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Learner Reviews & Feedback for Excel Fundamentals for Data Analysis by Macquarie University

4.8
stars
4,230 ratings

About the Course

As data becomes the modern currency, so the ability to analyse the data quickly and accurately has become of paramount importance. Excel with its extraordinarily broad range of features and capabilities is one of the most widely used programs for doing this. In the first course of our Excel Skills for Data Analysis and Visualization Specialization, you will learn the fundamentals of Excel for data analysis. When you have completed the course, you will be able to use a range of Excel tools and functions to clean and prepare data for analysis; automate data analysis with the help of Named Ranges and Tables; and use logical and lookup functions to transform, link and categorise data. This course will enable you to build a strong foundation in the fundamentals, helping you to be more efficient in your day-to-day and developing the necessary skills to work with the more advanced techniques used in later courses. To make the content easy to relate to and to personalize the learning experience, we are going to follow Zara's journey through the course. Who is Zara? Well, she is no-one and everyone. You will find that Zara's trials and tribulations sound familiar, and together with Zara, you will develop your Excel skills along the way — and, importantly, have some fun doing it. The Excel Skills for Data Analytics and Visualization courses are the sequel to one of most successful specializations on Coursera, Excel Skills for Business, which has attracted hundreds of thousands of learners and top ratings. Transform your skills, your confidence, and your opportunities by adding this new set of skills to your repertoire....

Top reviews

PA

Feb 5, 2021

A very well structured course with easy to follow examples. I would give it a 4.5 because there is some error in the workbook and quizzes but apparently, it hasn't been changed despite to complaints

FV

Jul 17, 2020

Well done. A small thing, though: in the quizzes, the grading could be made more fault-tolerant. Example: an answer such as AND(y,x) instead of AND(x,y) is deemed wrong, which borders on the nasty.

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776 - 800 of 1,087 Reviews for Excel Fundamentals for Data Analysis

By 1RN19CS125 S

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Aug 27, 2022

Very helpful.

By Felipe C

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Sep 29, 2021

Great course!

By Thi D N

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Mar 15, 2021

Super useful!

By Corina T

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Nov 26, 2020

Just perfect!

By Manjula

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Jul 20, 2020

good platform

By Molly S

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Jul 27, 2025

Great Course

By Berlian S P

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Nov 28, 2024

great course

By Luis F S L

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Oct 22, 2023

MUY EXIGENTE

By Kyle P

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Mar 31, 2023

good course!

By SUSHRUTH V S

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Dec 7, 2022

GREAT COURSE

By Radu M J

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Nov 23, 2022

Verry useful

By REYA G

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Oct 10, 2022

INFORMATIVE

By SHUBHAM C

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Oct 9, 2022

very useful

By Timothy M

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Jul 6, 2022

great course

By sreeram t

•

May 6, 2022

Well crafted

By Choi M H

•

May 5, 2022

Great course

By Akash C

•

Apr 19, 2022

Very helpful

By JOSE A M S

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Jan 2, 2022

Muy completo

By Mostafa R

•

Sep 24, 2021

Great Course

By Rina F

•

Sep 9, 2021

Excellent !!

By Rano K

•

Nov 16, 2020

Very useful!

By Bilolbek Q

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Jan 24, 2025

Very good !

By Daniyal K

•

Nov 2, 2024

Exceptional

By nicholas o

•

Dec 20, 2023

EXCEPTIONAL

By Osama F

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May 30, 2023

Exceptional