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Kursteilnehmer-Bewertung und -Feedback für Mastering Data Analysis in Excel von Duke University

4.2
Sterne
3,102 Bewertungen
704 Bewertungen

Über den Kurs

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....

Top-Bewertungen

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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501 - 525 von 685 Bewertungen für Mastering Data Analysis in Excel

von Harish N V

Apr 04, 2020

A little more emphasis should be given to the explanation of basic concepts so that beginners can also understand it easily.

von Weiliang P

Dec 29, 2015

The whole course has very little about excel, rather about aweful a lot of data models. The course title is very misleading.

von Despoina E

Feb 03, 2016

It's quite interesting, but definitely not a beginners one. I'm put off quite a bit by the exclusively financial examples

von Milan M

Jan 21, 2016

after the second week I droped this course...I thought it will include excel and economics knowledge but was very wrong..

von subramanian a

Jan 09, 2016

The later part of the sessions lacks practical applicability and it is more abstract, that I find difficult to relate

von Rotimi

May 07, 2016

It's too advanced for people with no experience in statistics and sometimes too abstract to relate with

von Camilo E S C

Jan 19, 2020

Really bored... now, I want to change and they charge me more for that. what a bad service, just money

von Izayas R J

Feb 22, 2016

The importance of this course is huge. However, I did miss better explanation from some topics...

von Santiago Y A

Aug 01, 2016

It's more statistics than Excel itself, wich is good but I think the name doesn't fit to it

von Stephanie H

May 25, 2018

this course is to some extent too difficult for me, It is not easy for me to understand.

von VICTOR H Z T

Nov 22, 2015

un poco complicado para mi creo q falta informacion en que apoyarme para los ejercicios

von 王伟

Nov 18, 2015

it is too complicated for me this courese, not very useful for daily work. but anyway i

von Jared V

Feb 10, 2016

This course was over my head academically and I was able to glean very little from it.

von Chris H

Dec 13, 2015

They have a lot of good material. It will probably be better the second time around.

von Jongah K

Nov 02, 2019

not recommend if you want to learn about Excel. More fore stat/analytics in general

von Qian W

May 12, 2016

could have lecture more.... the videos talks little about the spreadsheet provided

von César R

Jul 05, 2016

The order and content of the lessons wasn't planned with sufficient care.

von Sebastiaan B

Aug 17, 2016

The second test should be compulsory for also the non-paying students!

von Steven T

May 16, 2018

The content was very useful but I felt that instruction was lacking

von demehin I

Jan 31, 2016

still needs a better way of explaining the diversity of the course

von Luke R

Apr 06, 2017

Good Course, but final project asks a lot for what this course is

von steven u

Nov 23, 2015

Good intro and fundamentals, but focuses far too much on finance.

von Diogo H M d F T

Jul 07, 2016

Superficial, esboça assuntos de estatística e mal fala do excel.

von 张之晗(ZhiHan Z

Sep 09, 2017

So many terminologies, can you talk those principles concisely?

von cherie

Sep 20, 2016

Very hard to comprehend for 6 weeks. But could have been great.