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

4.8
stars
3,876 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

KF

Dec 3, 2023

This is the best course I have seen in excel fundamentals on any platform. Easy to follow, many practice tests, spreadsheets and useful cheatsheets. Kudos to the instructors and Macquarie University.

FV

Jul 17, 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 1,023 Reviews for Excel Fundamentals for Data Analysis

By Nurunnahar

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Nov 21, 2023

So helpful course

By Ahmed F

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Oct 10, 2022

very good course

By Andres V

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Aug 17, 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 Maria L

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Dec 3, 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 14, 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 3, 2022

Excelente curso.

By Tanima R

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Nov 29, 2022

good but complex

By pritee k

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Nov 3, 2021

excellent course

By Mahabub H M

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Sep 4, 2021

Excellent course

By Mohiuddin S

•

Mar 19, 2021

Very Good Course

By Moriba F

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Feb 13, 2021

Very rich course

By Rico R S

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Feb 2, 2021

Excellent Course

By Henry J M

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Jan 13, 2021

Learned ALOT!!!!

By Mirshod G

•

Sep 26, 2020

Excellent Course

By Laura M F M

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Jul 30, 2020

Excellent course

By Muhammad F S

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Jul 29, 2020

very interesting

By Khoirun N

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Oct 18, 2024

Its good to try

By Mitesh P J

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Dec 3, 2021

Very Very Good.