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

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

加入 Microsoft Reactor 并实时与初创公司和开发人员互动

是否准备好开始使用 AI？  Microsoft Reactor 提供活动、培训和社区资源，以帮助初创公司、企业家和开发人员利用 AI 技术打造新业务。快加入我们吧！

形式:
直播

主题: 智能应用程序

此系列中的活动:
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 a later session, visit this series.

即将举办的活动

单击下面的活动以了解详细信息并注册各个活动。

所有时间采用 - 协调世界时

6月

星期三

2025

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

3:00 下午 - 4:00 下午 (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:
直播

主题: 智能应用程序

语言: 英语

详细信息

7月

星期三

2025

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

3:00 下午 - 4:00 下午 (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:
直播

主题: 智能应用程序

语言: 英语

详细信息

7月

星期三

2025

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

3:00 下午 - 4:00 下午 (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:
直播

主题: 智能应用程序

语言: 英语

详细信息

主讲人

Frank Geisler
- CEO / MVP
GDS Business Intelligence GmbH
Ilgar Zarbaliyev
- Microsoft Data Platform MVP
SumProduct Pty Ltd.
Johan Ludvig Brattås
- Director, Microsoft MVP
Deloitte
Markus Ehrenmülle
- Software Engineer / MVP
Savory Data
Miguel Felix
- Microsoft Data Platform MVP
TTR Data
Shabnam Watson
- Data And Solution Architect, Microsoft MVP
ABI Cube
Doher Drizzle Pablo
- Microsoft MVP, Community Leader
BizApps Pinoy Community, Power BI PH Community
Stephanie Bruno
- Microsoft Data Platform MVP; BI Architect
iLink Digital
Jakub Wawrzyniak
- Microsoft Data Platform MVP
CTO @TIDK
Matthias Falland
- Cto, Microsoft MVP
Corporate Software

此系列中的过去活动

所有时间采用 - 协调世界时

6月

星期三

2025

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

3:00 下午 - 4:00 下午 (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. Request your 50% PL-300 voucher - https://aka.ms/pbi10/cert50 Prepare for exam PL-300 - https://aka.ms/pl300/prepare Celebrate Power BI turning 10 - https://aka.ms/pbi10 Join the #PBI10 dataviz contest - https://aka.ms/pbi10/dataviz

形式:
直播

主题: 智能应用程序

语言: 英语

观看点播

6月

星期三

2025

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

3:00 下午 - 4:00 下午 (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.