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Learner Reviews & Feedback for Excel Power Tools for Data Analysis by Macquarie University

4.9
stars
993 ratings

About the Course

Welcome to Excel Power Tools for Data Analysis. In this four-week course, we introduce Power Query, Power Pivot and Power BI, three power tools for transforming, analysing and presenting data. Excel's ease and flexibility have long made it a tool of choice for doing data analysis, but it does have some inherent limitations: for one, truly "big" data simply does not fit in a spreadsheet and for another, the process of importing and cleaning data can be a repetitive, time-consuming and error-prone. Over the last few years, Microsoft have worked on transforming the end-to-end experience for analysts, and Excel has undergone a major upgrade with the inclusion of Power Query and Power Pivot. In this course, we will learn how to use Power Query to automate the process of importing and preparing data for analysis. We will see how Power Pivot revolutionises the actual analysis process by providing us with an analytical database inside the Excel workbook, capable of storing millions of rows, and a powerful modelling language called DAX which allows us to perform advanced analytics on our data. We will finish off by venturing out of Excel and introducing Power BI, which also uses the Power Query and Power BI architecture but allows us to create stunning interactive reports and dashboards. This is the third course in our Specialization on Data Analytics and Visualization. The previous courses: Excel Fundamentals for Data Analysis and Data Visualization in Excel, cover data preparation, cleaning, visualisation, and creating dashboards. To get the most out of this course we would recommend you do the previous courses or have experience with these topics. In this course we focus on Excel Power Tools, join us for this exciting journey. Please note that Power Query, Power Pivot and Power BI Desktop are only available on the Windows platform, so Mac users will require Bootcamp running Windows or a Virtual machine with a Window O/S. While Power Query is available as an add-in Excel 2010 and 2013, the tools have changed significantly, and this course has only been designed and tested for Excel 2016 and later. For an optimal experience, we recommend Office 365....

Top reviews

QZ

Jun 2, 2023

Great explanation of every detail throughout the course. But I thought I'd let you know that there is a typo in the answer for the achieved % target in the Week 2 Practice challenge.

JM

Apr 12, 2023

Great course to take if you want to level up your Excel skills. I went from knowing the basics in Excel to being quite knowledgeable in Excel, Power Query, Power Pivot & Power BI.

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176 - 200 of 270 Reviews for Excel Power Tools for Data Analysis

By Muhammad J

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Nov 27, 2022

Good Design with paractical too

By Immad A

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Jan 18, 2022

Best ever course. to the point.

By Jenish

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May 15, 2023

Incredible course and content

By John M

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Dec 8, 2021

Learnt a lot from this course

By ALCEU H F

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Dec 6, 2021

Learned a lot of new contents

By Jannik S

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Oct 5, 2023

Very good and easy to follow

By John R

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Oct 30, 2022

Great interactive learning.

By Erik M

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Jun 6, 2022

Superb experience, thank you

By JI H L

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Feb 8, 2022

I can finish my work faster!

By DANIA K H A

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Mar 27, 2023

it's really amazing course

By Atharv T

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Aug 19, 2022

The Best course for Excel!

By Yashpal S T

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Jul 5, 2022

Made things crystal clear.

By 윤태성

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Dec 24, 2023

it's very good education.

By ARCHANA M

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Jul 31, 2023

Very good course to learn

By Lal T S

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Jan 27, 2022

I like this course alots.

By S D K

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Aug 28, 2023

Excelent very intractive

By Hariono H

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Jan 14, 2022

Super Cool. Thank You!!!

By Ahmed G

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May 14, 2023

Excellent certification

By Yunhong H

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Feb 5, 2022

This is a great course.

By 應賢霈

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Sep 18, 2022

Very practical! Nice.

By Muhammad S K

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May 20, 2023

amazing course Thanks

By Constantin M M

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Apr 11, 2021

High quality course.

By Hector N R

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Apr 9, 2021

An excellent course!

By Daniel S

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Oct 3, 2022

Realy good course.

By Ahmed F

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Jun 1, 2023

I do love Coursera