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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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801 - 825 of 1,088 Reviews for Excel Fundamentals for Data Analysis

By Fernando R

•

Feb 5, 2023

NICE COURSE

By malinda s

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Oct 28, 2022

excellent!

By Brenda P

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Sep 19, 2022

Thank you.

By jabir c

•

Jul 20, 2022

Excellent💝

By Nguyen L A T

•

Jun 21, 2022

Good Course

By Molly C

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Mar 21, 2022

Good Course

By Rizki A

•

Oct 31, 2021

Good course

By Sougata P

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Oct 11, 2021

Excellent!

By Nikhil B

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Aug 15, 2021

Good Course

By Hatziri S

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Apr 21, 2021

pretty cool

By Adrian B W

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Feb 7, 2021

really good

By Saurabh K

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Nov 14, 2020

VERY USEFUL

By Ranga c J

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Jul 22, 2020

Amazing !!!

By Jignesh J

•

Jun 30, 2020

Very Useful

By Dana V L M

•

Jul 27, 2025

Muy bueno.

By Eldar A

•

Apr 8, 2025

Very good!

By Nhat H D

•

Mar 25, 2024

Very nice!

By Nahim A R

•

Feb 16, 2023

Excellent.

By Irene C

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Dec 10, 2022

Excellent!

By Michael D A

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Sep 20, 2022

Thank you

By Sunday T A

•

Sep 13, 2022

Impactful

By Sam M

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May 19, 2022

excellent

By Mehmet G E

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Jun 30, 2021

It's great

By Enriquez J F E

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Jun 25, 2021

EXCELENT!

By Daniela G

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Mar 17, 2021

Very good!