PL-300 | Microsoft Power BI Data Analyst

Name: PL-300 | Microsoft Power BI Data Analyst
Start: 1970-01-01T00:00:00+00:00
End: 1970-01-01T00:00:00+00:00
Location: Bensheim

What awaits you

Introduction to Microsoft Data Analytics
- Roles and responsibilities of the data analyst
- Introduction to Power BI
Preparing data in Power BI
- Identify and obtain data from various sources
- Connection methods and their impact on performance
- Using Microsoft Dataverse
- Establish a connection to a data flow
Cleaning, transforming, and loading data in Power BI
- Data structuring
- Improving the data structure
- Data profiling
Designing a data model in Power BI
- Introduction to Data Modeling
- Working with tables
- Dimensions and hierarchies
Creating model calculations using DAX
- Introduction to DAX
- Simple formulas and expressions
- Calculated tables and measured values
- Working with time intelligence functions and key performance indicators
Optimizing model performance
- Steps, processes, concepts and best practices for optimizing a data model
- Optimizing DirectQuery models
- Creating and managing aggregations
Creating reports in Power BI
- Design of a report page layout
- Selecting and adding effective visualizations
- Adding basic reporting functionality
- Navigation and interaction
- Improving reporting performance
- Design for accessibility
Creating dashboards in Power BI
- Creating a dashboard
- Real-time dashboards
- Extending a dashboard
Expanding reports for usability and storytelling
- Overview of paginated reports
- Creating paginated reports
Advanced analysis in Power BI
- Advanced Analysis
- Data insights through AI imagery
Managing data records in Power BI
- parameter
- Data records
- Security
Creating and managing workspaces
- Creating workspaces
- Sharing and managing content

Goal

This seminar covers various methods and best practices regarding business and technical requirements for modeling, visualizing, and analyzing data with Power BI. You will learn how to access and process both relational and non-relational data from various sources, and how to implement appropriate security standards and policies within the Power BI ecosystem, including datasets and groups. The seminar also covers managing and deploying reports and dashboards for content sharing, as well as creating paginated reports within the Power BI service and publishing them to a workspace for integration into Power BI.

Requirement

Experience working with data in the cloud, in particular:
- Understanding of key data concepts
- Knowledge of working with relational data
- Knowledge of working with non-relational data
- Knowledge of data analysis and visualization concepts
You can also acquire this knowledge through the Microsoft Azure Data Fundamentals certification.

Miscellaneous

Services already included in the seminar price:

Meals (EUR 25.00/day including lunch)
Training materials

Possible expenses:

Overnight stays
further meals

All details at a glance

today Start:

July 6, 2026, 09:00

timer End:

July 8, 2026, 5:00 PM

place Location:

Bensheim

category Category:

payments Net price:

€1040

hearing Language:

German

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Summary

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today Start:

July 6, 2026, 09:00

timer End:

July 8, 2026, 5:00 PM

place Location:

Bensheim

info Price information:

hearing Language:

German

payments Total price:

0.00 €

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PL-300 | Microsoft Power BI Data Analyst

What awaits you

Contents

Goal

Requirement

Miscellaneous

All details at a glance

Your data has been successfully transmitted

Fill out the booking form and register!

Step 1: Fill in the participant data

Step 2: Add this participant

Step 3: Complete booking

Summary

You might also be interested in:

AI in Focus: The exchange and expert roundtable on AI in the system house

Expert panel for system administrators

Focus group: Optimizing tools, processes and billing in the system house

AI in Focus: The exchange and expert roundtable on AI in the system house

Expert panel for system administrators

Focus group: Optimizing tools, processes and billing in the system house

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