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学生对 Macquarie University 提供的 Excel Fundamentals for Data Analysis 的评价和反馈

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4,199 个评分

课程概述

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....

热门审阅

NK

Oct 5, 2022

Very comprehensive and clearly laid out course with loads of content. Great videos, well explained and loads of practice exercises. I feel as if I've learned a great deal, Very Valuable, thank you .

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.

筛选依据：

551 - Excel Fundamentals for Data Analysis 的 575 个评论（共 1,084 个）

创建者 Larissa M

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Dec 9, 2020

very good knowledge, useful for the simple tables

创建者 Evija R

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Oct 19, 2024

Perfect! I love courses by Macquarie University.

创建者 Bedo_pr

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Feb 15, 2022

Excellent and useful values given in this course

创建者 Victoria A

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Jan 3, 2022

Great course, great specialization! Very useful!

创建者 Chris M

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Sep 27, 2021

The course opened up my mind to think critically

创建者 Niharika K

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Aug 2, 2021

Amazing course,great teachers and very hands on.

创建者 Freek P

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Mar 3, 2021

Easy to follow, very informative and interesting

创建者 Mohammed Y B R

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Jul 13, 2022

Very Informative and highly recommended to all.

创建者 Senthamilselvi S

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Jul 9, 2021

Interesting course!! Gained a lot of knowledge!

创建者 atefe i

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May 30, 2021

excellent course with the BEST instructor ever.

创建者 Deleted A

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Apr 11, 2021

A course full of knowledge and exciting things.

创建者 גל מ

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Jul 2, 2020

go through the basics and really understandable

创建者 Syed M O A

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Jul 11, 2023

this is the best course online course on excel

创建者 הילה מ

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Dec 19, 2022

Thank tou very much

please add Hebrew subtitles

创建者 ABDULLAHI I

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Nov 11, 2025

This course is interesting and a brain jogger

创建者 Daksh K

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Jan 14, 2024

This course is very helpful for data analysis

创建者 Proudmum O

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Apr 12, 2021

good teachers and excellent teaching methods

创建者 Dennis D R C

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Nov 13, 2020

Easy to follow and surely student will learn

创建者 Ayaz H

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Jul 28, 2020

Very informative and challenging. Thank you.

创建者 Jose T

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Jan 3, 2025

Good course, learned things I did not know.

创建者 Simran B

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Oct 27, 2022

The best course for advance excel learning

创建者 Юрий К

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Jan 14, 2022

Very interesting course, highly recommended

创建者 Tereza S

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Dec 4, 2020

Excellent course, great teachers, thank you

创建者 Tharani W

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Aug 14, 2020

This course really helps for professionals

创建者 Ulhas K

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Dec 29, 2022

It's really very helpful for data analysis