DA-100: Analyzing Data with Power BI

Seminarinformationen

Seminar - Ziel

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.

Teilnehmer - Zielgruppe

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.

Kurs - Voraussetzungen

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.

Seminardauer

  • 4 Tage
  • 09:00 Uhr bis 17:00 Uhr

Schulungsunterlagen

  • nach Absprache

Seminar-Inhalt / Agenda

Module 1: Get Started with Microsoft Data Analytics

  • Data Analytics and Microsoft
  • Getting Started with Power BI


Module 2: Prepare Data in Power BI

  • Get data from various data sources
  • Optimize Performance
  • Resolve data errors


Module 3: Clean, Transform, and Load Data in Power BI

  • Data shaping
  • Enhance the data structure
  • Data Profiling


Module 4: Design a Data Model in Power BI

  • Introduction to data modeling
  • Working with tables
  • Dimensions and Hierarchies

Module 5: Create Measures using DAX in Power BI

  • Introduction to DAX
  • DAX context
  • Advanced DAX


Module 6: Optimize Model Performance

  • Optimze the model for Performance
  • Optimize DirectQuery Models
  • Create and manage Aggregations


Module 7: Create Reports

  • Design a Report
  • Enhance the report


Module 8: Create Dashboards

  • Create a Dashboard
  • Real-time Dashboards
  • Enhance a Dashboard


Module 9: Create Paginated Reports in Power BI

  • Paginated report overview
  • Create Paginated reports

Module 10: Perform Advanced Analytics

  • Create animated scatter Charts
  • Use teh visual to forecast values
  • Work with Decomposition Tree visual
  • Work with the Key Influencers visual


Module 11: Create and Manage Workspaces

  • Creating Workspaces
  • Sharing and Managing Assets


Module 12: Manage Datasets in Power BI

  • Parameters
  • Datasets

Module 13: Row-level security

  • Security in Power BI

Weitere Schulungen zu Thema Power BI

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