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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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751 - 775 of 1,088 Reviews for Excel Fundamentals for Data Analysis

By pritee k

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Nov 4, 2021

excellent course

By Mahabub H M

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Sep 4, 2021

Excellent course

By Mohiuddin S

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Mar 20, 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 3, 2021

Excellent Course

By Henry J M

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Jan 14, 2021

Learned ALOT!!!!

By Mirshod G

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Sep 26, 2020

Excellent Course

By Laura M F M

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Jul 31, 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.

By Angel P

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Oct 9, 2021

Excelente curso

By hadiyan s f

•

Sep 22, 2021

so great course

By ximena r

•

May 6, 2021

muy interesante

By Nelson L

•

Feb 3, 2023

perfect course

By Isabel L

•

Jun 25, 2021

Great course !

By DEBANJAN B

•

Jan 16, 2021

GREAT LEARNING

By Andres F

•

Nov 29, 2020

GREAT COURSE !

By Onis C

•

Jul 26, 2020

Easy to follow

By Shu-Han T

•

Jul 2, 2020

VERY USEFUL!!!

By AZIZBEK R K O

•

Feb 10, 2025

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By Daniel G P

•

Mar 23, 2024

Great course!

By Sai S P

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Apr 18, 2023

Very helpful.

By Arturo m

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Feb 27, 2023

Great Course!

By MAHESH P

•

Oct 29, 2022

great cource