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

4.2
stars
3,919 ratings

About the Course

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....

Top reviews

TB

Nov 16, 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 30, 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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601 - 625 of 935 Reviews for Mastering Data Analysis in Excel

By Aadithya V

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Aug 31, 2016

A great course to learn excel for analytics.

By JITISHA G

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Jul 31, 2021

It is genuinely a very informative course

By Kafu A

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Mar 3, 2016

Great course, just a little too technical

By Tonio D L V

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Dec 21, 2016

very very interesting and well explained

By Ngan K W

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Nov 23, 2023

A good probability and statistic course

By David A K

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Mar 9, 2021

Very interesting and insightful course.

By ابو ا م س ا

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Oct 30, 2019

كورس جيد جدا واستفدت منه شكرا كورسيرا

By Himanshu B

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Oct 17, 2015

Exceptionally good.great experience.

By Subhabrata G

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May 2, 2016

very good - step by step and clear.

By ZoeyHexu

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Jun 25, 2016

not easy but rather clear speech

By Cherry Z

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Jan 20, 2018

purely fundamental mathematics

By Shubham

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Sep 11, 2018

Wonderful learning experience

By Harold

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Sep 29, 2016

Too difficult for a beginner

By Julien H J

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Feb 24, 2016

Not exactly for business use

By Ravi D

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Jan 30, 2016

Learning some great things!

By jude c o

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Sep 24, 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 7, 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 19, 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