Chevron Left
Retour à Mastering Data Analysis in Excel

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.

Filtrer par :

226 - 250 sur 656 Examens pour Mastering Data Analysis in Excel

par Majid A

Feb 18, 2016

Simply if define it in one word. EXCELLENT!!

par Jiarong Y

Jan 04, 2016

挺好的,增加了对excel的认知

par João F M S

Dec 15, 2015

Loved the course! I still need to review some topics to make them clear in my mind but I really enjoyed! :D

par María I B

Dec 05, 2016

Excelentes tutoriales y muy interesante el temario

par Reinis S

Dec 14, 2015

Turning what I learned in university about data analysis to a more practical approach.

par Stepan P

Nov 14, 2015

Great Course! Thanks)

par anny r

Dec 13, 2015

Thank you very much, the lesson is very useful to me. in order to understand what the necessity of a function. and the professor clearly explains everything in the right pace.

par Kubra K S

Sep 21, 2016

Egger is very well instructor. The course is useful.

par Jose C S M

Feb 11, 2016

Great!

par Saurabh S

Mar 05, 2016

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

par JOSE M A A

Feb 04, 2016

I thank Prof. Daniel for the clear exposition of the course.

par Juan C D O

Jun 23, 2016

Excelent!

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 Jose J

Dec 20, 2015

很有趣的课程,作为基础性的知识很好地引导了学生的兴趣

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 Olga

Jun 02, 2016

given very useful material

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 Jonathan W

Feb 02, 2016

This course was somewhat challenging and having no experience in this at all it really paid off to learn about models. It would do me good to take a statistics course and i plan on doing so this upcoming semester, to maximize my benefits from a course like this.

par Liu Y

Oct 29, 2017

like it