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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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876 - 900 of 1,087 Reviews for Excel Fundamentals for Data Analysis

By Xuan A N

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Jun 21, 2023

geat!

By Abdelazim a

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May 3, 2023

great

By Hiếu P

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Oct 24, 2022

Nice

By SAKSHI W

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Oct 12, 2022

best

By Harsh D

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Sep 29, 2022

good

By KAPAYA-KANYANGALA M

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Dec 19, 2025

good

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Feb 15, 2025

good

By Herobrine P

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Feb 1, 2025

good

By RUBEN L M

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Nov 20, 2024

NICE

By Aakash S

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Dec 13, 2023

nice

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Sep 21, 2023

good

By Vike

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Jul 24, 2023

good

By Daniel F O N

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Mar 1, 2023

Good

By ROHIT V G

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Oct 14, 2022

DSF

By Francesco G

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Sep 30, 2022

good

By Sangeet A

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Jul 31, 2022

GOOD

By Md. A A

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Feb 20, 2022

good

By CHINNU S K

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Sep 2, 2020

nice

By Muhammad R

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Feb 22, 2022

TQ

By NARZILLO B S

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Apr 14, 2025

D

By BRAYAN E T

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Nov 10, 2022

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By Saurav K

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Sep 30, 2022

By Himmat S

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Jun 21, 2022

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By اسامه بن خلف بن عيد الصلعاء الشمري

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Feb 23, 2021

h