Get Certified (PL-300): Become a Certified Power BI Data Analyst -APAC

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Get Certified (PL-300): Become a Certified Power BI Data Analyst -APAC

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Get Certified (PL-300): Become a Certified Power BI Data Analyst -APAC

形式:
ライブストリーム

トピック: インテリジェントなアプリケーション

言語: 英語

このシリーズのイベント:
5

Set yourself up for success with this in-depth PL-300 certification exam preparation series. Designed for Power BI Data Analysts ready to demonstrate their expertise, this five-session series covers all four key exam sections: preparing data, modeling data, visualizing & analyzing data, and managing & securing data. We’ll end the series with a final session focused on preparing for exam day.

Each session dives into the essential concepts, tools, and techniques you'll need to pass the exam. Whether you're new to Power BI or building on your existing skills, this series gives you the knowledge and confidence to take the PL-300 exam and to take your data analyst skills to the next level.

Live sessions will be available in English in two time zones. If you are looking for an earlier session, visit this series.

今後のイベント

以下のイベントをクリックして詳細を確認し、個々のイベントに登録してください。

常時 - 協定世界時

6月

木曜日

2025

PL-300: Modeling data using Power BI (APAC)

2:00 午前 - 3:00 午前 (UTC)

Welcome to the second episode of Get Certified (PL-300): Become a certified Power BI Data Analyst. The focus of this episode is modeling your data using Power BI. This episode will flow from designing and implementing a data model, to creating model calculations using DAX, and end on optimizing model performance. Request your 50% PL-300 voucher Prepare for exam PL-300 Celebrate Power BI turning 10 Join the #PBI10 dataviz contest

形式:
ライブストリーム

トピック: インテリジェントなアプリケーション

言語: 英語

詳細

6月

木曜日

2025

PL-300: Visualize and analyze data using Power BI (APAC)

2:00 午前 - 3:00 午前 (UTC)

Welcome to the third episode of Get Certified (PL-300): Become a certified Power BI Data Analyst. The focus of this episode is visualizing and analyzing your data using Power BI. This episode covers creating reports, enhancing reports for usability and storytelling and identifying patterns and trends.

形式:
ライブストリーム

トピック: インテリジェントなアプリケーション

言語: 英語

詳細

7月

木曜日

2025

PL-300: Manage and secure Power BI (APAC)

2:00 午前 - 3:00 午前 (UTC)

Welcome to the fourth episode of Get Certified (PL-300): Become a certified Power BI Data Analyst. The focus of this episode is managing and securing your data using Power BI. This episode dives deep on creating and managing workspaces and assets, and securing and governing Power BI items.

形式:
ライブストリーム

トピック: インテリジェントなアプリケーション

言語: 英語

詳細

7月

木曜日

2025

PL-300: Prepare for exam day and open Q&A (APAC)

2:00 午前 - 3:00 午前 (UTC)

Welcome to the fifth episode of Get Certified (PL-300): Become a certified Power BI Data Analyst. The focus of this episode is preparing for exam day. This episode will cover how to prepare for your exam, the format and scoring of the exam and tips and tricks for exam day. There will also be open Q&A with experts who have passed the exam.

形式:
ライブストリーム

トピック: インテリジェントなアプリケーション

言語: 英語

詳細

講演者

Gaston Cruz
- Director, Microsoft MVP, Microsoft Super User
Slalom
Javier Ignacio Villegas
- Data Platform MVP & IT Director
Mediterranean Shipping Company
Anupama Natarajan
- Data And Ai Consultant, Microsoft MVP
Pearl Innovations Limited
Martin Catherall
- Data Specialist, Microsoft MVP
BiTQ
Amit Chandak
- Cao, Microsoft MVP, Microsoft Super User
Kanerika Software Pvt.Ltd.
Vahid Doustimajd
- Project Controls and Analytics Manager | Microsoft MVP
Fulton Hogan
Heidi Hasting
- Microsoft MVP and Manager, Data Engineering
Avanade
Chris Hyde
- Owner And Principal Consultant, Microsoft MVP
Hydrate Consulting LLC

このシリーズの過去のイベント

常時 - 協定世界時

6月

木曜日

2025

PL-300: Preparing data using Power BI (APAC)

2:00 午前 - 3:00 午前 (UTC)

Welcome to the first episode of Get Certified (PL-300): Become a certified Power BI Data Analyst. The focus of this episode is preparing your data using Power BI. This episode starts with an overview of PL-300 and Power BI, then quickly transitions into getting data, profiling and cleaning data and finally transforming and loading data.