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

4.9
stars
1,293 ratings

About the Course

Unlock the full potential of Excel for advanced data analysis with this four-week course. Designed for aspiring data analysts and business professionals, you'll master Microsoft's powerful tools: Power Query, Power Pivot, and Power BI. This program will transform your ability to handle, analyze, and visualize large datasets, moving beyond traditional spreadsheet limitations. By the end of this course, you will be able to: * Automate data import and transformation using Power Query. * Perform advanced data modeling and analytics with Power Pivot and DAX. * Create dynamic, interactive reports and dashboards in Power BI. * Efficiently manage and analyze millions of rows of data within Excel. To succeed, we recommend prior experience with Excel fundamentals and data visualization, ideally from our 'Data Analytics and Visualization' Specialization. This course is designed for Excel 2016 and later, with Office 365 recommended for optimal experience. Please note: Power Query, Power Pivot, and Power BI Desktop are Windows-only....

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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126 - 150 of 344 Reviews for Excel Power Tools for Data Analysis

By frank m

Oct 4, 2021

great!! this is a really wonderful course. I learned a lot, and it was so usefriendly

By Nitin C

May 15, 2024

very good course and easy to understand. Macquarie university provides best courses.

By muhammad s

Feb 26, 2022

Excellent Course for moderate level learning of data analytics. Highly recommended!

By AN L V T

Aug 6, 2021

This course is really useful, easy to understand and practice!! Thank you very much

By Felix F

May 20, 2022

Very good course with many useful insights, also for my professional work-life!

By Zobe M

Dec 8, 2024

very hands-on course. Explanation very clear and step by step. I recommend it.

By Enrico L

Jul 17, 2021

Great course, high quality content, excellent teacher, challenging exercises.

By Miriam C P

Aug 4, 2023

Excelente con algunas diferencias entre version ingles y español del software

By RUSHI A

Jan 26, 2022

It was such a productive course which help me to increase my analysis skills

By Nabilah M

Jan 24, 2022

Worth the time :) I learnt so much things, which beneficial for my career :)

By Ruperto F

Aug 11, 2024

The course was excellent: the explanation was clear and easy to understand.

By Dwight D

Sep 19, 2025

Very good course for understanding Power Tools at the introductory level.

By seyedmorteza k

Mar 18, 2022

fantastic course which I learned more than I expected. Thank you coursera

By Daniel C B

Oct 17, 2021

Excellent course. I have learnt many skills that will make my job easier.

By Mustafa H

Oct 22, 2021

Excellent Course - Must have skills for Finance Professionals . Thankyou

By Baiyang X

Apr 13, 2023

Good Structure, hope there will be more content and practice like this.

By Masha H

Jun 27, 2021

I enjoyed the course, there was a lot of useful information! Thank you!

By Silvia

Aug 23, 2022

Very well structured course and very clear explanations. Thanks Nicky!

By Deleted A

Aug 6, 2022

First-class course. Excellent instructors. Nicky Bull knows his stuff.

By Ferbian

Aug 30, 2022

A very informative course. Complex information is greatly simplified.

By Lena W

Aug 11, 2021

Good step-by-step introduction with clear content and good exercises.

By Dr. A N

Jan 1, 2023

Excellent course. Great learning experience on Power -Query/Pivot/BI

By MARIA A B M

Apr 13, 2021

Excelente el curso, muy práctico y fácil de entender. me ayudó mucho

By R R

May 21, 2023

Great course to learn data analysis. Well-structured and explained.