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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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726 - 750 of 1,088 Reviews for Excel Fundamentals for Data Analysis

By Shubham D A

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Jan 24, 2023

AWESOME EXPERIENCE

By Vikasa V

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Jan 14, 2023

exceptional course

By METROUNI H

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Nov 10, 2022

un cours complèt !

By Victoria O

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Sep 27, 2022

Excellent course!

By Sarah C

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Aug 24, 2022

clear and helpful.

By irfan w n

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Jul 6, 2022

greaat challenging

By Gaelle A

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Dec 15, 2020

very comprehensive

By Eddy P M

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Apr 11, 2025

Excellent cours !

By Leonel L

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Mar 8, 2025

Fantastic Course!

By Rizki N M

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Oct 28, 2024

great opportunity

By Nurunnahar

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Nov 21, 2023

So helpful course

By Andres V

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Aug 18, 2022

Very good course!

By Dan H

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Apr 27, 2021

Excellent Course!

By SANDEEP K

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Mar 21, 2021

very good content

By Renzel M

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Jan 13, 2021

Great Experience!

By Flo u

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Aug 18, 2025

Well structured!

By Maria L

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Dec 4, 2024

excellent course

By Ayaz A

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Apr 19, 2024

great experience

By Brij B S

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Mar 22, 2024

Excellent course

By Guido B

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Sep 15, 2023

Excellent Course

By Subhash K

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Aug 14, 2023

Very good course

By Sadam U K

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May 27, 2023

Great experience

By Carlos L

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Dec 4, 2022

Excelente curso.

By Tanima R

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Nov 29, 2022

good but complex