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

4.2
étoiles
3,059 évaluations
686 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

##### JE

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.

##### NC

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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## 651 - 668 sur 668 Avis pour Mastering Data Analysis in Excel

par Nyrola E

Nov 18, 2019

The second part of week 4 is really confusing . Poor design of the contents.

par Nitin P

Dec 12, 2015

Very poor material and instruction videos, with no logical flow or process.

par Vipul B

Jan 27, 2016

The course requires good knowledge of statistics as a pre-requisite.

par Thomas K

Apr 02, 2016

The course doesn't prepare you for the final project.

par Al M M M H

Dec 19, 2015

im in week 4 , cant master data analysis in Excel

par Yuriy G

Jul 13, 2016

Title misleading. Never ever a beginners course.

par Ivan F F R

Nov 27, 2015

Seria genial si tuviera traducciones al español

par Albi K

Jan 03, 2020

Explanation is poor, no feedback on Quizes.

par Jason T

Jun 12, 2017

This was more a statistics course than a

par влад

May 24, 2016

It is very easy and unusefull course.

par Manuel E D L R G

Jun 19, 2017

course is not related to the title

par thomas

Sep 07, 2017

way to much math, not practical.

par Elina L

Feb 10, 2016

Mar 08, 2016

Nimic despre baza excel-ului!

par Dieubon L

Oct 12, 2017

The class could be better

par VS D

Jun 03, 2017

examples are very poor

par Tekla F

May 13, 2018

Very hard.

par Steven

Dec 03, 2015