Вернуться к Mastering Data Analysis in Excel

4.2
звезд
Оценки: 3,844

## О курсе

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....

## Лучшие рецензии

TB

16 нояб. 2021 г.

I like and appreciate courses provided through Coursera.This course is very interesting and valuable for those whose jobs do have relevance with data management .God bless Coursera and Duke University

JE

30 окт. 2015 г.

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.

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## 876–900 из 916 отзывов о курсе Mastering Data Analysis in Excel

автор: Dan L

22 янв. 2016 г.

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'.

автор: E B

11 февр. 2016 г.

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.

автор: Abhiroop B

18 апр. 2020 г.

The Audio is not audible properly and the course material is not explanatory. The content and the quizzes or tasks dont add up. I had to often refer to google to find the modeling ideas.

автор: sagar c

24 мар. 2016 г.

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

автор: 吳詠妤

14 нояб. 2015 г.

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

автор: Iselie I

10 авг. 2016 г.

En mi opinion es un tema muy interesante sin embargo cuesta entender lo que el profesor está diciendo por lo que es muy dificil llevar el ritmo del material...

автор: Esuene S

24 апр. 2016 г.

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

автор: Roberto K

13 апр. 2016 г.

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

автор: Siamak R

31 авг. 2020 г.

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.

автор: Ashish G

18 июля 2021 г.

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.

автор: Josh H

15 дек. 2017 г.

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

автор: Inna G

17 нояб. 2020 г.

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

автор: Richard C

11 нояб. 2015 г.

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

автор: Rahul K

17 авг. 2020 г.

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

автор: Aizaz S

6 дек. 2015 г.

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

no slides make it harder to follow.

автор: Alexey E

27 дек. 2015 г.

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

автор: Elias R F

15 сент. 2016 г.

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

автор: Alex B

6 февр. 2017 г.

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

автор: He Y

10 апр. 2016 г.

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

автор: Rochelle R

6 янв. 2016 г.

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

автор: Pavani V

5 авг. 2017 г.

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

автор: Michael K

3 дек. 2016 г.

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

автор: Nyrola E

18 нояб. 2019 г.

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

автор: Nitin P

12 дек. 2015 г.

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

автор: Sankalp d

23 авг. 2020 г.

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