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

4.2
3,039 notes
680 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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201 - 225 sur 661 Examens pour Mastering Data Analysis in Excel

par Junaid K

Dec 24, 2015

Excellent course. Focusses mainly on data analysis in Excel rather that teaching you all excel function. A good way to learn both. I recommend anyone interested in data analysis to take this course. The exercises are challenging to answer. It's fun solving them

par Marek Z

Dec 24, 2015

For me a great course that tackle basics of data analysis that is usually done in much more advanced software.

Thanks to Excel "transparency" it is very easy to understand those concepts.

par AIDA B S H

Nov 09, 2015

EXCELLENT! HIGHLY RECOMMENDED!

par Luis M G

Nov 23, 2015

Excelente temario!

par igor s

Mar 23, 2018

Thank you very much for this course, although it is may too difficult.

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 Giovanni V

Jan 25, 2016

This is a great course.

par JIARONG Z

Mar 31, 2016

Easy understanding and practical.

par suneet b

Jan 10, 2016

Brilliant course

par 赵旭鹏

Jan 27, 2016

very uesful for me ,i'am a student in china

par Reginald N C

Jan 15, 2017

I love this course and the way the material is explained. I plan on taking this course again to improve my understanding of the information because I think it relays very important ideas.

par Ehui E S A

Mar 17, 2018

Great course to master Data Analysis in Excel: a great part toward the Data scientist career.

par Кирилл

Apr 07, 2017

Nice

par 嚴楷鈞

Apr 17, 2016

highly recommend

par Ermiyas M D

Oct 21, 2015

Excellent training in helping me to master excel.

par Tanmay S

Dec 10, 2015

Very good those who want make their career in business analytic field

par Adriana B Q

Feb 07, 2016

So far so good!!

par Alok S

Aug 18, 2016

Good Presentation

par danesh j

Nov 17, 2015

No need to learn Excel so I'm to focus on the content. The professor examples are clear and like that he provides different perspectives to looking at a problem and makes it visual as well in order to conceptualized the idea first so I can commit it to my mind.

par Andres F G P

Dec 03, 2017

Very good learning experience

par JuanEnCoursera

Dec 04, 2016

Very good course

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 Munyaradzi M

Sep 10, 2018

very good course for analytics, the maths!