Power BI Data Analyst

MS-PL300T00
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Type

Virtual

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Classroom ILT

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Skill Level

Microsoft Techs: Intermediate

Available dates

October 23, 2024
November 6, 2024
November 20, 2024
December 3, 2024
December 17, 2024
January 15, 2025
February 19, 2025
March 19, 2025

Learning Path

Analytics and Data Management
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Virtual

Duration

3 Days
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1 Day

Asian man working on his laptop while sitting at a desk

TYPE

Virtual

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Classroom ILT

Lecturer teaching class icon

LEARNING PATH

Analytics and Data Management
Orange and black technology icon

SKILL LEVEL

Microsoft Techs: Intermediate

DURATION

3 Days
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AVAILABLE DATES

October 23, 2024
November 6, 2024
November 20, 2024
December 3, 2024
December 17, 2024
January 15, 2025
February 19, 2025
March 19, 2025

Choose date

R7 800,00

Price excluding VAT

Introduction:

This course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will also show how to access and process data from a range of data sources including both relational and non-relational data. This course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Finally, this course will show how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI.

 

Audience profile:

The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises.

Job role: Data Analyst

 

Pre-requisites:

  • Successful Data Analysts start this role with experience of working with data in the cloud.
  • Specifically:
  • Understanding core data concepts.
  • Knowledge of working with relational data in the cloud.
  • Knowledge of working with non-relational data in the cloud.
  • Knowledge of data analysis and visualization concepts.
  • You can gain the prerequisites and a better understanding of working with data in Azure by completing Microsoft Azure Data Fundamentals before taking this course.
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