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Avis et commentaires pour d'étudiants pour Mastering Data Analysis in Excel par Université Duke

3,377 évaluations
787 avis

À propos du cours

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....

Meilleurs avis


Oct 31, 2015

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.


Dec 20, 2016

Overall, the course material is good with many example. Need a general knowledge with mathematical and statistical from the beginning to pass the exam, because course slide is a little bit fast.

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326 - 350 sur 767 Avis pour Mastering Data Analysis in Excel

par Christian M

Oct 31, 2017


par Bruno H N

Apr 21, 2016


par Ibrahima D D

Jan 18, 2016

Great class

par Srinivas B

Oct 26, 2016


par Alexandros I

Apr 21, 2016


par Pedro h d V A

Jan 04, 2016

So useful!

par Abhinandan S

May 16, 2020


par Saman S

Nov 10, 2019


par Juan C D O

Jun 23, 2016


par Fidel B

Mar 28, 2016


par Valeria M G R

Mar 11, 2016


par Simran K

Dec 18, 2015

Great one

par Paula T B

Oct 21, 2015


par Sirsendu S

Jul 30, 2017

loved it

par Artem A

Apr 14, 2016


par Franco A M A

Jan 11, 2016


par Monica C M

Dec 27, 2015


par AshQiu

Nov 28, 2019



Oct 30, 2019


par Jagmohan M

Dec 28, 2018

Great !

par Liu Y

Oct 29, 2017

like it

par Cristian D A

Dec 13, 2015


par Pramit A M

Nov 02, 2015


par Jose C S M

Feb 11, 2016


par Marica C

Dec 13, 2015