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

4.8
stars
3,887 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

KF

Dec 3, 2023

This is the best course I have seen in excel fundamentals on any platform. Easy to follow, many practice tests, spreadsheets and useful cheatsheets. Kudos to the instructors and Macquarie University.

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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826 - 850 of 1,028 Reviews for Excel Fundamentals for Data Analysis

By Jn.S

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Jan 20, 2024

useful

By Mohamed H

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Mar 27, 2023

thanks

By Colette A P D

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Jan 15, 2021

Great!

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Jan 24, 2025

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Jan 19, 2025

Great

By Xuan A N

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Jun 21, 2023

geat!

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May 3, 2023

great

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Oct 24, 2022

Nice

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Oct 12, 2022

best

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Sep 29, 2022

good

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Apr 17, 2021

great

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Jan 25, 2025

good

By RUBEN L M

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Nov 20, 2024

NICE

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Dec 13, 2023

nice

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Sep 21, 2023

good

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Jul 24, 2023

good

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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

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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 BRAYAN E T

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Nov 10, 2022

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By Saurav K

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Sep 30, 2022