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Mastering Data Analysis in Excel に戻る

デューク大学(Duke University) による Mastering Data Analysis in Excel の受講者のレビューおよびフィードバック

4.2
3,090件の評価
700件のレビュー

コースについて

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....

人気のレビュー

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.

フィルター:

Mastering Data Analysis in Excel: 251 - 275 / 681 レビュー

by 嚴楷鈞

Apr 17, 2016

highly recommend

by Adriana B Q

Feb 07, 2016

So far so good!!

by huijuan z

Feb 07, 2016

A great course!!

by rohit v

Feb 06, 2016

its very helpful

by suneet b

Jan 10, 2016

Brilliant course

by Jiarong Y

Jan 04, 2016

挺好的,增加了对excel的认知

by Chen X

Dec 06, 2017

hard but useful

by Rafael M

May 22, 2016

so far, so good

by Paul O

May 17, 2016

Detailed videos

by Tianju C

Nov 12, 2015

Perfect course!

by Squirrel M

Sep 19, 2017

Tough but good

by Abdullah M

Mar 24, 2016

Really helpful

by 何欣

Jan 15, 2016

Very useful!!!

by Liga K

Dec 15, 2015

really helpful

by Manojkumar P H

Jan 04, 2018

super courses

by Ricardo B

Oct 24, 2017

Great course.

by Shuo T

Jun 27, 2017

Great course!

by Lingwei H

May 31, 2017

great course

by Shubham G

Nov 06, 2018

nice course

by ZHUXINGWEN

Nov 02, 2018

very useful

by Christian M

Oct 31, 2017

Excelent!!!

by Bruno H N

Apr 21, 2016

Fantastic!!

by Ibrahima D D

Jan 18, 2016

Great class

by Srinivas B

Oct 26, 2016

Excellent!

by Alexandros I

Apr 21, 2016

Excellent!