Chevron Left
Mastering Data Analysis in Excel(으)로 돌아가기

듀크대학교의 Mastering Data Analysis in Excel 학습자 리뷰 및 피드백

4.2
별점
3,705개의 평가
893개의 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
2015년 10월 30일

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.

PW
2020년 10월 13일

The course was excellent. A little difficult and overwhelming at times but as long as you stayed the course the professors gave you every opportunity to succeed. Thank you for your time professor.

필터링 기준:

Mastering Data Analysis in Excel의 874개 리뷰 중 626~650

교육 기관: AASHISH P

2020년 12월 5일

This course very useful for people who are looking to make a career in Data analysis. It is quite difficult to understand the course for beginners as the teaching could have been in more easy language.

교육 기관: Skyler M

2016년 8월 4일

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.

교육 기관: John E P

2018년 8월 9일

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.

교육 기관: Pylo N

2020년 10월 24일

The course is not bad, however, the final assignment is not explained sufficiently. Instructors should provide a more clear approach and information given that this course is for beginners as well!

교육 기관: Dove

2018년 12월 7일

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.

교육 기관: Qinwei W

2017년 7월 9일

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.

교육 기관: Andrés A S N

2020년 7월 14일

The concepts that this course offers are extremely interesting and useful, however I think some of them are not fully explained, so you might have to do more research on your own.

교육 기관: Bader A A

2019년 10월 21일

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

교육 기관: Ketaki N

2020년 7월 26일

Lectures were good, but directions and guidance for quizzes and project had some knowledge gaps, had to utilize outside resources to understand complete certain concepts

교육 기관: Zuoren P

2016년 6월 28일

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.

교육 기관: Вера З

2020년 6월 24일

The course is good, but in some aspects over-complicated. I requires deep understanding in statistics and give not many insight regarding the Excel functionality

교육 기관: Mustafa F A

2019년 7월 28일

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

교육 기관: Eduardo L G

2015년 12월 31일

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.

교육 기관: kuldeep s

2016년 8월 20일

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

교육 기관: Dat L

2016년 3월 25일

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.

교육 기관: Apostolos Z

2020년 6월 29일

Nice working material, however lectures don't go into deep, so you have to do a lot of research on your own and figure out what's going on in many cases

교육 기관: Runchen L

2016년 8월 22일

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

교육 기관: Isabel F

2020년 7월 23일

I think that this course was a great overview, but it wasn't that clear on how it all tied together and i don't think there was enough practice given.

교육 기관: Luis F

2018년 2월 26일

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!

교육 기관: Alejandro A

2018년 5월 28일

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.

교육 기관: Babajide I

2016년 9월 27일

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

교육 기관: Bharath P R

2020년 6월 20일

I found it difficult to understand some concepts and felt like some of the concepts required for some assignments were not covered deeply enough.

교육 기관: CHEO Y K

2016년 1월 17일

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.

교육 기관: Steve A

2021년 3월 26일

The course is good. However, the name might be slightly misleading since the major emphasis is on statistics and probability, rather than Excel.

교육 기관: Yiran Y

2019년 8월 22일

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.