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

4.9
stars
1,163 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

LM

Jun 3, 2024

Very useful course. Learning a bit of power query sped up the amount of time it takes for me to generate reports. Also makes the process more repeatable, and less prone to errors. Great job!

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.

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251 - 275 of 305 Reviews for Excel Power Tools for Data Analysis

By Asif S

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Oct 26, 2023

Excellent

By Faisal S

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Sep 17, 2023

Excellent

By Toshit P (

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Aug 23, 2023

Excellent

By Abdelazim a

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Jun 18, 2023

very good

By Junior C

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May 30, 2023

Excellent

By Pablo P

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May 24, 2023

Muy bueno

By bounphet t

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Mar 28, 2023

very good

By Norly T B A

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Feb 13, 2023

Muy útil.

By Elias M D

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Nov 9, 2022

Excelente

By Abdulrahman M A A

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Jun 21, 2022

Wonderful

By Hafsah N

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Jun 5, 2022

Excellent

By Juan R

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May 28, 2022

Awesome!!

By Shafiq k

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Nov 15, 2021

Excellent

By Sherif E

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Jun 22, 2021

veru good

By Heedong L

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Apr 3, 2021

Excellent

By Eduardo S R

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Jul 30, 2021

Awesome

By Howard C F S

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Sep 20, 2023

Helpful

By saini n

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Jan 24, 2024

Thanks

By Ольга С

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Oct 25, 2022

good

By M. A

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Feb 21, 2022

Great

By HASSAN A H A

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Oct 21, 2024

شكرا

By Chunchu N

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May 30, 2024

good

By Matías V

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Feb 4, 2024

sas

By Qurban A K

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Jul 19, 2023

'

By Olena K

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Jan 27, 2024

It's a great course. The instructor explains complex concepts and different features in an easy-to-understand way. The only thing I don't understand is why they dedicated the whole week to Power BI in the course about MS Excel. I would rather learn and practice more advanced Excel features. Also, it would be incredible to have examples and scenarios with some statistical calculations as it's often part of the Data Analyst role.