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

4.2
étoiles
3,677 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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251 - 275 sur 860 Avis pour Mastering Data Analysis in Excel

par Sylvia S

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27 janv. 2016

Very thorough and useful. Thank you so much.

par Nwosu C

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22 janv. 2016

I never knew excel had so much possibilities

par 赵旭鹏

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26 janv. 2016

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

par Munyaradzi M

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10 sept. 2018

very good course for analytics, the maths!

par Mohammad U

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26 août 2016

First step toward becoming data scientist.

par Austin K

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1 juin 2017

pretty clear explanation for new learner

par Danny I

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14 mai 2016

Dense! Very Dense. Cool testing methods.

par Esther-Alexandra N

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30 déc. 2020

Great course that challenges you a lot.

par Anirudh R

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21 sept. 2016

Excellent Faculty and robust coverage!!

par Saurabh S

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5 mars 2016

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

par Rogelio R G

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26 oct. 2015

Excellent Idea and concept, thank you!

par Daniel

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21 nov. 2020

Pretty hard course but great lectures

par Philip L

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24 sept. 2016

Very practical course! Learned a lot.

par konglingyu

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27 mai 2018

1 start for its so hard to find data

par ASHISH M

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7 févr. 2017

Teaching method of Daniel is awseome

par HARUN S

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13 juin 2016

Excellent explanation and examples..

par Chandler

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24 mars 2016

very helpful and useful in real case

par balaji p

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19 janv. 2016

Good content and practical examples.

par Huiquan L

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2 janv. 2016

Extremely useful and easy to follow!

par charul s

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29 mars 2020

It was a great learning experience!

par Tataru A A

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7 mai 2020

We sincerely thank the teachers!!!

par Liwei K

•
6 déc. 2015

it's my first course on coursera .

par Oscar D

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16 sept. 2020

Excellent course! Great teacher!!

par Oscar E Q E

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31 mai 2018

it is the great course ¡¡¡¡¡¡¡¡¡¡

par JIARONG Z

•
31 mars 2016

Easy understanding and practical.

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