made it feel very "jumpy" and abstract. -This was then later verified in the tests where the question/thought; "did he even go though this?" often arose. Furthermore, the excel sheet that can be opened by oneself, on the side of listening to the videos, or reading the lessons, sometimes didn't fully match the one you saw in the video lesson. -For example; the reference points could be different.

Now I'm hoping the next course is more like the first one, which I very much enjoyed!

por Valentin Z

Sep 23, 2017

Contents of this part of the Specialization looked very promising (especially after a brilliant first part) but in reality this Introduction is shallow, rather monotonous, and I always had a feeling that it's like a patchwork and not something integral. The best part is that it doesn't take too long to complete, and the bulk of the time you spend decyphering the meaning of the questions in quizes (and at least some commentaries in answers would be great because this is not an exact science like math and there are a lot of possibilities for interpretations) . All in all, there are a lot of much more useful courses on Excel for models. I hope that other parts of the specialization will be closer to the 1st one.