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

3,517 évaluations
828 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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301 - 325 sur 808 Avis pour Mastering Data Analysis in Excel

par Meet M L

Sep 05, 2019

Excellent detailing

par RUSI L

Apr 27, 2017

Very useful course.


Jan 15, 2016

good course for all

par Armaghan

Dec 15, 2015

very good training.

par Phoebe K

Jul 02, 2018

very insightful!!!

par Dengjiahao

Feb 09, 2016

Very good Courses!

par Luis M G

Nov 23, 2015

Excelente temario!


Sep 04, 2018

So cool course :)

par Alok S

Aug 18, 2016

Good Presentation

par Kyriaki B

Feb 12, 2016

Very interesting!

par Sultan A

Feb 09, 2016

Very nice course.

par Rega V

Nov 21, 2015

Really Help me :)


Oct 29, 2019

Excellent course

par Muhammad b A

Aug 24, 2017

Very challenging

par JuanEnCoursera

Dec 04, 2016

Very good course

par charu

Jul 15, 2016

very nice stuff.

par Kuljeet K

May 27, 2016

Very good course

par 嚴楷鈞

Apr 17, 2016

highly recommend

par Adriana B Q

Feb 07, 2016

So far so good!!

par huijuan z

Feb 07, 2016

A great course!!

par rohit v

Feb 06, 2016

its very helpful

par suneet b

Jan 10, 2016

Brilliant course

par Jiarong Y

Jan 04, 2016


par Chen X

Dec 06, 2017

hard but useful

par Rafael M

May 22, 2016

so far, so good