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Avis et commentaires pour d'étudiants pour Mastering Data Analysis in Excel par Université Duke

4.2
étoiles
3,675 évaluations
881 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
30 oct. 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.

PW
13 oct. 2020

The course was excellent. A little difficult and overwhelming at times but as long as you stayed the course the professors gave you every opportunity to succeed. Thank you for your time professor.

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176 - 200 sur 860 Avis pour Mastering Data Analysis in Excel

par Ehui E S A

17 mars 2018

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

par Kathryn M L

18 févr. 2016

Instructor is highly knowledgeable and provides an interesting and thought provoking lecture.

par Benjamin L

21 déc. 2015

patctical and useful course,is better for your creer life. Thanks for sharing the knowledge.

par kwangje.baeg

25 juil. 2016

swollen with pride that I could be a great biz analyst

ofcourse, with Great professors ^~^

par Lishu W

18 déc. 2015

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

par Abir H

24 oct. 2015

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

par May

9 mai 2018

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

par OSCAR B

7 mars 2016

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

par Anthony J

6 oct. 2016

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

par Olga A

8 déc. 2018

Difficult, but i'm glad to tried and completed. Thanks to all, who created this course.

par Theo

7 août 2017

I really enjoyed this course and I hope I could go for the next course of data analysis

par Juan P B

30 avr. 2017

Fun to watch, great exercises and examples, interesting subjects made simple. Congrats!

par LE Z

17 avr. 2016

I hope the video could show me more about how to do these entropy calculations in Excel

par Pankaj R

24 janv. 2020

It's very nice with unique content. But some of things needs to explain more.

Thank you

par Chengyu H

3 oct. 2017

I'm happy to learn some concepts of handling data in excel, though it's a bit roughly.

par Francisco D

26 mars 2016

Excellent content, learned many new things. Mainly new tools in Excel with the Solver.

par Reinis S

14 déc. 2015

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

par Eugene T

20 déc. 2015

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

par Prem S S

21 oct. 2015

please give some mechanism to refer my friends to this course from the website itself

par Hari T

23 oct. 2015

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

par NICOLAS C H

20 sept. 2020

IS A GREAT COURSE FOR MBA STUDENTS TO ACQUIRE, CONFIRM & PRACTICE THEIR KNOWLEDGE.

par Isaiah K A

24 nov. 2016

Great course for applying real word scenarios with analytical tools such as Excel.

par Deleted A

3 juin 2016

Easily and fun learning for novice learners as well as non-mathematics background.

par Gaurav s

27 sept. 2018

Excellent course. Learnt the basics of model building in a very practical manner

par Chang L

6 nov. 2017

great course, the final project is really hard but I can really learn something.