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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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826 - 850 of 1,088 Reviews for Excel Fundamentals for Data Analysis

By Emelie L

•

Jan 25, 2021

I love it!

By Muhammed s

•

Jan 15, 2021

Awesome :)

By Stefan N

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Nov 14, 2024

excellent

By Mahmoud M M A

•

Oct 27, 2024

Excellent

By Rodrigo D M

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Oct 20, 2023

Fantastic

By Trí H L

•

May 14, 2023

very info

By Mahmoud A

•

Mar 31, 2023

Thanks ❤️

By Peter N

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Jan 27, 2023

Very Good

By ismail a s

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Jan 24, 2023

thank you

By Noura H M M

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Jan 15, 2023

Excellent

By Samir D

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Dec 3, 2022

very good

By Ahmad H I

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Aug 25, 2022

Good work

By Amjad I A

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Aug 16, 2022

Excellent

By ANOOP C I

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Jun 17, 2022

excellent

By Henrietta L

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May 22, 2022

practical

By 21PDS813 X J

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May 9, 2022

VERY GOOD

By Алексей А

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Feb 19, 2022

Very Good

By Pankaj S

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Jan 28, 2022

Excellent

By DIMITRIOS V

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Nov 2, 2021

Excellent

By Afifah K P

•

Oct 27, 2021

soo goodd

By Minhaj U

•

May 22, 2021

Fantastic

By Sebastian M T S

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Nov 28, 2020

Excellent

By Tan Z Z

•

Jul 11, 2020

Very nice

By JOHAN A D F

•

Dec 29, 2025

EXCELENT