Mastering Data Analysis in Excel(으)로 돌아가기

# 듀크대학교의 Mastering Data Analysis in Excel 학습자 리뷰 및 피드백

4.2
별점
3,740개의 평가
904개의 리뷰

## 강좌 소개

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....

## 최상위 리뷰

JE
2015년 10월 30일

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
2020년 10월 13일

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.

필터링 기준:

## Mastering Data Analysis in Excel의 885개 리뷰 중 851~875

교육 기관: Esuene S

2016년 4월 24일

Poorly coordinated lectures. References to resources that are not provided. No response (at least, for days on end) when questions are posted on the forums

교육 기관: Roberto K

2016년 4월 13일

Interesting statistical concepts, and great theory. However, the lectures and the quizzes do not prepare the student well for the final project.

교육 기관: Siamak R

2020년 8월 31일

Not a well structured course at all. There is not much clear explanation on the subjects. You pretty much need to figure it out by yourself.

교육 기관: Ashish G

2021년 7월 18일

A​lthough course is good but not satisfied with frequent updates for which you have to again pay as we had already paid for the course.

교육 기관: Josh H

2017년 12월 15일

Terrible course, almost no focus on Excel and the lectures were incomprehensible. Please redo this class with Dr. Borg teaching it.

교육 기관: Inna G

2020년 11월 17일

not about data analysis in excel, but mostly how to create models, not related to real life and very hard to grasp

교육 기관: Richard C

2015년 11월 11일

Where is the course study material and are you providing a book on this subject and Excel? You have me lost.

교육 기관: Rahul K

2020년 8월 17일

Really bad course, teaches stuff which are very basic and then the tests are really nothing based on that

교육 기관: Aizaz S

2015년 12월 6일

absolutely one of the worst courses... I am deleting it from my list.

no slides make it harder to follow.

교육 기관: Alexey E

2015년 12월 27일

the course neither explains statistics properly, nor teaches how to use excel effectively, disappointed

교육 기관: Elias R F

2016년 9월 15일

This is more of an introduction to statistics lesson than one in excel... not what I had signed up for

교육 기관: Alex B

2017년 2월 6일

Not enough detail and information provided in the lectures to undertake the final assessment.

교육 기관: He Y

2016년 4월 10일

Really confusing and struggled a lot. The course doesn't prepare you for the final project.

교육 기관: Rochelle R

2016년 1월 6일

I would not recommend this course. It was very poorly planned and seemed thrown together.

교육 기관: Lalitha P

2017년 8월 5일

completely not relevant to my educational background. Highly very tough to understand.

교육 기관: Michael K

2016년 12월 3일

if you do not have a background in statistics do not expect to pass this course

교육 기관: Nyrola E

2019년 11월 18일

The second part of week 4 is really confusing . Poor design of the contents.

교육 기관: Nitin P

2015년 12월 12일

Very poor material and instruction videos, with no logical flow or process.

교육 기관: Sankalp D

2020년 8월 23일

Quizzes were different than the lectures. Quizzes were too difficult.

교육 기관: Vipul B

2016년 1월 27일

The course requires good knowledge of statistics as a pre-requisite.

교육 기관: Carolina a P

2020년 6월 16일

Way to much mathematics and not enough Analysis infos

교육 기관: Thomas K

2016년 4월 2일

The course doesn't prepare you for the final project.

교육 기관: Doron P

2020년 8월 29일

the course material is not explained in a good way

교육 기관: Maher M

2015년 12월 19일

im in week 4 , cant master data analysis in Excel

교육 기관: Yuriy G

2016년 7월 13일

Title misleading. Never ever a beginners course.