Chevron Left
Mastering Data Analysis in Excel(으)로 돌아가기

듀크대학교의 Mastering Data Analysis in Excel 학습자 리뷰 및 피드백

4.2
별점
3,772개의 평가
911개의 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 892개 리뷰 중 401~425

교육 기관: Jagmohan M

2018년 12월 28일

Great !

교육 기관: Liu Y

2017년 10월 29일

like it

교육 기관: Cristian D A

2015년 12월 13일

GREAT!!

교육 기관: Pramit A M

2015년 11월 2일

Awesome

교육 기관: ABHISHEK K

2021년 8월 18일

g​reat

교육 기관: Jose C S M

2016년 2월 11일

Great!

교육 기관: Marica C

2015년 12월 13일

Great!

교육 기관: HUILIN M

2015년 12월 2일

useful

교육 기관: Raghav D

2021년 8월 28일

great

교육 기관: DAMPANABOINA S

2020년 11월 28일

nice

교육 기관: Arya s

2020년 10월 28일

Best

교육 기관: Md. R Q S

2020년 10월 10일

good

교육 기관: Dishant P

2020년 2월 12일

Nice

교육 기관: Chirag K

2019년 9월 27일

Good

교육 기관: Meenal C

2018년 12월 5일

ccol

교육 기관: Bharath M

2017년 7월 4일

good

교육 기관: Кирилл

2017년 4월 7일

Nice

교육 기관: Kyle A

2016년 2월 22일

Ver

교육 기관: Malgorzata P

2016년 2월 10일

:)

교육 기관: ISHAAN S

2021년 7월 27일

-

교육 기관: Michal K

2017년 10월 7일

V

교육 기관: winnielou

2016년 10월 24일

k

교육 기관: Al S

2015년 12월 16일

e

교육 기관: Tania K

2015년 12월 8일

.

교육 기관: Madeline K

2021년 3월 16일

This was a good course for anyone looking to learn advanced excel analytics techniques. I learned a lot and the quizzes and final project give sufficient hands on practice to go along with the videos.

The reason I am not giving this course 5 stars is because there were times when the instructor rushes through some of the concepts in the course. I had a hard time following along at times and had to do a lot of reading in the forums to understand how to complete the final project. I would not rate this as a beginner course, these are advanced data analytics techniques requiring using calculus and statistics in excel. There are also some errors in the quizzes and I found that the course mentors are not super active in the forums -- many of their posts and tips being from 3-4 years ago.

All that said, I don't want my review to deter folks from taking this course. I learned a lot and I feel very accomplished that I completed it and I am walking away with a thorough understanding of the topics. I'd still recommend this course to anyone who is willing to put in extra hours outside of the course to do your own research, spend time with the spreadsheets, and use the forums.