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内容由Chandoo - Microsoft Excel MVP, Training & Data Analysis Specialist, Chandoo - Microsoft Excel MVP, and Data Analysis Specialist提供。所有播客内容(包括剧集、图形和播客描述)均由 Chandoo - Microsoft Excel MVP, Training & Data Analysis Specialist, Chandoo - Microsoft Excel MVP, and Data Analysis Specialist 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal
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CP052: Book Review – M is for Data Monkey by Ken & Miguel

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Manage episode 185857476 series 1535995
内容由Chandoo - Microsoft Excel MVP, Training & Data Analysis Specialist, Chandoo - Microsoft Excel MVP, and Data Analysis Specialist提供。所有播客内容(包括剧集、图形和播客描述)均由 Chandoo - Microsoft Excel MVP, Training & Data Analysis Specialist, Chandoo - Microsoft Excel MVP, and Data Analysis Specialist 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

In the 52nd session of Chandoo.org podcast, let’s discuss monkeys, Ok, I am kidding. We are going to talk about M is for Data Monkey book.

session-052 - Book Review - M is for Data Monkey by Ken Puls & Miguel Escoabr

What is in this session?

In this podcast,

  • Updates: Why so much gap between episodes?
  • Quick introduction to Power Query
  • Why you should get this book?
  • What is in this book?
  • A very cool example of the techniques you will learn
  • Conclusions

Listen to this session

Click here to download the MP3 file.

Transcript of this session:

Download this podcast transcript [PDF]

Resources for this podcast

M is for Data Monkey book

More information & tutorials on Power Query

More resources on Power Query

Courses to help you tackle data problems

What is your favorite Power Query book?

Have you read M is for data monkey? How do you like it? What other books on PQ do you read? Please share your opinions and suggestions in the comment box.

The post CP052: Book Review – M is for Data Monkey by Ken & Miguel appeared first on Chandoo.org - Learn Excel, Power BI & Charting Online.

  continue reading

57集单集

Artwork
icon分享
 

已归档的系列专辑 ("不活跃的收取点" status)

When? This feed was archived on June 15, 2023 14:07 (10M ago). Last successful fetch was on August 02, 2022 07:14 (1+ y ago)

Why? 不活跃的收取点 status. 我们的伺服器已尝试了一段时间,但仍然无法截取有效的播客收取点

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 185857476 series 1535995
内容由Chandoo - Microsoft Excel MVP, Training & Data Analysis Specialist, Chandoo - Microsoft Excel MVP, and Data Analysis Specialist提供。所有播客内容(包括剧集、图形和播客描述)均由 Chandoo - Microsoft Excel MVP, Training & Data Analysis Specialist, Chandoo - Microsoft Excel MVP, and Data Analysis Specialist 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

In the 52nd session of Chandoo.org podcast, let’s discuss monkeys, Ok, I am kidding. We are going to talk about M is for Data Monkey book.

session-052 - Book Review - M is for Data Monkey by Ken Puls & Miguel Escoabr

What is in this session?

In this podcast,

  • Updates: Why so much gap between episodes?
  • Quick introduction to Power Query
  • Why you should get this book?
  • What is in this book?
  • A very cool example of the techniques you will learn
  • Conclusions

Listen to this session

Click here to download the MP3 file.

Transcript of this session:

Download this podcast transcript [PDF]

Resources for this podcast

M is for Data Monkey book

More information & tutorials on Power Query

More resources on Power Query

Courses to help you tackle data problems

What is your favorite Power Query book?

Have you read M is for data monkey? How do you like it? What other books on PQ do you read? Please share your opinions and suggestions in the comment box.

The post CP052: Book Review – M is for Data Monkey by Ken & Miguel appeared first on Chandoo.org - Learn Excel, Power BI & Charting Online.

  continue reading

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