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 51~75

교육 기관: Benjamin C

2015년 12월 2일

Warning: The lecture videos along will NOT be enough to prepare you for the final assignment! Be prepared to do your own research for the extra study materials. On the forum, many students said they had to drop out during the last week (probably without getting a refund!) because they were completely caught off guard by the huge knowledge gap between lectures and the final assignment. If you are determined to get the specialization certificate, you should definitely start the final assignment as early as possible. Don't wait until the last week or two!!

교육 기관: aaron m

2019년 7월 23일

Completely disorganised. You will be tested on material BEFORE you take the lesson teaching it, making you question your ability. The outline they provide for the order you should take the materials is completely wrong. If you want to learn by a guy scribbling quickly and messily with little in depth explanation about the concepts he teaches, go ahead and take this. Otherwise, avoid at all costs. Also, you learn nothing about using excel to perform data analysis, just given templates with no explanation on how they work.

교육 기관: Fabio P

2020년 4월 24일

There is no Excel here but a lot of theoretical and statistical topics that really make the lessons impossible to be understood if you don't have the appropriate background. At a certain stage, if you want to continue, you need to spend a lot of time to catch up trying to find on line what the trainer is talking about.

It is a pity because I used Coursera already and I was happy with their courses, but not in this case

교육 기관: lu z

2020년 12월 23일

The name of this course is excel,but from week2 to the final week, you almost can not see excel any more.All things are related to maths or statistics.At first, I think it is a practical course, but finally I find that it is totally not.Frankly speaking, I am very disappointed .In the end , do not waste time and money on this course.You deserve something better.

교육 기관: Rob N

2015년 12월 23일

If I could give it less than 1 star, I would. It wasn't an Excel class, rather it was a targeted business statistics class with only disjointed lectures and no benefit of textbook to actually help you learn. Lots of errors in the lectures and tests, and little to no support from course staff. Stay away! You won't regret it.

교육 기관: Peter C

2020년 4월 27일

I aced the first two weeks. It was recommended that I finish the first quiz of the final module. The information from the first two weeks would be fresh in my mind. I attempted the quiz, and encountered problems I was in no way prepared for.

교육 기관: Bin W

2020년 9월 23일

I am pretty sure that there are a lot of people who have problems with this course.

It's hard to utilize the things we learn from video for test...

교육 기관: Weston A

2021년 2월 22일

lots of mistakes and errors, and videos are not enough to complete all the coursework

2016년 8월 17일

Though the Course name is Mastering Data Analysis in Excel. This course will take you beyond Excel mastering skills. Quite a Short Course compare to amount of Statistical and Probability concepts you learn. This course covers most of the concepts and models necessary for any Data Analyst & Data Science students and Professionals. This course is quite challenging and at times frustrating and time consuming but in the end you will feel you learnt something what you don't know. It will be worth your effort.If you don't know something what you don't know. Here is the course, it is an accelerated course. You many not master all of them, you will master some, I can assure any future students Professor will give all the information and concepts that you need to master. Even after completing the exam I keep repeating and going back to videos and notes which is really valuable.

교육 기관: Rod S

2016년 9월 6일

This course isn't for the faint hearted, you need a decent background in statistics, intermediate mathematics and good grounding in excel. All of these are covered well in the course but there's a lot to take in and I can imagine it being quite tough for those not so familiar. That said, the topics, examples and tools provided are exactly those required to build a good foundation in Business Analytics and I imagine, Data Science. Prof. Egger as always, delivers the course with great aplomb and shares his considerable knowledge in a wise but unassuming manner. Highly recommended.

교육 기관: Ryan V

2015년 12월 29일

I learnt a lot from this course. The first week seemed very straight forward and I was worried the course was a bit too rudimentary. From there it stepped up four or five gears and I had to work hard to reinforce the concepts and apply the concepts.

A really great course for any analyst or anyone seeking the true insight in data. The discussion board is a wealth of knowledge and a good read with tutors posting very plain english easier to understand answers to questions.

2017년 6월 28일

I got to learn life skills that are essential for a data analyst. The biggest addition to my knowledge via this course would have to be binary classification and entropy. Although I was familiar with the theory of probability and statistics prior to taking this course, everything was brought into perspective or context in this course. Grateful to Prof. Egger for his enoromous efforts in recording the videos and providing the spreadsheets for our practice and future use.

교육 기관: Volney P

2017년 6월 25일

This Course is awesome!

It is incredible how some concepts clearly defined and put into practice turn into a a powerful tools for data analysis... like binary classification models, confusion matrix, bayes theorem.

I am really enjoying this course... I highly recommended to everyone... thanks a lot professor Daniel Egger for sharing your knowledge with us, Coursera and Duke University for making this course available...

Hungry for more...

Volney Poulson

교육 기관: Swetha J

2015년 11월 22일

Very good course. Loved Daniel's teaching. I have a request to make coming from healthcare/ lifesciences background and a starter to analytics it would be very very helpful if Daniel can include basic/ elementary videos on probability and statistics/ Bio-Statistics in this course to enable us to go deeper.

Else a separate course on BioStatistics and probability would be WOW. Looking forward for more courses from Daniel.

Thanks,

Swetha

교육 기관: Sanal K

2021년 4월 20일

I believe this is a great course for beginners in data science like me. I really loved the content of the course, presented with so many examples and prof Daniel Egger and his team has done a great job. I must admit that I did not understand many of the videos or concepts at first go, I had to do my share of background reading for every week. Once that is done, I guess you can takeaway so much more from these classes.

교육 기관: Md. H I S

2017년 5월 28일

Excellent!!!

Its has so many things to learn; from understanding the data analysis process to building actual models. This course definitely laid the foundation of basic understanding and implementation of making decision thorough data analysis.

I would recommend this course to whoever is interested in learning data analysis or is involved in rational decision making through the data analysis.

교육 기관: Lucia A I

2020년 10월 12일

I liked the teaching methods and the content. You don't have to be an expert at Excel, but it requires certain experience in data analysis, algebra, and statistics, so you don't get lost when studying the content. I have an engineering's degree, so I'm not an expert in the topic, but I was interested and I feel satisfied with the knowledge I obtained and the challenges in the final project.

교육 기관: Pavel K

2018년 8월 23일

This course really improved my modelling and analysis skills. Apart from basic excel tools it gives an overview on very powerful statistic/predictive instruments. Statistics, probability theory, binary classification are taught in very exciting and easy to perceive way. Course project was not easy, but it took me to the next level of understanding. I cannot recommend this course more!

교육 기관: Nicolas E

2016년 6월 10일

Very important course if you want to know more about data analysis. Fascinating materials (Markowitz optimisation, linear regression, information gain, binary classification...) with both theoretical and practical aspects! In spite the fact you won't learn much about VBA skills, this course will definitely give you a very good basis for addressing any data analysis problem with Excel.

교육 기관: Karen H

2016년 1월 22일

Very informative, and very challenging! The final project really challenges you to pull all of the concepts together in a real-world situation. That process helped solidify my understanding of the concepts.

Would have liked to have had more explanation on linear regression, but overall everything was great. I have a much more concrete understanding of the basics of data modeling.

교육 기관: Jason M

2016년 2월 22일

Frankly speaking, this course is a little bit hard for me although I have studied them during my master programs. There are many formulas in the course and hardly to remember in short time. I had to review the videos several times. I'd like to recommend the professor may summarize such fomulas in one page so it's more easy to students to catch up the course.

교육 기관: Hichem D

2021년 3월 9일

I loved this course, a lot of new informations, very good explanations of the materials and you can always practice what you have learned with plenty of examples. I've empowered my skills in data analytics especially with Excel, i recommend that a learner should have a little knowledge about data analysis becaus this course will make him more confident.

교육 기관: Baha U K S

2020년 4월 30일

I will recommend this course only to those who are really into statistics and is willing to understand in-depth statistical methods. The course title can be somewhat misleading because the course does not focus on Excel features on analyzing data, rather it focuses on statistical procedures. However, the assignments were fun to work with.

교육 기관: Gabriel B

2020년 5월 1일

A challenging yet very rewarding class. It is important to truly understand concepts prior to moving on in the course as this will make the final project much easier to complete. I recommend doing a quick review of the math concepts used in this course as it will give you a foundation to understand the concepts introduced in the course.

교육 기관: Nick

2016년 1월 15일

Excellent and reasonably challenging course. One of the courses that would be extremely hard without a solid foundation in maths.

The final project is massive and time-consuming - I didn't see it coming and was surprised, not in a good way ;) You better start working on the final assignment since the beginning of the course.