Mastering Data Analysis in Excel(으)로 돌아가기

4.2

3,039개의 평가

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680개의 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: chehaoming

•Mar 20, 2019

please provide chinese for us Thx you very much

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: 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: Ross C

•Oct 15, 2018

Challenging course, however very useful skills on leveraging Excel for data analysis. I enjoyed the examples as well as the class projects. Good mix of hands on an theory.

교육 기관: Gaurav s

•Sep 27, 2018

Excellent course. Learnt the basics of model building in a very practical manner

교육 기관: Munyaradzi M

•Sep 10, 2018

very good course for analytics, the maths!

교육 기관: Jiang M

•Oct 25, 2018

Not very clear about the explanation of the mathematics. So that if you want to understand the problem clearly, you may need more reading on other materials. But there is no much materials offered but spreadsheets.

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: Atish S

•Aug 30, 2017

Statistics knowledge can be extremely helpful. Conceptually and course design is sufficient to explain what all is required to make a predictive model.

교육 기관: Rod S

•Sep 06, 2016

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: Kunal M

•Jun 26, 2017

course is very helpful

교육 기관: Chengyu H

•Oct 04, 2017

I'm happy to learn some concepts of handling data in excel, though it's a bit roughly.

교육 기관: Artem A

•Apr 14, 2016

Noiiice!

교육 기관: Nusrat J

•Nov 23, 2016

really awesome course...

교육 기관: Shuo T

•Jun 27, 2017

Great course!

교육 기관: NGUYEN D C

•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.

교육 기관: Javier L

•Nov 28, 2017

A very challenging course with lots of Information that will help you excel in statistics or at least gain a profound knowledge in this field.

교육 기관: Maycon O F

•Dec 12, 2016

Such a good course to learn about data analysis and statistics by using Excel!

교육 기관: Austin K

•Jun 01, 2017

pretty clear explanation for new learner

교육 기관: AKINWALE Z O

•Nov 16, 2016

pragmatic enough and a lot of stat to be learned

교육 기관: Chang L

•Nov 07, 2017

great course, the final project is really hard but I can really learn something.

교육 기관: Alexandros I

•Apr 21, 2016

Excellent!

교육 기관: konglingyu

•May 27, 2018

1 start for its so hard to find data

교육 기관: Xi L

•Jul 31, 2017

I don't suggest to starters without econometrics or statistics knowledge, but the course is a quite systematic with elaborate examples or templates.

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.