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Opiniones y comentarios de aprendices correspondientes a Mastering Data Analysis in Excel por parte de Universidad Duke

4.2
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3,094 calificaciones
701 revisiones

Acerca del Curso

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....

Principales revisiones

JE

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.

NC

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 de 683 revisiones para Mastering Data Analysis in Excel

por JuanEnCoursera

Dec 04, 2016

Very good course

por charu

Jul 15, 2016

very nice stuff.

por Kuljeet K

May 27, 2016

Very good course

por 嚴楷鈞

Apr 17, 2016

highly recommend

por Adriana B Q

Feb 07, 2016

So far so good!!

por huijuan z

Feb 07, 2016

A great course!!

por rohit v

Feb 06, 2016

its very helpful

por suneet b

Jan 10, 2016

Brilliant course

por Jiarong Y

Jan 04, 2016

挺好的,增加了对excel的认知

por Chen X

Dec 06, 2017

hard but useful

por Rafael M

May 22, 2016

so far, so good

por Paul O

May 17, 2016

Detailed videos

por Tianju C

Nov 12, 2015

Perfect course!

por Squirrel M

Sep 19, 2017

Tough but good

por Abdullah M

Mar 24, 2016

Really helpful

por 何欣

Jan 15, 2016

Very useful!!!

por Liga K

Dec 15, 2015

really helpful

por Manojkumar P H

Jan 04, 2018

super courses

por Ricardo B

Oct 24, 2017

Great course.

por Shuo T

Jun 27, 2017

Great course!

por Lingwei H

May 31, 2017

great course

por Shubham G

Nov 06, 2018

nice course

por ZHUXINGWEN

Nov 02, 2018

very useful

por Christian M

Oct 31, 2017

Excelent!!!

por Bruno H N

Apr 21, 2016

Fantastic!!