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Opiniones y comentarios de aprendices correspondientes a Mastering Data Analysis in Excel por parte de Universidad Duke

4.2
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3,844 calificaciones

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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....

Principales reseñas

TB

16 de nov. de 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 de oct. de 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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276 - 300 de 916 revisiones para Mastering Data Analysis in Excel

por Mohammad U

26 de ago. de 2016

First step toward becoming data scientist.

por Austin K

1 de jun. de 2017

pretty clear explanation for new learner

por Danny I

14 de may. de 2016

Dense! Very Dense. Cool testing methods.

por Esther-Alexandra N

30 de dic. de 2020

Great course that challenges you a lot.

por Anirudh R

21 de sep. de 2016

Excellent Faculty and robust coverage!!

por Saurabh S

5 de mar. de 2016

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

por Rogelio R G

26 de oct. de 2015

Excellent Idea and concept, thank you!

por Daniel K

21 de nov. de 2020

Pretty hard course but great lectures

por Philip L

24 de sep. de 2016

Very practical course! Learned a lot.

por konglingyu

27 de may. de 2018

1 start for its so hard to find data

por Ashish M

7 de feb. de 2017

Teaching method of Daniel is awseome

por HARUN S

13 de jun. de 2016

Excellent explanation and examples..

por Chandler

24 de mar. de 2016

very helpful and useful in real case

por balaji p

19 de ene. de 2016

Good content and practical examples.

por Huiquan L

2 de ene. de 2016

Extremely useful and easy to follow!

por charul s

29 de mar. de 2020

It was a great learning experience!

por Tataru A A

7 de may. de 2020

We sincerely thank the teachers!!!

por Liwei K

6 de dic. de 2015

it's my first course on coursera .

por Oscar D

16 de sep. de 2020

Excellent course! Great teacher!!

por Oscar E Q E

31 de may. de 2018

it is the great course ¡¡¡¡¡¡¡¡¡¡

por JIARONG Z

31 de mar. de 2016

Easy understanding and practical.

por Stevie X Y

22 de mar. de 2016

Good content but badly structured

por Amy A

7 de nov. de 2021

great for beginners, challenging

por Kevin D

20 de abr. de 2021

Really good, challenging course.

por Vijay V

21 de mar. de 2021

Wonderful and insightful course.