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Learner Reviews & Feedback for Mastering Data Analysis in Excel by Duke University

4.2
stars
3,935 ratings

About the Course

This course focuses on essential data analysis using Excel. Learn to design and implement realistic predictive models to reduce uncertainty for informed business decisions. In a hands-on project, you'll act as a business data analyst, building models to assess credit card applications, minimize default risk and maximize bank profits. You'll master key uncertainty measures like classification error rates, entropy of information, and confidence intervals for linear regression. Assignments use data provided within the course and basic Excel functions, ensuring fluency for future business applications. No prior knowledge of advanced Excel features (Visual Basic, Pivot Tables) is required. The Excel and data analysis skills you will learn will enable you to apply business data analysis methods based on binary classification, information theory and entropy measures, and linear regression, and prepare you for roles such as a business data analyst....

Top reviews

TB

Nov 17, 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

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.

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626 - 650 of 941 Reviews for Mastering Data Analysis in Excel

By jude c o

•

Sep 25, 2018

Very challenging to grasp

By Mmoloki M

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Nov 22, 2020

REALY interesting course

By Jyoti K

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Oct 8, 2020

Very good course format.

By Eve D

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May 20, 2020

Very interesting course

By raghav s

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Dec 30, 2015

its very helpful course

By Nick P

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Apr 19, 2020

few clear explanations

By Vardges Z

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Dec 15, 2018

A lot of useful theory

By ZHANG W

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Feb 20, 2022

very good course

By Divya M

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May 13, 2020

Excellent course!

By Pranshu J

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Nov 29, 2015

Extremely helpful

By Raja K P

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Oct 6, 2016

Excellent Course

By Deepak S

•

Jul 12, 2017

Good course!

By Tan E

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Feb 3, 2019

Very useful

By Chuang M

•

Feb 7, 2016

Good course

By Angel S

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Feb 5, 2016

Very useful

By SAHANA S R

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Apr 1, 2021

its useful

By Felipe P

•

Dec 15, 2015

Excelent!

By Jay K P

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Dec 3, 2015

Awesome!!

By Zewei R

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Aug 7, 2019

too hard

By Foo J W

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Jun 17, 2020

tough!!

By K C

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Jan 4, 2016

Love it

By Ansar A K

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Jun 26, 2021

good

By Akash K

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Dec 17, 2020

Good

By Zhengfeng Y

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May 25, 2016

Go

By Francis K

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Jul 24, 2021

I feel that the course title is inaccurate as it is more about statistical concepts and their application as opposed to learning analytics using excel. This point has been raised by several past students.

Having said that, I learned a great many news concepts which I can apply in my professional field. I would suggest that having the students make their own excel models would both give them experience in working with excel and also make it much easier for them to arrive at answers to quiz questions. I spent more time trying to navigate the large excel spreadsheet prepared by another person and to learn how to use them with no roadmap, that it took to arrive at answers to the quiz questions.

I also found it hard to follow the shift from on topic or video to the next and had to go over these several times. I felt there was no smooth flow of concepts and sometimes a concept was introduced with no direct relevance to preceding ones. i.e. a disjointed flow of information/presentation. Its decades since I was last in a class setting so maybe things have changed with online classes.

Overall a tough course to go through but given the complexity of some concepts to newbies and the potential this has to open the world of ML, AI and Big Data to many people I would still rate it a 3.