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

3,833 évaluations
932 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


16 nov. 2021

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


30 oct. 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.

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576 - 600 sur 913 Avis pour Mastering Data Analysis in Excel

par Ravindra K

22 août 2021

Binary classification explanation should be more elaborated.

par Dayoung K

24 nov. 2017

It's a productive course but there are quite tough projects.

par Andreas H

28 août 2017

The instructions for some of the exercises could be clearer

par Derek

28 mars 2016

Good course. Wish it was more hands on working with excel.

par Irene A

16 janv. 2016

Clear and useful. But you need a text book to this course.

par Ioannis B

6 sept. 2017

Good course, I would expect more in terms of modelling

par CC Y

5 janv. 2022

It's too hard for students who never majored in math.

par Colin R

2 avr. 2018

Really enjoyed this course - thank you Mr Egger !!

par Oleg L

28 mai 2017

Interesting introduction to classification. Thanks!

par Eugenio A R G

31 mai 2016

It's just not only mostly data analysis.

par Diana J

9 févr. 2021

Necesita más explicaciones en algunos ejercicios.

par Yuduan L

5 nov. 2015

A bit very difficult course...full of formula

par Aadithya V

31 août 2016

A great course to learn excel for analytics.


31 juil. 2021

It is genuinely a very informative course

par Kafu A

3 mars 2016

Great course, just a little too technical

par Tonio D L V

21 déc. 2016

very very interesting and well explained

par David A K

9 mars 2021

Very interesting and insightful course.

par ابو ا م س ا

30 oct. 2019

كورس جيد جدا واستفدت منه شكرا كورسيرا

par Himanshu B

17 oct. 2015

Exceptionally good.great experience.

par Subhabrata G

2 mai 2016

very good - step by step and clear.

par ZoeyHexu

25 juin 2016

not easy but rather clear speech

par Cherry Z

20 janv. 2018

purely fundamental mathematics

par Shubham

11 sept. 2018

Wonderful learning experience

par Harold

29 sept. 2016

Too difficult for a beginner

par Julien H J

24 févr. 2016

Not exactly for business use