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

4.2
étoiles
3,802 évaluations
919 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

TB
16 nov. 2021

I like and appreciate courses provided through Coursera.This course is very interesting and valuable for those whose jobs do have relevance with data management .God bless Coursera and Duke University

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.

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701 - 725 sur 901 Avis pour Mastering Data Analysis in Excel

par tressie p

12 juil. 2020

it seems like there need to be some prerequisities to this class, like finance.

par Samhita A

2 juil. 2020

It was a bit too fast and there is a lot of math formulas than I expected

par César R

5 juil. 2016

The order and content of the lessons wasn't planned with sufficient care.

par Alice S

31 août 2021

A bit hard to underttand fully. Need more demostration and explaination.

par Sebastiaan B

17 août 2016

The second test should be compulsory for also the non-paying students!

par sobhy k

30 juil. 2021

I think it is a course in statistics, there are many missing concepts

par Steven T

15 mai 2018

The content was very useful but I felt that instruction was lacking

par demehin I

31 janv. 2016

still needs a better way of explaining the diversity of the course

par Luke R

6 avr. 2017

Good Course, but final project asks a lot for what this course is

par steven u

22 nov. 2015

Good intro and fundamentals, but focuses far too much on finance.

par Diogo H M d F T

7 juil. 2016

Superficial, esboça assuntos de estatística e mal fala do excel.

par 张之晗(ZhiHan Z

9 sept. 2017

So many terminologies, can you talk those principles concisely?

par cherie

19 sept. 2016

Very hard to comprehend for 6 weeks. But could have been great.

par Bernhard K

28 févr. 2016

Way too theoretical. This is Excel, not Information Theory....

par Ernesto R

11 mars 2016

Not enough practices for the unexperienced students.

par Scott R

21 oct. 2020

Definitely way more statistics than I expected.

par Neelam M

27 juil. 2016

inclination was more towards concept than excel

par SARAH S A

18 juil. 2017

Tough Course.. Need Mathematical Background

par Yohann B

6 févr. 2016

good, but no material and lack of structure

par Ricardo C

8 déc. 2018

Too much theory and no excel learings.

par Reiko M

3 mai 2016

Not so comfortable with using Excel.

par Sundeep g

25 févr. 2019

It was great to have this course.

par Hao C

9 févr. 2016

Not so relevant with real work.

par Joseph M

2 mai 2016

It was an interesting course.

par Carlos S C

14 févr. 2016

Final project really hard