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.
ペンシルベニア大学（University of Pennsylvania）
The University of Pennsylvania (commonly referred to as Penn) is a private university, located in Philadelphia, Pennsylvania, United States. A member of the Ivy League, Penn is the fourth-oldest institution of higher education in the United States, and considers itself to be the first university in the United States with both undergraduate and graduate studies.
- 5 stars50.29%
- 4 stars27.05%
- 3 stars13.79%
- 2 stars5.54%
- 1 star3.31%
INTRODUCTION TO SPREADSHEETS AND MODELS からの人気レビュー
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 :)
Would give this course 5 stars to be honest. It's just that the lecture slides are not informative enough (only course outlines are there) & look like they weren't made seriously.
It is very good course. however The lecture should explain the type of model more specifically or the PDF file should be more content. Esp for non-native speaker student like me.
The course was exceptional. I learnt a lot about excel and google sheet from this course. The instructor has been very smooth and clear in teaching his concepts. I am deeply grateful.