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Mastering Data Analysis in Excel, Université Duke

4.2
2,804 notes
629 avis

À propos de ce cours

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....

Meilleurs avis

par JE

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.

par NC

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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611 avis

par Achmad Raka Anjani

Apr 22, 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

par valentine Muhonja

Apr 12, 2019

Great course improves data analysis insight

par 何泽林

Apr 12, 2019

There are some problems with the spreadsheet, which cost me truly a lot of time.

par Rajat Kapoor

Apr 06, 2019

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

par ctvv3010

Apr 02, 2019

I like the course but sometimes the instructions are not clear enough. The learning materials are good. Yet I feel it takes so much time to finish the course because I feel not being instructed clearly.

par Aysharjo Hassan

Mar 28, 2019

really helped me understand the material for my job

par Cheng-Kang Chao

Mar 28, 2019

Extremely challenging to put so many concepts into one course.

I have to do my own studying and research outside of this course to catch up with.

However, it is a good start to follow what need to be learnt for data analysis.

par chehaoming

Mar 20, 2019

please provide chinese for us Thx you very much

par Amy Hodgin

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.

par Jairo Sena

Mar 11, 2019

The course is poorly structured, taking a lot of effort to decipher what is required in the assignments.