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

3,532 évaluations
833 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.


Oct 14, 2020

The course was excellent. A little difficult and overwhelming at times but as long as you stayed the course the professors gave you every opportunity to succeed. Thank you for your time professor.

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276 - 300 sur 812 Avis pour Mastering Data Analysis in Excel


May 09, 2017

Great. Thank you. Keep going

par 马杰

Apr 12, 2016

Great contents and teachers!

par Jessie H

Jun 29, 2020

This course is very useful.

par Subrata K D

Sep 11, 2017

Nice Course. Nice Analysis.


Dec 29, 2017

great course to learn basi

par 顏慷

Sep 18, 2017

Too good to be true course

par Olga

Jun 02, 2016

given very useful material

par Jose J

Dec 20, 2015


par Javier

Jun 13, 2018

Excellent. Unique tools.

par Nusrat J

Nov 23, 2016

really awesome course...

par mikelvol1

Sep 07, 2016


par Sandeep K Y

Feb 04, 2016

Really useful project :)

par Eduardo A H L

Sep 30, 2020

Very usefull excelent !

par Anuoluwapo A

Jul 18, 2020

Very interesting course

par Daniele R

Aug 15, 2019

Very interesting course

par Andrii K

Feb 16, 2016

Hard as hell, liked it.

par Giovanni V

Jan 25, 2016

This is a great course.

par Manoj L

Dec 11, 2015

Very Useful, Eye-opener

par Arjun S

Aug 20, 2019

Very,very informative.

par chel o

Jul 06, 2019

amazing! thank you all

par Kunal M

Jun 26, 2017

course is very helpful

par Haoran L

Dec 20, 2019

Dr. Egger is the best

par Stepan P

Nov 14, 2015

Great Course! Thanks)

par Samir C

Oct 22, 2015

This is just awesome.

par Zhou J

Feb 07, 2016