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

2,955 notes
656 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


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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176 - 200 sur 638 Examens pour Mastering Data Analysis in Excel


Dec 29, 2017

great course to learn basi

par Jose C S M

Feb 11, 2016


par Saurabh S

Mar 05, 2016

Goto course ...... very nice ....... :)

par Franco A M A

Jan 11, 2016


par Kuljeet K

May 27, 2016

Very good course

par Md. H I S

May 28, 2017


Its has so many things to learn; from understanding the data analysis process to building actual models. This course definitely laid the foundation of basic understanding and implementation of making decision thorough data analysis.

I would recommend this course to whoever is interested in learning data analysis or is involved in rational decision making through the data analysis.

par Кирилл

Apr 07, 2017


par Partha G

Dec 04, 2015

Great knowledge to build your own equity in decision making.

par Yichen W

Mar 10, 2016

Fantastic course, a lot of work. You definitely need decent maths and a bit of basic statistics to fully understand the course. The course covers many topics and provide great practice on core application in statistics field.

par Luciano d A P

Nov 15, 2015

Great course! Excellent videos and good exercises.

par AIDA B S H

Nov 09, 2015


par juan a c

Feb 06, 2016

very good is increible this course for practice

par Volney P

Jun 25, 2017

This Course is awesome!

It is incredible how some concepts clearly defined and put into practice turn into a a powerful tools for data analysis... like binary classification models, confusion matrix, bayes theorem.

I am really enjoying this course... I highly recommended to everyone... thanks a lot professor Daniel Egger for sharing your knowledge with us, Coursera and Duke University for making this course available...

Hungry for more...

Volney Poulson

par Lingwei H

May 31, 2017

great course

par Rohan D

Dec 22, 2015

Meticulously designed for crisp understanding!

par 马杰

Apr 12, 2016

Great contents and teachers!

par Fidel B

Mar 28, 2016


par Mohammad U

Aug 26, 2016

First step toward becoming data scientist.

par Sylvia S

Jan 27, 2016

Very thorough and useful. Thank you so much.

par Abir H

Oct 24, 2015

The instructions are excellent. It really helps to learn the analytical functions in Excel

par Oscar R

Jan 09, 2016

Very good teachers/instructors.

par Geoff S

Mar 16, 2017

I enjoyed the class even though I felt it was a little over my head. I learned a lot about the processes involved in doing this work.

par Luis M G

Nov 23, 2015

Excelente temario!

par Giovanni V

Jan 25, 2016

This is a great course.

par Nikolay L

Jan 15, 2016

Excellent and reasonably challenging course. One of the courses that would be extremely hard without a solid foundation in maths.

The final project is massive and time-consuming - I didn't see it coming and was surprised, not in a good way ;) You better start working on the final assignment since the beginning of the course.