Mastering Data Analysis in Excel(으)로 돌아가기

4.2

3,005개의 평가

•

669개의 리뷰

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....

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.

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:

교육 기관: GBT

•Feb 24, 2019

This course has more holes than swiss cheese. The instructor makes major leaps without thoroughly explaining things. A lot of times when I started to do a problem set it felt like I had missed 2 or 3 lectures. But I had not, the instructor just leaves you to figure a lot out on your own. The videos are choppy often containing errors that sometimes have a note stating the accurate information. The excel sheets are posted at the end of the lecture as opposed to the beginning. But they have nothing to do with the lectures other than the calculus behind the formulas. So you have to go through cell by cell to figure out what the hell the instructor did and what calculus was being used. I appreciate how the instructor combined a lot of material here but unless you are fresh of calculus 3 or several statistics class then this is complexly crap course.

교육 기관: Thomas S

•Feb 12, 2019

Horrible instruction. Little to no motivation is supplied for each topic. Moreover, the statistical concepts taught in this course are not preceded by preliminary concepts. For instance, I believe it is not until the course is almost over that the concept of a random variable is discussed. Do not waste your time with this course if your goal is to be more skilled in excel.

교육 기관: Kenneth W

•Oct 12, 2018

Great course. My one caveat would be that, as other reviews have stated, the name of the course is misleading. In my opinion, this course isn't nearly about Excel as much as it is about probability and statistical analysis. If you haven't taken classes and don't have any experience with these, you will be in for a very rough ride. However, Professor Eggers does a good job of guiding you through it and gives you the resources you need to succeed. It will undoubtedly be tough, but if you are persistent and believe in yourself, you will succeed. And you will come out on the other side better for the wear. Cheers!

교육 기관: Krishna K

•Feb 18, 2018

1. The scribbling on the videos is not legible. How do you expect students to learn when we can't read that scribble.

2. There is not enough detail within the instruction to complete the quizzes and final exam. I had to switch sessions multiple times in order to do additional research outside the course to complete the quizzes and exams.

3. This course needs a re-do. Please read what students are saying in the forum and on other MOOC review websites. The reviews for this class are NOT good.

Please make changes. I will NOT recommend anyone to take this class

교육 기관: Hardik M

•Mar 04, 2019

The course is great as it allows you to apply all the concepts taught in scenarios that are really practical. The resources supplied with the course are extremely useful,and all in all the course is good for anyone trying to understand data analytics.

교육 기관: Achmad R A

•May 21, 2019

its a good course but maybe in the future you can add another case for participants to build another model beside bank credit model

교육 기관: Soukaina K

•May 02, 2019

Excellent course, I learnt a lot and really enjoyed it. Definitely recommend !

교육 기관: Marcela E

•Jun 21, 2019

es un curso que te va a ayudar a saber manejar excel y ademas de aprender los temas básicos aprenderás de temas como teste de modelos.

교육 기관: valentine M

•Apr 12, 2019

Great course improves data analysis insight

교육 기관: Rajat K

•Apr 06, 2019

great course got great knowledge about the models used for data analysis

교육 기관: Doug J

•Apr 29, 2019

Very comprehensive. Lot of theory and practical. My request would be to add a week focusing on a couple models and a couple methods to select metrics and validate confidence.

교육 기관: Amy H

•Mar 13, 2019

This is overall a great course for learning how to use Excel to analyse and manage data. However, the topics covered do not prepare you for the final project. I had to do a lot of trial and error, and research how to complete certain tasks, as the information given in the lessons is not substantial enough to complete the final project. On the plus side, this forced me to figure things out on my own and and taught me a lesson in perseverance. Coming from a humanities background, this course showed me the basics of using Excel and I now feel comfortable using Excel to analyse and manage large data sets.

교육 기관: Matthew T

•Apr 30, 2019

There were a lot of holes in the teaching of this class. We covered more statistics content than I did in my full-time MBA statistics class over a few 10 minute YouTube videos. Additionally, there is some calculus which I have not studied in 10 years or so. I would have liked to see more excel functionalities explained to add to my tool bag. With all that being said, I learned from the class and enjoyed some of the spreadsheets that were provided. I expected to be challenged since the course is done through a prestigious university and definitely was.

교육 기관: Santiago H

•Jun 30, 2019

The exercises, resources and quizzes were really good. I felt they were putting to you to the test to see if you had applicable Excel knowledge.

The videos I believe were not that helpful. Too focused on the arithmetics of statistics, while lacking a stronger explanation behind the logic and the importance of certain concepts such as conditional probability, CLT, etc. The arithmetics you will i) forget ii) can easily look them up. But the logic not so much.

I do think the course should have shown how to run regressions with the Data Add-In. This is a helpful tool, makes more sense than forcing you to do everything manually.

교육 기관: Courtney B

•Sep 02, 2018

I learned a lot in this course, but it is definitely not what you would expect from the title! Like many others before me have mentioned, it's more of an advanced statistics course than an excel-based data analytics course. They provide spreadsheets that are already filled with formulas (you really don't get the opportunity to create them yourself, but they are pretty cool nonetheless), BUT they never use the spreadsheets in the lessons and DON'T properly explain how to use them; that said, you're required to understand how to use them for the exams!

I consider myself extremely capable with excel, and a very quick learner with a little bit of teaching and a handful of examples to test out, but when the lessons focused on math instead of how to fit a question to the spreadsheet, I felt pretty lost every time a quiz came around because we weren't taught how to use the spreadsheets to answer the questions (which would have been useful and applicable to my career, actually, unlike the math lessons). Most of the 6-8 hrs a week was not watching the lessons so much as messing around with the spreadsheets during quizzes and guessing where we needed to input data to populate the required results.

I'd honestly recommend this particular course only if it were redone in such a way that the lessons matched the exams better;Doing that would actually provide practical, applicable knowledge to the students.

교육 기관: Thanapich T

•Dec 28, 2018

Sheet is hard and too high complex for understand.

교육 기관: KRUTI S

•May 08, 2019

I would not recommend this course to any one. The things they teach in videos and questions they ask on test are pretty different. First few things are fine then the course turns the other way

교육 기관: Mohammad A P

•Jun 24, 2019

The video just explains the basics but they dont take up detailed examples which are asked in the quizes and then it becomes very difficult to understand the concept

교육 기관: Zhao M

•Nov 19, 2018

The course is designed very well and digs deeply into the usage of binary models. It will be great if more contents are offered about the multi-factor regression model.

교육 기관: Meenal C

•Dec 05, 2018

ccol

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: Olga A

•Dec 08, 2018

Difficult, but i'm glad to tried and completed. Thanks to all, who created this course.

교육 기관: Shubham G

•Nov 06, 2018

nice course

교육 기관: Houda A I

•Nov 13, 2018

The course is very enjoyable. The mathematics behind is sometimes challenging. But the Final Project makes it all worth it.

교육 기관: Jennifer L

•Jan 24, 2019

Lots of information in a short period of time. Last Final was challenging to say the least, but by reading the Discussion Form you are able to get through it.