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듀크대학교의 Mastering Data Analysis in Excel 학습자 리뷰 및 피드백

4.2
stars
3,058개의 평가
686개의 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

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.

필터링 기준:

Mastering Data Analysis in Excel의 667개 리뷰 중 126~150

교육 기관: Eugene T

Dec 20, 2015

Very challenging course that is very insightful in the use of Excel for Data Analysis

교육 기관: Prem S S

Oct 21, 2015

please give some mechanism to refer my friends to this course from the website itself

교육 기관: Hari T

Oct 23, 2015

great experience with great faculties and learning basics with smart ways thank you

교육 기관: Isaiah K A

Nov 25, 2016

Great course for applying real word scenarios with analytical tools such as Excel.

교육 기관: Felix A R

Jun 03, 2016

Easily and fun learning for novice learners as well as non-mathematics background.

교육 기관: Gaurav s

Sep 27, 2018

Excellent course. Learnt the basics of model building in a very practical manner

교육 기관: Chang L

Nov 07, 2017

great course, the final project is really hard but I can really learn something.

교육 기관: Nikhil S

Aug 09, 2016

I would like to recommend for every beginner who wants to learn data analytics!

교육 기관: Maycon O F

Dec 12, 2016

Such a good course to learn about data analysis and statistics by using Excel!

교육 기관: Zihui W

Aug 09, 2016

Awesome course to take if you want to be proficient with basic usage of Excel

교육 기관: Gustavo H M

May 22, 2018

Maybe the name could be another, but except for that it's a great course!

교육 기관: Rajat K

Apr 06, 2019

great course got great knowledge about the models used for data analysis

교육 기관: igor s

Mar 23, 2018

Thank you very much for this course, although it is may too difficult.

교육 기관: Tanmay S

Dec 10, 2015

Very good those who want make their career in business analytic field

교육 기관: Masba

Nov 28, 2015

This is very essential course for the analysis of data using MS Excel

교육 기관: Tamerlan I

Jan 01, 2020

Great class to learn binary classification and prediction estimate.

교육 기관: Li T

Jan 01, 2016

very useful, but hopefully, there will be some slides for learning.

교육 기관: Pedro A L M

Mar 08, 2016

I really recommend this course. Very useful!!

Perfectly explained.

교육 기관: Jianhui B

Oct 16, 2017

I like the supplemental materials, which are all very helpful!

교육 기관: Jean-Christian M O

Feb 22, 2016

Great course. Relevant ad practical examples and case studies.

교육 기관: Sanni f O

Jul 28, 2017

Great course. Can't wait to complete the whole specialization

교육 기관: JOSE M A A

Feb 04, 2016

I thank Prof. Daniel for the clear exposition of the course.

교육 기관: Erin C

Jan 25, 2016

very practical course with understanding of business context

교육 기관: Daniel M

Jan 23, 2016

great statistic refresher and hands-on experience with excel

교육 기관: Partha G

Dec 04, 2015

Great knowledge to build your own equity in decision making.