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

4.2
3,010 notes
673 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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76 - 100 sur 654 Examens pour Mastering Data Analysis in Excel

par Chen X

Dec 06, 2017

hard but useful

par May

May 09, 2018

This course is good for learners to practice and apply the math method to the real case.

par Mikhail P

Jun 18, 2018

Wonderful course in all aspects!

par SAIRAM C

May 09, 2017

Great. Thank you. Keep going

par Javier G

Aug 08, 2017

Great Class but it could use some more detail and info for all the concepts and terminology. For example, entropy would be better understood with more detailed information about entropy and its concept.

par Subrata K D

Sep 11, 2017

Nice Course. Nice Analysis.

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 Athanasios K

Jul 25, 2017

Amazing and Very tough Course!!!

par Amar S

Aug 13, 2017

I would recommend this course who are thinking to learn data analysis. Its your gateway to the field of data analysis.

par Sandeep K Y

Feb 04, 2016

Really useful project :)

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 Anirudh R

Sep 21, 2016

Excellent Faculty and robust coverage!!

par Hari T

Oct 23, 2015

great experience with great faculties and learning basics with smart ways thank you

par Chandler

Mar 24, 2016

very helpful and useful in real case

par Rega V

Nov 21, 2015

Really Help me :)

par JuanEnCoursera

Dec 04, 2016

Very good course

par Stevie X Y

Mar 23, 2016

Good content but badly structured

par Cameron H

Oct 27, 2015

Excellent course in excel tools, probability problems and theoretical thinking skills to apply to business problems!

par Danny I

May 14, 2016

Dense! Very Dense. Cool testing methods.

par Lishu W

Dec 18, 2015

Great course! I've learned a lot useful equations in business, and the appliance in excel.

par Seshadri G

Jun 28, 2017

I got to learn life skills that are essential for a data analyst. The biggest addition to my knowledge via this course would have to be binary classification and entropy. Although I was familiar with the theory of probability and statistics prior to taking this course, everything was brought into perspective or context in this course. Grateful to Prof. Egger for his enoromous efforts in recording the videos and providing the spreadsheets for our practice and future use.

par Do H L

Jun 22, 2016

Well, it'll be good if you set the expectation that you're learning information theory and binary classification in this course, with Excel being the tool by which you use to learn those concepts.

However, do not expect this course to be entirely about Excel, it is not.

With the right expectation, this is a great course!

par Oscar B

Mar 07, 2016

Great Course, it's a useful tool to improve your excel, and your Knowledge in statistics.