Mastering Data Analysis in Excel(으)로 돌아가기

# 듀크대학교의 Mastering Data Analysis in Excel 학습자 리뷰 및 피드백

4.2
3,096개의 평가
701개의 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

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.

필터링 기준:

## Mastering Data Analysis in Excel의 683개 리뷰 중 26~50

교육 기관: Seshadri G

Jun 28, 2017

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

Jun 25, 2017

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

Nov 22, 2015

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: Md. H I S

May 28, 2017

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: Pavel K

Aug 23, 2018

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

Jun 10, 2016

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

Jan 22, 2016

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

Feb 23, 2016

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: Nikolay L

Jan 15, 2016

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.

교육 기관: Manuel A

Oct 18, 2017

Excelent Course, great to introduce yourself in the world of data modeling with excel and statistics. Its not a course of excel, is a course that teaches data analytics and how to use excel as a great tool for it(I you want dynamic tables and accounting this might not be your course).

Highly recommendable, Thanks for all!

교육 기관: Do H L

Jun 22, 2016

Well, it'll be good if you set the expectation that you're learning information theory and binary classification in this course, with Excel being the tool by which you use to learn those concepts.

However, do not expect this course to be entirely about Excel, it is not.

With the right expectation, this is a great course!

교육 기관: Dao T H

Dec 06, 2018

The course is very useful. I can learn how to build an effective binary classification model to support for my decision-making process. All learning materials, especially Excel files used in the course is very detailed, greatly assisting me in understanding what the lecturer talk about and how to calculate in Excel.

교육 기관: Obi N

Jul 03, 2017

I had no idea this would draw me back into the realm of mathematics I had long abandoned and made no use of. But for good reason it did. I can now apply all that maths to analyse information and generate valuable insight that can make a difference. Definitely worth taking if want to understand applied data analysis.

교육 기관: Labros V

Aug 18, 2018

Amazing course. I actually have an interview for the position of forecast modeller in a bank and I'm am to present the same subject as the project. I maybe land my new job because of this. It's challenging though. I still remember the days that I put on to complete it ( and mainly the project).

교육 기관: Hitesh P

Mar 12, 2020

course is great . instructor is beyond words. you need a good knowledge of mathematics and statistics for later weaks to understand course content . follow discussions also to understand concepts at broad and to know the mistakes commonly made. you will get double benefit.

교육 기관: carrie

Sep 22, 2017

useful and not too difficult. but i strongly recommend potential learners to finish part of the last week project once you've finished the former week assignment! as i didn't do this, it's really painfull to finish the final assginment consisting of several parts in a week

교육 기관: Jonathan W

Feb 02, 2016

This course was somewhat challenging and having no experience in this at all it really paid off to learn about models. It would do me good to take a statistics course and i plan on doing so this upcoming semester, to maximize my benefits from a course like this.

교육 기관: Junaid K

Dec 24, 2015

Excellent course. Focusses mainly on data analysis in Excel rather that teaching you all excel function. A good way to learn both. I recommend anyone interested in data analysis to take this course. The exercises are challenging to answer. It's fun solving them

교육 기관: danesh j

Nov 17, 2015

No need to learn Excel so I'm to focus on the content. The professor examples are clear and like that he provides different perspectives to looking at a problem and makes it visual as well in order to conceptualized the idea first so I can commit it to my mind.

교육 기관: Jitesh g

Dec 02, 2018

One of the best course that i have ever done. Just make a patience and repeat the lecture if u find any difficulty , every time you realise that you are increasing your capablities or knowledge in Data Analytics sector.I will surely recommmcend this course .

교육 기관: Oleksii K

Mar 11, 2020

Great and well-structured course, during wich I learned how to use statistics in data analysis and how to build useful models (binary classification, linear regression) using Excel. Especially liked the final project with interesting practical tasks.

교육 기관: Molly M

Jan 25, 2018

This course is very informative, and I am already thinking about applying the things I've learned in my work. I found that the first part of the final project was the most difficult and time-consuming part of the course. Budget extra time for it!

교육 기관: Muhammad I

Jan 25, 2020

Great course. Explains the excel concepts in detail. This course is really practical and employs an approach to solve business problems that is comparable to real life job work. The resources offered are really useful in and out of this course.

교육 기관: Joe L

Feb 22, 2016

I find it very practical. Not only do the lectures give you general overview of the concepts with examples, but also they teach you how to do the maths which is very important in my opinions. Thank you very much Prof. Egger and the team.

교육 기관: Barbora B

Feb 06, 2018

Amazing course, I recommend it very much!! It is a just-right challenge - not too easy but not impossible to do either. It's also quite up to everyone how deeply he/she decides to immerse in the subject. Thank you professor Egger!!