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Mastering Data Analysis in Excel に戻る

デューク大学(Duke University) による Mastering Data Analysis in Excel の受講者のレビューおよびフィードバック



Important: The focus of this course is on math - specifically, data-analysis concepts and methods - not on Excel for its own sake. We use Excel to do our calculations, and all math formulas are given as Excel Spreadsheets, but we do not attempt to cover Excel Macros, Visual Basic, Pivot Tables, or other intermediate-to-advanced Excel functionality. This course will prepare you to design and implement realistic predictive models based on data. In the Final Project (module 6) you will assume the role of a business data analyst for a bank, and develop two different predictive models to determine which applicants for credit cards should be accepted and which rejected. Your first model will focus on minimizing default risk, and your second on maximizing bank profits. The two models should demonstrate to you in a practical, hands-on way the idea that your choice of business metric drives your choice of an optimal model. The second big idea this course seeks to demonstrate is that your data-analysis results cannot and should not aim to eliminate all uncertainty. Your role as a data-analyst is to reduce uncertainty for decision-makers by a financially valuable increment, while quantifying how much uncertainty remains. You will learn to calculate and apply to real-world examples the most important uncertainty measures used in business, including classification error rates, entropy of information, and confidence intervals for linear regression. All the data you need is provided within the course, all assignments are designed to be done in MS Excel, and you will learn enough Excel to complete all assignments. The course will give you enough practice with Excel to become fluent in its most commonly used business functions, and you’ll be ready to learn any other Excel functionality you might need in the future (module 1). The course does not cover Visual Basic or Pivot Tables and you will not need them to complete the assignments. All advanced concepts are demonstrated in individual Excel spreadsheet templates that you can use to answer relevant questions. You will emerge with substantial vocabulary and practical knowledge of how to apply business data analysis methods based on binary classification (module 2), information theory and entropy measures (module 3), and linear regression (module 4 and 5), all using no software tools more complex than Excel....



I like and appreciate courses provided through Coursera.This course is very interesting and valuable for those whose jobs do have relevance with data management .God bless Coursera and Duke University


The course deserves a 5-star rating because: (1) content is relevant, (2) the professor is concise and possesses great teaching skills, and (3) the learning modules are applicable to daily problems.


Mastering Data Analysis in Excel: 701 - 725 / 901 レビュー

by tressie p


it seems like there need to be some prerequisities to this class, like finance.

by Samhita A


It was a bit too fast and there is a lot of math formulas than I expected

by César R


The order and content of the lessons wasn't planned with sufficient care.

by Alice S


A bit hard to underttand fully. Need more demostration and explaination.

by Sebastiaan B


The second test should be compulsory for also the non-paying students!

by sobhy k


I think it is a course in statistics, there are many missing concepts

by Steven T


The content was very useful but I felt that instruction was lacking

by demehin I


still needs a better way of explaining the diversity of the course

by Luke R


Good Course, but final project asks a lot for what this course is

by steven u


Good intro and fundamentals, but focuses far too much on finance.

by Diogo H M d F T


Superficial, esboça assuntos de estatística e mal fala do excel.

by 张之晗(ZhiHan Z


So many terminologies, can you talk those principles concisely?

by cherie


Very hard to comprehend for 6 weeks. But could have been great.

by Bernhard K


Way too theoretical. This is Excel, not Information Theory....

by Ernesto R


Not enough practices for the unexperienced students.

by Scott R


Definitely way more statistics than I expected.

by Neelam M


inclination was more towards concept than excel



Tough Course.. Need Mathematical Background

by Yohann B


good, but no material and lack of structure

by Ricardo C


Too much theory and no excel learings.

by Reiko M


Not so comfortable with using Excel.

by Sundeep g


It was great to have this course.

by Hao C


Not so relevant with real work.

by Joseph M


It was an interesting course.

by Carlos S C


Final project really hard