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

4.8
stars
4,235 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

RA

Sep 8, 2020

Very well thought out course. Pace is good, examples are spot on, and instruction is great for someone just starting out in data analysis and needing a strong background in the fundamentals.

FV

Jul 18, 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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676 - 700 of 1,088 Reviews for Excel Fundamentals for Data Analysis

By oliver h

•

Oct 19, 2023

Perfect course for learning

By agnes l

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Jul 17, 2023

wonderfully prepared course

By Nancy W

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Mar 24, 2023

Challenging and very useful

By SHUBHAM N

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Feb 25, 2022

this course is very helpful

By Jorge C C M

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Sep 30, 2021

Excelente de comienzo a fin

By Diyorbek A

•

Apr 25, 2025

it hasn't helped me at all

By Danyi D r

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Sep 5, 2022

It is great and fantastic

By Junaid T

•

Apr 1, 2022

Great Practical Experience

By Feng F

•

Jan 9, 2022

EASY TO LEARN AND PRACTICE

By MUHAMMED S

•

Jun 22, 2021

Well explained more useful

By Manyika S

•

Aug 1, 2024

Great learning experience

By MUSTAFA K J

•

Jan 21, 2024

Good course. I approve :)

By Nadeem K

•

Dec 8, 2023

Great Course , keep it up

By Maria C

•

Jan 14, 2023

Amazingly well explained!

By ryan h

•

Sep 10, 2022

very detailed and useful

By Alia A

•

Mar 9, 2022

very challenging and fun!

By Vineeth M

•

Jan 30, 2022

Nice & Informative Course

By ROLANDO T

•

Jan 8, 2022

very challeging in week 5

By Wong S M

•

Nov 8, 2021

Practical and Informative

By Mo H M A

•

Oct 7, 2025

This course is very good

By Lorena A A

•

May 29, 2024

muy útil, me gusto mucho

By Rustamjon B

•

Oct 27, 2022

Just Super! Thanks again

By Raphael O

•

Mar 12, 2023

A worthwhile challenge.

By Nicolás R

•

Feb 23, 2023

Perfect for beginners!!

By Phuong L

•

Oct 21, 2021

A well organized course