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

4.2
étoiles
3,559 évaluations
842 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
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.

PW
13 oct. 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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201 - 225 sur 822 Avis pour Mastering Data Analysis in Excel

par Tanmay S

10 déc. 2015

Very good those who want make their career in business analytic field

par Masba

28 nov. 2015

This is very essential course for the analysis of data using MS Excel

par Tamerlan I

1 janv. 2020

Great class to learn binary classification and prediction estimate.

par Li T

1 janv. 2016

very useful, but hopefully, there will be some slides for learning.

par Jeyhun N

24 juin 2020

well organized, only was missing more details of specific problems

par Pedro A L M

8 mars 2016

I really recommend this course. Very useful!!

Perfectly explained.

par Deleted A

16 oct. 2017

I like the supplemental materials, which are all very helpful!

par Jean-Christian M O

22 févr. 2016

Great course. Relevant ad practical examples and case studies.

par Sanni f O

28 juil. 2017

Great course. Can't wait to complete the whole specialization

par JOSE M A A

3 févr. 2016

I thank Prof. Daniel for the clear exposition of the course.

par Erin C

24 janv. 2016

very practical course with understanding of business context

par Daniel M

22 janv. 2016

great statistic refresher and hands-on experience with excel

par Partha G

3 déc. 2015

Great knowledge to build your own equity in decision making.

par Ming J

9 nov. 2016

Really great! Things taught in this course are useful.

par Shuang G

22 déc. 2015

Very good! Useful for both new learners and expertise.

par Sebastián O

17 déc. 2016

Muy buen curso para iniciarse en modelado estadístico

par Ian J

2 févr. 2016

Excellent instruction/instructor and great templates.

par TrinaA

16 avr. 2020

Very challenging class - I learned a lot! Thank you!

par Kubra K S

21 sept. 2016

Egger is very well instructor. The course is useful.

par Aysharjo H

28 mars 2019

really helped me understand the material for my job

par Rezaan H

29 sept. 2018

Good content, broad and well tested but definitely

par María I B

5 déc. 2016

Excelentes tutoriales y muy interesante el temario

par matthewcs

17 juin 2016

Great - the maths section was actually educational

par Alfred H

11 févr. 2016

Clear, concise and clean communication! Thank you!

par Hang S

7 févr. 2016

Awesome!However, you need knowledge of statistics.