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

4.8
stars
4,260 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

MC

Sep 24, 2022

I​t was an excellent experience to learn in these type of flatform. This is course give me a tremoundous learning oppurtunity . iam studied all studied materila, attended all quizes with 80 t0 95% .

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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1001 - 1025 of 1,096 Reviews for Excel Fundamentals for Data Analysis

By Pablo M

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Mar 8, 2021

Manejo de herramientas de Excel para el tratamiento de datos

By Gurnoor V

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Oct 9, 2021

I took a lot of new tool that I start using for my new job.

By Mrunmai R

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Aug 23, 2020

wonderful explanation with properly designed assignments

By Athul M

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Feb 22, 2025

from week 3 the difficulty was on a whole another level

By Deleted A

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Feb 9, 2022

Soem problems are a bit hard but I enjoy the challenge.

By Janvier H

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Jul 20, 2021

Didn't expect the course is this amazing, very grateful

By Alan S

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Aug 4, 2020

Excellent course content and very useful. Many thanks.

By Mohamad H

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Aug 10, 2021

Good learning for data analysis computation and logic.

By Diana C R C

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Oct 29, 2021

enseña muchas herramientas para el manejo de excel

By Rezaul K M

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Sep 1, 2023

very good for learning excel for data analysis

By Tan X X

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May 3, 2022

It is really practical and easy to understand

By Brice R

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Apr 7, 2025

The course was very practical and i loved it

By Ghifari M R

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Jul 15, 2022

I still need the answer of every assessment

By K B

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Nov 21, 2021

very informative & practcally very useful

By Rufino R S

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Sep 30, 2022

Un curso bastante dinámico para aprender.

By Jorjhan O L O

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Mar 29, 2021

There are many errors on the assesments

By Firdaus I

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Jun 17, 2024

It's comprehensive and it wasn't easy!

By Veeru V

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Oct 31, 2020

Its useful to learn Excel basic level

By 2021 A J L V F

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Oct 10, 2024

Not all what they teach is useful

By Miladi k

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Aug 25, 2023

Great for fresh learners of excel

By Oratile B S

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Nov 11, 2022

Amazing course very informative

By Madona S

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Jun 10, 2023

thanks for this amazing course

By Jonathan C

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Nov 15, 2021

Some typos, but good content

By Rayi D

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Oct 29, 2021

some key answers might error

By linh n

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Mar 7, 2023

the test should be harder