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

4.2
Sterne
3,094 Bewertungen
701 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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476 - 500 von 683 Bewertungen für Mastering Data Analysis in Excel

von Lieselot D

Jul 17, 2018

The course was challenging and I learnt a lot. Some more practical exercises would have been helpful for me. Now everything came together in the peer graded assignment, where I missed some professional feedback to learn from.

von Nguyễn T B L

Mar 11, 2016

The attendants might already have a good foundation of econometric and probability statistics before taking this course. Some definitions might be difficult to understand especially how it would be applied in real life.

von Hazel H

Dec 29, 2017

so many materials need to read, feel loss patience. but in general, the course is useful. hope can reduce part of the material, no one can stand after 5 or 10 min's video, another 5 or 10 mins reading come along with.

von Yuting W

Aug 05, 2018

The tool and the video don't relate very tight.The tool costs me a lot of time.By the way ,for the Quiz 4, I totally can't get the results for the quiz.I found someone in the discussion met the same problem.

von Skyler M

Aug 04, 2016

This course is very challenging. I may not have had the proper background in mathematics to full absorb the material. Similarly I may have to busy of a lifestyle to have properly focused on this class.

von John E P

Aug 09, 2018

This course was very informative, but in my opinion it has a very steep learning curve. The course takes some very steep jumps from basic concepts to building binary models with out a lot or guidance.

von Dove

Dec 08, 2018

Too much math makes it difficult to comprehend. I like week 1, basic excel also practical and easy to understand. But after week 1 everything becomes super confusing... The frustration is real.

von Qinwei W

Jul 09, 2017

This requries you other mathmatic or stastical background. So when you choose this course, you need check if you have master these knowledge. Otherwise this course will be so hard to you.

von Bader A A

Oct 21, 2019

the data in this course is more as methodology than descriptive, he should have explained more about the real use of methods in data analysis because you will stuck a lot

von Zuoren P

Jun 28, 2016

Quiz does not require hands-on experience of creating templates but rather simply plugging in numbers. Students may forget most of the content after finishing the quiz.

von Mustafa F A

Jul 28, 2019

not easy and enough documents. It does not teach excel. Excel is a bait for the ones who want to learn excel. The name should have been mastering data analysis

von Eduardo L G

Dec 31, 2015

The course gives you interesting analysis tools, but the title suggests you are going to learn new Excel tools, and you actually use it at a very low level.

von kuldeep s

Aug 20, 2016

Getting more theoretical and less practical application on Excel application. Advanced Data interpretation and solving methods information can be included.

von Dat L

Mar 25, 2016

It was hard to follow along with the lessons, because it was mainly present in formulas. More examples might help students relate the information better.

von Runchen L

Aug 23, 2016

Not so good. The course explains mathematical models and Excel applications but both are not detailed. There are many mistakes in PPTs and assignments.

von Luis F

Feb 26, 2018

It is great for learning statistics, but not so much Excel. Also, it doesn't prepare you very well for the final project, so pay attention to class!

von Alejandro A

May 28, 2018

Week 4 is chaotic, it leaves much to be desired. It's quality is far a way from what it could be expected for a course endorsed by Duke University.

von Babajide I

Sep 27, 2016

Course only drilled down on specific aspects of excel that were inclined to regression analysis which is just one aspect used in business analysis

von CHEO Y K

Jan 17, 2016

This course is good, but I feel it's too difficult. It would be good to suggest 'optional' prerequisite course if there is any. Thanks Dr. Egger.

von Yiran Y

Aug 22, 2019

The scribble of the calculation is not helpful for learning. Would like to know more about how to build the models in excel through the videos.

von Abderrahim A

Dec 24, 2016

Good material but short explanation and no detail exercises and solution practices before the final test makes the test a bite hard to resolve.

von Paul J L J

Aug 21, 2017

Needs a more cohesive approach. Topics seems to be unorganized and don't follow a good pattern. Concepts taught are very helpful though.

von 杨珺

Apr 17, 2016

This course has a lot to do with math and statistics and I find it really hard to follow especially when it comes to the final project.

von Shiyun S

Apr 01, 2020

Quiz is very difficult without mentor explainations, lots of stuff wasn't covered in lecture videos. Honestly a very frustrating class

von José L

Oct 12, 2017

The title of this course does not suggest the topics that are covered in this course. Anyway, the topics covered are useful .