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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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701 - 725 of 1,088 Reviews for Excel Fundamentals for Data Analysis

By AHMAD S

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Sep 21, 2021

complete excel training

By Agnius M

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Jan 3, 2022

The best course so far

By Salman F

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May 2, 2021

EXCELLENT INSTRUCTORS!

By GULXAYO Z I Q

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Mar 26, 2025

очень интересной темы

By bounphet t

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Mar 27, 2023

very good course ever

By Daniel R

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Mar 19, 2023

Amazing Just Amazing!

By Elias C

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Dec 6, 2020

Excellent and Helpful

By Muhammad M k

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Jun 5, 2023

best course designed

By Abdurrahman M E

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Apr 13, 2023

thank you very much.

By David

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Nov 22, 2022

Very helpful course.

By walid a

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Jan 24, 2022

its very good course

By wondwossen a

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Sep 27, 2021

THANK YOU COURSERA!

By Lokesh V

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Apr 20, 2021

Very Nice, Excellent

By Tatjana P

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Oct 11, 2020

Very good course !!!

By INGRITD M D N

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Dec 15, 2025

I like this course.

By Mohsen A

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Dec 27, 2023

Excellent knowledge

By Mandy A

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Feb 4, 2023

very easy to follow

By Elizabeth R

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Mar 14, 2022

Estuvo muy practico

By Klaus B

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May 10, 2021

Great learning! :-)

By Shamma H M G A

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Dec 10, 2020

I have learned ALOT

By tesfalidet g

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Oct 17, 2020

Excellent material!

By Christina A

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Jul 30, 2020

Thank you Coursera!

By Deleted A

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Dec 30, 2024

Good EXCEL course!

By Corinne K

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Mar 27, 2023

Loved this course!