Retour à Mastering Data Analysis in Excel

4.2

3,011 notes

•

673 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 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.

par 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.

par Aditya S

•Feb 15, 2019

This course has enabled me to think the way a data analyst need to think. This course helps in independent growth and getting know the topics by own research. Loved it ! Thank you !

par chehaoming

•Mar 20, 2019

please provide chinese for us Thx you very much

par Jagmohan M

•Dec 28, 2018

Great !

par 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 .

par Maxim C

•Aug 22, 2018

Excellent course! The most valueable lessons for are those which explain financial models, because I'm going to build my own investing portfolio. Moreover, I remembered many concepts which I've forgotten.

par NASANTOGTOKH E

•Sep 04, 2018

So cool course :)

par 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!

par 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.

par Gaurav s

•Sep 27, 2018

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

par Rezaan H

•Sep 29, 2018

Good content, broad and well tested but definitely

par Munyaradzi M

•Sep 10, 2018

very good course for analytics, the maths!

par 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.

par ZHUXINGWEN

•Nov 02, 2018

very useful

par 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).

par 何玉杉

•Nov 06, 2018

The course is very useful to me!

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 Artem A

•Apr 14, 2016

Noiiice!

par Muhammad b A

•Aug 24, 2017

Very challenging

par Ming J

•Nov 09, 2016

Really great! Things taught in this course are useful.

par Nusrat J

•Nov 23, 2016

really awesome course...

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