Mastering Data Analysis in Excel(으)로 돌아가기

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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....

TB

2021년 11월 16일

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

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.

필터링 기준:

교육 기관: Markus S

•2015년 11월 20일

Really interesting course and material and a very good instructor. This would be a 5 stars course if it wasn't for the final project. During lessons some concepts of statistics were taken as known (which is okay). However the final project required to utilize a combination of all new learned material on a whole different level of difficulty compared to the preceding quizzes. I did not expect that jump in difficulty and enjoyed the course a lot but the final project just was a struggle.

교육 기관: Stefano J N

•2016년 4월 29일

The Course is fine, explanations and videos are a bit hard to follow at times.

The final assessment is in my opinion very bad, as it i appears to me quite unrelated to the course it self. The lectures are quite abstract and the exam is a practical application of the concept.

The instructions of the course also aren't very good as you need to do each part of the final project at the end of each week.

I would strongly suggest to not take this course unless you have many spare hours.

교육 기관: Kristin K

•2018년 2월 27일

The course covers some good topics, but it is not introductory due to the requirement that you have prior knowledge of statistics. I found the lectures got progressively more confusing with few examples of how to apply the knowledge. If you take the time to figure out what is actually being asked and how to do it in the spreadsheets provided you can learn something, but the amount of time wasted hunting for the correct approach to their spreadsheets can be quite frustrating.

교육 기관: Dhananjay P

•2016년 3월 14일

The class has great concept but it needs a bit more structure and change to hit its full potential.

The Good:-The spreadsheets and exercises along with Quiz material. The project was also very informative.

The Bad:- The video need to better explain how Area Under Curve and how the Credit model make sense. It was not very intuitive and I struggled for over 2 weeks to put the Project together due to this gap.

But a worthwhile class with great potential. I am glad I took it.

교육 기관: Darryl B

•2020년 10월 22일

The course is not updated and you have to depend on students solely to get through the material. There are several learning gaps. It would be better if they said that, these topics aren't covered but you need to read up on them. The lecturer style of delivery is not engaging so it is a challenge to get through the videos. The content and concept, that is the ability to determine a model using Excel is cool.

교육 기관: Mohit M

•2016년 1월 4일

Course contents are rather deep which is good and makes it challenging. Explanations could be better and there should be more content on some topics for better understanding. Someone with background in statistics would find this course more useful than on who only has basic knowledge of statistics. Nevertheless, it inspired me to learn from other sources to fill the gaps in my understanding.

교육 기관: Grant V

•2017년 4월 4일

Leve of difficulty was above my expectations. Moved too fast. Could have been more thorough in applying the content to examples similar to the quiz. Seemed to stick to the bare minimum of what would be required before moving to the quiz. Be transparent with future prospective students that this course absolutely requires knowledge of calculus, probability, and statistics.

교육 기관: Thao V

•2015년 11월 16일

The course has some valuable information, however course materials and videos are not so helpful. If you already have some knowledge about statistics and excel, it will be a lot easier to follow the instructor's lectures, otherwise I don't feel how a beginner could really follow up on this course. Some topics are run through so quickly that they are confusing to students.

교육 기관: Ambreen H

•2016년 3월 23일

This quickly became a statistics course, which although important was really difficult for me as I went in not expecting it.

However, Dr. Egger is incredible! I think he's a fantastic and well-versed instructor in the Data & Analytics realm and am eager to find ways I can use what I've learned into practice at work.

교육 기관: Marta M

•2016년 2월 2일

I would like to have more example, it feels there is mostly theory. The quizzes were super easy, I dropped out at final project, I couldn't get through the first questions. The course (and especially the final project) requires a good basis in statistics beforehand.

The assistants are super helpful and patient.

교육 기관: Chris C

•2016년 8월 15일

The instructor should spend more time putting equations and concepts into concept, and tying them together. It often felt like values and questions were arbitrary. This is less about master data analysis in Excel, and more about gaining ground in a few key concepts, so the title is misleading as well.

교육 기관: Allen O

•2020년 6월 30일

The quality of the content did not meet my expectations. There were typos, incorrect answers, and vague explanations. Courses like these, which are fully online and do not have any sort of support besides the forum, really need to make sure everything is robust in terms of content and quality.

교육 기관: Sam H

•2017년 8월 21일

Difficult and too condensed for a beginners course. Although I appreciate that some of the worksheets were put together for us, I can't understand the underlying concept as well as if I were the one putting everything together. Logistically, it's not appropriate for a class this short.

교육 기관: Nicholas J S

•2019년 11월 29일

I definitely learned a lot from this course, however, the teaching was very poor. The teacher is very hard to understand and much of my learnings I was forced to find elsewhere. Questions in the quizzes are not in coherence with the classes and one is often left very confused.

교육 기관: Anna K

•2020년 12월 10일

Even though the course can be considered as very complete, useful and challenging at the same time, the challenge was partly generated by the unclear instructions for the course, the tests and the assignments. It was quite difficult to follow (thank God to the forum!).

교육 기관: Malcolm N

•2016년 9월 20일

nice syllabus overall with great exercises.

wish it would teach more commonly used excel skills in business e.g. pivot tables, index-match, vlookup etc.

lectures were a bit hard to follow (esp the mathy ones) - i'd suggest reworking the blackboard craft

교육 기관: Marcus H

•2020년 10월 15일

Great course and an amazing professor; however, Week 4 and beyond should be redesigned. Linear regression is not that challenging of a topic, if taught well, and based on the discussion forums, too many people got lost at that point in the course.

교육 기관: Pratyush A

•2020년 8월 25일

Too much mathematics. People who want to get deep into the working out analysis should do this course. If you want to learn basic analysis then its better you do some other course as this is heavy on theory and the quizzes are very tough.

교육 기관: Ali H A

•2016년 2월 14일

This course did not live up to its potential.

The course should be retitled as an "Intro to Statistics" not learning functions and visualizations on excel.

I still have three stars because I at least picked up some useful concepts from it.

교육 기관: Cynthia N

•2016년 2월 7일

Great class, however I felt it was very heavy on statistics and math concepts versus how to use Excel for data analysis. I would've liked to see some strategies on how to analyze large datasets, look for trends, and clean up bad data.

교육 기관: Lieselot D

•2018년 7월 17일

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.

교육 기관: Nguyễn T B L

•2016년 3월 10일

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.

교육 기관: Edward J

•2020년 10월 15일

A very challenging course with a lot of very heavy maths at times. I found Daniel very engaging and he is obviously very passionate about his field. However, some of the instructions were ambiguous or unclear at times.

교육 기관: Hazel H

•2017년 12월 29일

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.

교육 기관: Yuting W

•2018년 8월 5일

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.

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