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Avis et commentaires pour l'étudiant pour Mastering Data Analysis in Excel par Université Duke

4.2
3,016 notes
675 avis

À propos du 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

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.

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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101 - 125 sur 656 Examens pour Mastering Data Analysis in Excel

par ASHISH M

Feb 07, 2017

Teaching method of Daniel is awseome

par Mikhail P

Jun 18, 2018

Wonderful course in all aspects!

par Galina

Jan 13, 2016

Thank you very much for great course.

I have some difficult with this course and I did not finish it. Whatever the course was very interesting.

par Nusrat J

Nov 23, 2016

really awesome course...

par Shuo T

Jun 27, 2017

Great course!

par Sebastián O

Dec 17, 2016

Muy buen curso para iniciarse en modelado estadístico

par Yiran W

Mar 04, 2017

great course if you want to go deeper in business

par Eugene T

Dec 20, 2015

Very challenging course that is very insightful in the use of Excel for Data Analysis

par Sultan A

Feb 09, 2016

Very nice course.

par Akshay K

Mar 29, 2017

Resources provided are very good in quality, completeness, easy to understand, and clear for neophyte.

par XUZHENGYU

Mar 30, 2016

very nice course,discussions are very helpful.

par Rogelio R G

Oct 26, 2015

Excellent Idea and concept, thank you!

par Kyle A

Feb 22, 2016

Ver

par Shuang G

Dec 23, 2015

Very good! Useful for both new learners and expertise.

par Daniel M

Jan 23, 2016

great statistic refresher and hands-on experience with excel

par Al S

Dec 17, 2015

e

par Joe L

Feb 22, 2016

I find it very practical. Not only do the lectures give you general overview of the concepts with examples, but also they teach you how to do the maths which is very important in my opinions. Thank you very much Prof. Egger and the team.

par Serdar Y

Oct 10, 2017

It was a great experience for me. I learned a lot on analyzing data in business area.

Excited to learn more.!

par Chandler

Mar 24, 2016

very helpful and useful in real case

par Rega V

Nov 21, 2015

Really Help me :)

par Anthony J

Oct 06, 2016

The course was very clear and they included topics on information theory and statistics.

par matthewcs

Jun 18, 2016

Great - the maths section was actually educational

par Abdullah M

Mar 24, 2016

Really helpful

par Christian M

Oct 31, 2017

Excelent!!!

par Harsimran K

Nov 25, 2016

I being a beginner found this course to be very helpful.It gave me a good start in data analysis.