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Avis et commentaires pour l'étudiant pour Mastering Data Analysis in Excel par Université Duke

4.2
3,011 notes
673 avis

À propos du cours

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....

Meilleurs avis

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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626 - 650 sur 656 Examens pour Mastering Data Analysis in Excel

par Erik B

Feb 11, 2016

Given this is the third (or fourth) iteration of this course, it's telling that the errors from the original release remain in the videos and quizzes. There are other, higher-quality Data Science MOOCs available.

par Al M M M H

Dec 19, 2015

im in week 4 , cant master data analysis in Excel

par Manuel E D L R G

Jun 19, 2017

course is not related to the title

par Josh H

Dec 16, 2017

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

par Thomas N

Feb 22, 2016

Don't be fooled by how detailed and clear the first weeks videos are. The second thru the final weeks are lacking details and explanations and found myself lost during most of the videos. There were even a few typos and errors. Be ready to do a lot independent research and learning from other sources in order to complete the weekly quiz. I was unable to complete the final project of this course due to the lack of knowledge provided by the lecture videos and some of own research. I was hoping to complete the specialization for this, but it doesn't seem like this course provided me with enough to proceed.

** The use of excel on the weekly basis was poorly integrated with the flow of the course.

par Ada M C

Mar 08, 2016

Nimic despre baza excel-ului!

par Roberto K

Apr 13, 2016

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

par Dan L

Jan 22, 2016

In the course info this is described as the first course in the series and that it requires no prior knowledge but the first week quiz contains questions referring to an equation 'discussed in the previous course'.

par Tekla F

May 13, 2018

Very hard.

par Nicole P

Dec 12, 2015

Very confusing lectures, he says you don´t have to have a basic level of excel to do the course but I didn´t find that true. Struggled through all of the lecture videos and the quizzes seemed to come out of left field.

par Aizaz S

Dec 06, 2015

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

no slides make it harder to follow.

par Ketian Y

Feb 21, 2017

Not very helpful for those with a solid statistical background. I prefer to use R to do the modeling things, while this course should talk more about pivot tables and existing useful financial functions which advantage over other statistical tools.

par VS D

Jun 03, 2017

examples are very poor

par Steven A

Mar 30, 2016

The title is very misleading. Excel is an afterthought for this course; instead there is a heavy focus on statistics. The class claims to be for beginners, but that is clearly not the case, as it requires previous knowledge in inferential statistics and calculus.

Excel is hardly used and is certainly not the focus; there are weeks where Excel is not used at all. There are no practice assignments, only quizzes.

It's clear that this course is outdated and poorly maintained, as the videos refer to examples that are not included or content that was not presented.

Needless to say, I will not be taking any other courses in this specialization.

par Alex B

Feb 06, 2017

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

par Dieubon L

Oct 12, 2017

The class could be better

par sagar c

Mar 24, 2016

The course structure is not thoughtfully prepared. There is a lot of confusion around what the instructor wants to say. The practice quizzes and course content have no match whatsoever

par Alexey E

Dec 27, 2015

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

par Mauritz S

Jun 14, 2017

This course has nothing to do with data analysis in excel, but rather the mathematical concepts behind analysis in general. The only thing related to excel are the spreadsheets provided with the videos. Unfortunately, the professor never uses the spreadsheets and actually shows how to build said analysis, but rather just hands them to you and lets you figure it out with 0 guidance.

par Vipul B

Jan 27, 2016

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

par He Y

Apr 10, 2016

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

par Elina L

Feb 10, 2016

Too advanced, not enough Excel

par Thomas K

Apr 02, 2016

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

par Michael M

May 06, 2016

Really wanted to take this class. Unfortunately, I believe it is more about advanced statistics then excel. It was advertised as a beginners class and that is not the case. I recommend having a significant knowledge of statistics before taking this course. I'm a 15 year senior level accounting executive and I was easily spending 10 to 15 hours a week plus watching the videos 3 or 4 times each in order to understand the content. It was very difficult to understand. Disappointing.

par YONG-YU W

Nov 15, 2015

Don't know how to apply the statistics and excel formula in real world situation. Besides, it becomes focus on approving statistics equation than teaching data analysis in excel