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

4.2
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3,842 évaluations

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

TB

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

JE

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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401 - 425 sur 916 Avis pour Mastering Data Analysis in Excel

par Valeria F

•

10 mars 2016

Excellent

par simran k

•

18 déc. 2015

Great one

par Paula T B

•

21 oct. 2015

Excellent

par Anil K

•

31 août 2020

too good

par sirsendu s

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30 juil. 2017

loved it

par Artem S A

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14 avr. 2016

Noiiice!

par Franco M

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11 janv. 2016

amazing!

par Mónica C

•

27 déc. 2015

Awesome!

par Hector G

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4 sept. 2020

perfect

par AshQiu

•

27 nov. 2019

awesome

par Linda A L

•

30 oct. 2019

Exel'nt

par Jagmohan M

•

28 déc. 2018

Great !

par Liu Y

•

29 oct. 2017

like it

par Cristian D A

•

13 déc. 2015

GREAT!!

par Pramit A M

•

2 nov. 2015

Awesome

par ABHISHEK K

•

18 août 2021

g​reat

par Jose C S M

•

11 févr. 2016

Great!

par Marica C

•

13 déc. 2015

Great!

par HUILIN M

•

2 déc. 2015

useful

par Raghav D

•

28 août 2021

great

par DAMPANABOINA S

•

28 nov. 2020

nice

par Arya s

•

28 oct. 2020

Best

par Md. R Q S

•

10 oct. 2020

good

par Dishant P

•

12 févr. 2020

Nice

par Chirag K

•

27 sept. 2019

Good

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