Retour à Mastering Data Analysis in Excel

4.2

3,016 notes

•

675 avis

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.

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par 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.

par 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.

par Kunal M

•Jun 26, 2017

course is very helpful

par Chengyu H

•Oct 04, 2017

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

par Vivek S

•Sep 26, 2016

Excellent Course!! Great insight on binary classification model !! I recommend this course to anyone who is looking to master data analysis skills using Excel.

par 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.

par Maycon O F

•Dec 12, 2016

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

par Kayla H

•Jan 20, 2018

This course was very helpful in refreshing my knowledge of Excel I had previously and including new tips and tricks for working in Excel that I didn't have before.

par Chang L

•Nov 07, 2017

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

par Michal K

•Oct 07, 2017

V

par Austin K

•Jun 01, 2017

pretty clear explanation for new learner

par AKINWALE Z O

•Nov 16, 2016

pragmatic enough and a lot of stat to be learned

par Alexandros I

•Apr 21, 2016

Excellent!

par 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

par Junior L

•Apr 15, 2018

This course is worth taking by anyone who needs to have a better understanding of how the most efficient and best decisions in the market place are taken using Data management simply in Excel.

par 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.

par 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.

par Manojkumar P H

•Jan 04, 2018

super courses

par kamran s

•Jun 05, 2018

I joined the course to learn some Excel but end up learning about Data Analysis. I enjoyed it very much it was tough but very informative.

par RUSI L

•Apr 27, 2017

Very useful course.

par konglingyu

•May 27, 2018

1 start for its so hard to find data

par Gustavo H M

•May 22, 2018

Maybe the name could be another, but except for that it's a great course!

par Squirrel M

•Sep 19, 2017

Tough but good

par Ricardo B

•Oct 24, 2017

Great course.

par Balachandra P H

•May 31, 2018

The course was interesting and challenging. Professor Egger's lectures were very useful in understanding the concepts.

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