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

3,463 évaluations
810 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.


Dec 20, 2016

Overall, the course material is good with many example. Need a general knowledge with mathematical and statistical from the beginning to pass the exam, because course slide is a little bit fast.

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251 - 275 sur 789 Avis pour Mastering Data Analysis in Excel

par Charulata S

Mar 29, 2020

It was a great learning experience!

par Tataru A A

May 07, 2020

We sincerely thank the teachers!!!

par Liwei K

Dec 06, 2015

it's my first course on coursera .

par Oscar D

Sep 16, 2020

Excellent course! Great teacher!!

par Oscar E Q E

Jun 01, 2018

it is the great course ¡¡¡¡¡¡¡¡¡¡


Mar 31, 2016

Easy understanding and practical.

par Stevie X Y

Mar 23, 2016

Good content but badly structured

par 何玉杉

Nov 06, 2018

The course is very useful to me!

par Mikhail P

Jun 18, 2018

Wonderful course in all aspects!

par Athanasios K

Jul 25, 2017

Amazing and Very tough Course!!!

par Elena D

Jul 03, 2017

Really good and complete course.

par Oscar R

Jan 09, 2016

Very good teachers/instructors.

par Marcelo A S

Oct 29, 2015

Exactly what I was looking for!

par Celine S

Mar 14, 2016

learn lots of practical things

par AIDA B S H

Nov 09, 2015


par Andres F G P

Dec 03, 2017

Very good learning experience

par Tewende J E K

Aug 03, 2016

We learn a lot in this course

par Ashish K R

May 12, 2020

your lectures were the best.

par Mark S

Feb 28, 2020

Great instruction and exams!


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